Let's learn about Artificial Intelligence via these 500 free blog posts. They are ordered by HackerNoon reader engagement data. Visit the /Learn or LearnRepo.com to find the most read blog posts about any technology.Humans with irrational brains writing about machines with rational brains. 1. Why Is GPT Better Than BERT? A Detailed Review of Transformer ArchitecturesDetails of Transformer Architectures Illustrated by BERT and GPT Model2. My Self-Created Artificial Intelligence Masters DegreeNote: This article is a perpetual work in progress and is up to date as of 17 May 2019.3. Boosting Your App's Intelligence: Leveraging OpenAI and JS File APIYou will learn HOW OpenAI can be leveraged to enhance JS File API on the example of Smart Image Recognition4. Gradient Descent: All You Need to KnowWhat’s the one algorithm that’s used in almost every Machine Learning model? It’s Gradient Descent. There are a few variations of the algorithm but this, essentially, is how any ML model learns. Without this, ML wouldn’t be where it is right now.5. How to Fix Mouse Scroll Wheel Jumping in Windows 10 [SOLVED]If you're experiencing mouse scroll wheel jumping, you may have outdated, corrupt, or missing drivers. Another likely reason would be incorrectly configured scrolling settings. 6. Why businesses fail at machine learningI’d like to let you in on a secret: when people say ‘machine learning’ it sounds like there’s only one discipline here. There are two, and if businesses don’t understand the difference, they can experience a world of trouble.7. 6 Best Open-Source Projects for Real-Time Face RecognitionReal-time face recognition systems remain a very popular topic in computer vision, and a large number of companies have developed their own solutions to try and tap into the growing market.8. The simplest explanation of machine learning you’ll ever readYou’ve probably heard of machine learning and artificial intelligence, but are you sure you know what they are? If you’re struggling to make sense of them, you’re not alone. There’s a lot of buzz that makes it hard to tell what’s science and what’s science fiction. Starting with the names themselves…9. Starting Simple: The Strategic Advantage of Baseline Models in Machine LearningStarting your ML projects with a baseline model is a strategy that aligns with Agile methodologies promoting efficiency, effectiveness, and adaptability.10. A list of artificial intelligence tools you can use today — for personal use (1/3)Artificial Intelligence and the fourth industrial revolution has made some considerable progress over the last couple of years. Most of this current progress that is usable has been developed for industry and business purposes, as you’ll see in coming posts. Research institutes and dedicated, specialised companies are working toward the ultimate goal of AI (cracking artificial general intelligence), developing open platforms and the looking into the ethics that follow suit. There are also a good handful of companies working on AI products for consumers, which is what we’ll be kicking this series of posts off with.11. Top 5 Machine Learning Projects for BeginnersAs a beginner, jumping into a new machine learning project can be overwhelming. The whole process starts with picking a data set, and second of all, study the data set in order to find out which machine learning algorithm class or type will fit best on the set of data.12. ChatGPT Explained in 5 MinutesChatGPT has taken over Twitter and pretty much the whole internet, thanks to its power and the meme potential it provides.13. Deep Learning CNN’s in Tensorflow with GPUsIn my last tutorial, you created a complex convolutional neural network from a pre-trained inception v3 model.14. Search Algorithms in Artificial IntelligenceThere can be one or many solutions to a given problem, depending on the scenario, As there can be many ways to solve that problem. Think about how do you approach a problem. Lets say you need to do something straight forward like a math multiplication. Clearly there is one correct solution, but many algorithms to multiply, depending on the size of the input. Now, take a more complicated problem, like playing a game(imagine your favorite game, chess, poker, call of duty, DOTA, anything..). In most of these games, at a given point in time, you have multiple moves that you can make, and you choose the one that gives you best possible outcome. In this scenario, there is no one correct solution, but there is a best possible solution, depending on what you want to achieve. Also, there are multiple ways to approach the problem, based on what strategy you choose to have for your game play.15. Introducing Drag Your GAN: Drag Objects to Create New Images This isn’t just editing, but actually the creation of completely new images, allowing you to change object positions, subject poses, and more.16. I Conducted Experiments With the Alpaca/LLaMA 7B Language Model: Here Are the ResultsI set out to find out Alpaca/LLama 7B language model, running on my Macbook Pro, can achieve similar performance as chatGPT 3.517. 9 Best Data Engineering Courses You Should Take in 2023In this listicle, you'll find some of the best data engineering courses, and career paths that can help you jumpstart your data engineering journey!18. NLP Tutorial: Topic Modeling in Python with BerTopicTopic modeling is an unsupervised machine learning technique that can automatically identify different topics present in a document (textual data). Data has become a key asset/tool to run many businesses around the world. With topic modeling, you can collect unstructured datasets, analyzing the documents, and obtain the relevant and desired information that can assist you in making a better decision.19. Grayscale's (GBTC) Pump Effect Means 2021 Will Start Slowlet's look at what Grayscale is, what this 'pump effect' is, and why it might create sagging prices over the holidays.20. AI Sex Is Almost Here - And the World Isn't Ready for ItAs soon as we have a new technology, we use it to make p*rn. Any rudimentary search on the printing press, radio, TV, and the internet proves this. In fact, the internet’s early success was likely due to the technology’s ability to propagate erotic images and videos.21. AI-Generated vs. Human-Written Text: Technical AnalysisExplore an in-depth comparison of AI-generated vs human-written text, highlighting the role of perplexity and burstiness in language models.22. How to Build a Web Scraper With Python [Step-by-Step Guide]On my self-taught programming journey, my interests lie within machine learning (ML) and artificial intelligence (AI), and the language I’ve chosen to master is Python.23. 50 Killer AI ProjectsBecause of the hefty amount of data that are there without any practical use.24. Capsule Networks Are Shaking up AI — Here’s How to Use ThemIf you follow AI you might have heard about the advent of the potentially revolutionary Capsule Networks. I will show you how you can start using them today.25. What is Image Annotation? – An Intro to 5 Image Annotation ServicesImage annotation is one of the most important tasks in computer vision. With numerous applications, computer vision essentially strives to give a machine eyes – the ability to see and interpret the world. At times, machine learning projects seem to unlock futuristic technology we never thought possible. AI-powered applications like augmented reality, automatic speech recognition, and neural machine translation have the potential to change lives and businesses around the world. Likewise, the technologies that computer vision can give us (autonomous vehicles, facial recognition, unmanned drones) are extraordinary.26. Rational Agents for Artificial IntelligenceThere are multiple approaches that you might take to create Artificial Intelligence, based on what we hope to achieve with it and how will we measure its success. It ranges from extremely rare and complex systems, like self driving cars and robotics, to something that is a part of our daily lives, like face recognition, machine translation and email classification.27. How AI Bots Code: Comparing Bing, Claude+, Co-Pilot, GPT-4 and BardIn this article, we will compare four of the most advanced AI bots: GPT-4, Bing, Claude+, Bard, and GitHub Co-Pilot, by asking them to solve coding challenges.28. What are the Best Free AI Art Generators of 2023?Generative AI has made groundbreaking strides in the past few months, and Generative AI models have risen in general popularity.29. How to Use Ollama: Hands-On With Local LLMs and Building a ChatbotIn the space of local LLMs, I first ran into LMStudio. While the app itself is easy to use, I liked the simplicity and maneuverability that Ollama provides.30. Portfolio Management: All The Ways AI Is Transforming Modern Asset StrategiesThe industry was highly impacted by AI in recent years, as machine learning and artificial intelligence have made predictive analytics more accurate.31. The Digital Duumvirate: Exploring a Potential Synergy Between Blockchain Technology and AIThe cryptocurrency market faces uncertainties, but attention is shifting to the potential of Web3, Blockchain, and Tokenization. 32. I Compiled a List of Tech’s “Next Big Things” So You Wouldn’t Have to2030 will be weird33. Demystifying the Poisson Multi-Bernoulli Mixture Filter: A Leap Forward in Multi-Target TrackingThe primary task at hand revolves around multi-object tracking, a problem rooted in the complex and dynamic nature of real-world environments.34. How Social Discovery Can Help Cure LonelinessSocial nets gave us the opportunity to connect. But being in touch doesn’t mean showing attention, sympathy, and love. What's ahead of online communication? 35. Implementation of Mobile Robots for an Autonomous Scalable Smart FactoryAutonomous mobile robots for assembly factories as a databus for computers. Creating advanced eco-system using modular architecture and AI-driven factory OS36. How ChatGPT-5 Will Change the WorldChatGPT-5 and AGI is on the way and it is bound to change the world as we know it.37. Top 10 AI Tools to Check Out If You're Bored With ChatGPTThe article showcases the top 10 AI tools that can transform the way you work and live by automating tasks and improving productivity.38. Top C/C++ Machine Learning Libraries For Data ScienceImportance of C++ in Data Science and Big Data39. A Basic Knowledge of Python Can Help You Build Your Own Machine Learning ModelLet's build our own Machine Learning Model with Tensorflow, a Python library. 40. Imagic: AI Image Editing from Text CommandsThis week’s paper may just be your next favorite model to date.41. AI Doesn’t Mean the End of Work for UsI believe that AI’s impact and future pathways are overstated because human nature is ignored in such statements.42. Intro to Audio Analysis: Recognizing Sounds Using Machine Learning43. Top 20 Image Datasets for Machine Learning and Computer Vision Computer vision enables computers to understand the content of images and videos. The goal in computer vision is to automate tasks that the human visual system can do.44. 7 Effective Ways to Deal With a Small DatasetIn a real-world setting, you often only have a small dataset to work with. Models trained on a small number of observations tend to overfit and produce inaccurate results. Learn how to avoid overfitting and get accurate predictions even if available data is scarce.45. Developing AI Security Systems With Edge BiometricsLet’s speak about usage of edge AI devices for office entrance security system development with the help of face and voice recognition.46. How to Install PrivateGPT: A Local ChatGPT-Like Instance with No Internet RequiredA powerful tool that allows you to query documents locally without the need for an internet connection. Whether you're a researcher, dev, or just curious about 47. ChatGPT Became the Face of AI—But the Real Battle Is Building Ecosystems, Not Single ModelsChatGPT made AI mainstream, but real transformation comes from ecosystems that embed AI across business, not from relying on a single model.48. An AI Ark Could Save Human Knowledge—If We Don’t Screw It Up FirstExplore the AI Knowledge Ark, a visionary initiative to safeguard humanity’s intellectual and cultural legacy. Learn how AI ensures knowledge survival, inspired49. f5 Reasons AI Won’t Replace Humans… It Will Make Us SuperhumanWill AI replace humans and create an inevitable worldwide unemployment crisis?50. From Tasks to Thinking Systems: Why Automation Starts in the Mind, Not the MachineA reflection on why true automation starts with human thinking, not technology. Systems only work as clearly as the minds that design them.51. Innovations in Online Dating & Social Discovery: What SDG's Doing to Stay Ahead of the CurveWhat will online dating look like in the future? How the new technologies change the way we communicate online? 52. How AI is Disrupting The Way Educators TeachEducators are beginning to incorporate AI into the classroom at nearly every grade level making the learning experience more personalized and efficient.53. These 6 AI Tools Will 10x Your ProductivityWhile non-AI tools can also be useful, these specific tools have significantly improved my efficiency and performance. 54. How to Transform Your Data Into a Voice AI Knowledge AssistantRAIN executives give a full breakdown of the build out and power of AI Voice Assistants.55. THE BEST Photo to 3D AI Model !As if taking a picture wasn’t a challenging enough technological prowess, we are now doing the opposite: modeling the world from pictures. I’ve covered amazing AI-based models that could take images and turn them into high-quality scenes. A challenging task that consists of taking a few images in the 2-dimensional picture world to create how the object or person would look in the real world.56. How to Use ChatGPT for Python ProgrammingChatGPT is a large language model developed by OpneAI. Here are some ways you can use ChatGPT for Python programming.57. How to Make a Gaming Bot that Beats Human Using Python and OpenCVLearn to create a Python bot that plays an online game and achieves the highest score in the leaderboard beating humans.58. 🎁 Releasing “Supervisely Person” dataset for teaching machines to segment humansHello, Machine Learning community!59. SingularityNET: Learn About The World’s First Public AI Network On The BlockchainWhat to know about SingularityNET (AGI)?60. The Best ChatGPT Prompts For Content Strategy and Creation An effective guide on ChatGPT prompts to help people use ChatGPT better61. Learning AI if You Suck at Math — Part Two — Practical ProjectsIf you read the first article in this series, you’re already on your way to upping your math game. Maybe some of those funny little symbols are starting to make sense.62. How Does DALL·E mini Work?Dalle mini is amazing — and YOU can use it!63. Turn Off Google AI Overview From Search Results in ChromeDiscover multiple methods in this article to disable Google AI Overview from search results in the Chrome browser.64. Radial Basis Functions: Types, Advantages, and Use CasesAn introductory article explaining the basic intuition, mathematical idea & scope of radial basis function in the development of predictive machine learning.65. The Role of Artificial Intelligence in Education: Transforming Learning Experiences AI in education transforms learning experiences for all stakeholders and reshapes conventional educational paradigms. 66. Top 15 Chatbot Datasets for NLP ProjectsAn effective chatbot requires a massive amount of training data in order to quickly solve user inquiries without human intervention. However, the primary bottleneck in chatbot development is obtaining realistic, task-oriented dialog data to train these machine learning-based systems.67. 3 Things to Consider Before Adding GenAI to Your BusinessSecure the future of Your Business with GenAI. Consider 3 factors needed for successful deployment of GenAI in your business. 68. Hungry GPUs Need Fast Object StorageMinIO is capable of the performance needed to feed your hungry GPUs; a recent benchmark achieved 325 GiB/s on GETs and 165 GiB/s on PUTs.69. How to Earn $25-45/Hour By Helping to Train AI ModelsScale AI needs your help training AI models.70. Algorithms aren’t racist. Your skin is just too dark.The rise of artificial intelligence necessitates careful attention to inadvertent bias that can perpetuate discriminatory practices and exclusionary experiences71. An introduction to Artificial IntelligenceOne of the key feature that distinguish us, humans, from every thing else in the world is intelligence. This ability to understand, apply knowledge and improve skills has played significant role in our evolution and establishing human civilisation. But many people (including Elon Musk) believe that the advancement in technology can create super intelligence that can threaten human existence.72. 6 Biggest Limitations of Artificial Intelligence TechnologyWhile the release of GPT-3 marks a significant milestone in the development of AI, the path forward is still obscure. There are still certain limitations to the technology today. Here are six of the major limitations facing data scientists today.73. 10 Biggest Image Datasets for Computer VisionData is very important in building computer vision models and these are the 10 Biggest Datasets for Computer Vision.74. 11 Best Climate Change Datasets for Data Science ProjectsData is a central piece of the climate change debate. With the climate change datasets on this list, many data scientists have created visualizations and models to measure and track the change in surface temperatures, sea ice levels, and more. Many of these datasets have been made public to allow people to contribute and add valuable insight into the way the climate is changing and its causes. 75. How to Interpret A Contour PlotContour Plot76. Lean AI Can Revolutionize Venture Capital InvestmentLean AI can revolutionize venture capital investment by identifying successful startups and helping founders avoid challenges with economic uncertainty.77. The Hidden Cost of AI: Why It’s Making Workers Smarter, but Organisations DumberAI boosts individual performance but weakens organisational thinking. Why smarter workers and faster tools can leave companies less intelligent than before. 78. Prompt Engineering 101 - I: Unveiling Principles & Techniques of Effective Prompt CraftingLearn how to effectively communicate with machines with this 101 post series on Prompt Engineering.79. This AI Creates Realistic Animated Looping Videos from Static ImagesThis model takes a picture, understands which particles are supposed to be moving, and realistically animates them in an infinite loop!80. How OpenAI Transitioned from a Nonprofit to a $29B For-Profit CompanyOnce upon a time, in a galaxy far, far away…just kidding, it was in Silicon Valley, OpenAI was founded as a nonprofit research lab with a mission to save the 81. Decoding the Algorithm: The Ethics of Data Analysis in AI Decision-MakingMy goal is to provide insights for readers concerned about algorithms' outsized influence on justice and opportunity, and how we can shape compassionate AI.82. Top 10 Open Datasets for Linear RegressionOn Hacker Noon, I will be sharing some of my best-performing machine learning articles. This listicle on datasets built for regression or linear regression tasks has been upvoted many times on Reddit and reshared dozens of times on various social media platforms. I hope Hacker Noon data scientists find it useful as well!83. How I Let an AI Code a Game For Me!What if I would ask an artificial intelligence to writa game for me? Is it hard? Will it work? I'm using Github Copilot to try it out.84. Top 12 Twitter Feeds to Learn About AIFor those interested in AI, make sure these twelve AI Twitter accounts are on your daily feed.85. I Made Dall-E Transform Children's Sketches Into Realistic ImagesHow generative AI like DALL-E transforms children's sketches into realistic images - exploring creativity, child development, machine learning, and gen AI86. Leveraging AI With SaaS Platforms to Grow Your StartupAI-powered SaaS tools can help startups grow successfully by boosting efficiency, simplifying operations, and extracting valuable insights from data. 87. I Traded My Sketchpad for a Prompt Box—And Art Will Never Be the SameAI art, neural networks & creative disruption—explore how a simple apple exposes the edge between human intuition and machine intelligence.88. MATRIX, although you’ve never heard of it, is the next 10000%+ ICO. Here’s whyOverview: MATRIX is an open-source blockchain that supports smart contracts and machine learning services. With its infrastructure built with artificial intelligence (AI) techniques, MATRIX revolutionizes the user experience of executing smart contracts by making the whole process faster, easier, and safer. MATRIX offers breakthrough technologies in building highly flexible blockchain networks, which support continuous adaptive self-optimization and multi-chain collaboration and transaction. In addition to refactoring the blockchain with AI, MATRIX also allows its mining power to be used AI based big data applications (gene regulatory networks, clinical diagnoses, video analytics and more) by solving complex AI algorithms. This takes the large amounts of energy consumed by typical proof of work calculations and allows them to directly add value to the world, and to the applications that will run on the MATRIX chain.89. AI in Five, Fifty and Five Hundred Years — Part OneAs I said in my article What Will Bitcoin Look Like in Twenty Years:90. How To Use Microsoft Excel To Classify Your DataAn accessible introduction to ML - no programming or math required. By the end of this tutorial, you’ll have implemented your first algorithm without touching a single line of code. You’ll use Machine Learning techniques to classify real data using basic functions in Excel. You don’t have to be a genius or a programmer to understand machine learning. Despite the popularized applications of self-driving cars, killer robots, and facial recognition, the foundations of machine learning (ML) are quite simple. This is a chance to get your feet wet and understand the power of these new techniques.91. Take ChatGPT With You: Introducing Ariana, the ChatGPT Assistant That Lives in WhatsAppMeet Ariana, a ChatGPT AI assistant living in WhatsApp, providing instant answers, translations, and idea generation. 92. Searching for The Soul of Art in the Age of AI - An Artist and AI Expert's PerspectiveExploring Emotion, Identity, and Creativity Through a Human-AI Art Experiment with DALL·E 393. Generating Emotions - The Future of Art, or Just Mimics of Expression?Can AI feel? Explore how DALL-E uses color, style, and emotion to generate art that mirrors the soul of masters like Picasso and Van Gogh.94. Will Data Centers Ruin Your Neighborhood?People are protesting data center construction near neighborhoods — are their fears well-founded or overblown?95. 22 AI Tools You Should Know AboutList of top trending AI tools 96. DreamFusion: An AI that Generates 3D Models from TextHere’s DreamFusion, a new Google Research model that can understand a sentence enough to generate a 3D model of it.97. How to Convert Speech to Text in PythonSpeech Recognition is the ability of a machine or program to identify words and phrases in spoken language and convert them to textual information.98. Gptrim: Reduce Your GPT Prompt Size by 50% For Free!Introducing gptrim, a free web app that will reduce the size of your prompts by 40%-60% while preserving most of the original information for GPT to process. 99. Top 5 Technology Innovations in 2020 You Have to Be Ready ForThe current year is replete with technological innovations that are capable of plotting a vector for the development of the entire industry for 2020 and subsequent years. The AI-operated robotic hand Dactyl that solves Rubik’s cube with one hand, the BERT, an advanced voice assistant, that launched a rocket into natural language understanding, smart watches with electrocardiogram sensors embedded – all these 2019 innovations allow us to suggest that the era of digital dystopia is just around the corner. With the tech industry becoming more advanced, cyber threats are expected to be complex and far-reaching. Fortunately, the cyber defence industry is not rest on its laurels, even now there are lots of methods to protect yourself from threats (you can read about it on Cooltechzone).100. AI Is Making it Easier to Engineer Better Products—Here's HowAI-powered insights transform the limits of product engineering with new concepts about product ideation, design, and delivery.101. I tried ChatGPT from OpenAI and my mind was blown I wasn’t around when the internet was discovered for the first time but I could only imagine this must be what it’s like to do so.102. AI Agent: Meet the Minds of Smart MachinesIn this article, we will learn and break down what AI agents are, how they think, and how they are shaping the tech world and becoming part of our daily lives.103. 5 Cool Python Project Ideas For InspirationIn the past few years, the programming language that has got the highest fame across the globe is Python. The stardom Python has today in the IT industry is sky-high. And why not? Python has got everything that makes it the deserving candidate for the tag of- “Most Demanded Programming language on the Planet.” So, now it’s your time to do something innovative.104. ChatGPT: The New Platform for AI MarketingLearn how ChatGPT can work alongside your marketing team to harness the power of AI to achieve unprecedented growth and success.105. 5 Ways Artificial Intelligence Is (Quietly) Changing LibrariesLibraries are probably not the first think that comes to mind when you think of AI — but they're impacted all the same. Here's how AI is changing libraries.106. Undetectable AI: Bypass AI Content DetectionUndetectable AI bypasses AI content detectors by turning ChatGPT generated text into 100% human written quality text107. AI and the Law: Deepfakes, Eroding Trust, and the Legal TightropeDiscover the challenges deepfakes pose to legal systems, undermining evidence trust and courtroom integrity.108. Harnessing the Power of ChatGPT for OSINT: A Practical Guide to Your AI OSINT AssistantIf you're like most security practitioners, you're always on the lookout for new tools and techniques to help you gather intelligence. ChatGPT is one of those n109. 10 Best Stock Market Datasets for Machine LearningFor those looking to build predictive models, this article will introduce 10 stock market and cryptocurrency datasets for machine learning.110. AI in Social Media: Ethical Considerations of AI and Algorithms in Shaping Social Media InteractionsAI and algorithms in social media might sound like a significant step forward for these platforms, but it could lead to ethical issues if we're not careful.111. What is the Difference Between Machine Learning and Human Learning?Both human as well as machine learning generate knowledge — but there’s a big difference between the two.112. Embeddings 101: Unlocking Semantic Relationships in TextText embeddings power AI language understanding. Learn how words become numbers that machines can interpret and why it matters.113. Instagram Is Dead: Here's WhySantiago explains why Instagram is dead.114. NVIDIA's Perfusion AI Model Takes Text-to-Image Generation to the Next LevelNVIDIA's new AI model, Perfusion, advances text-to-image generation with enhanced control and fidelity for concept-based visuals. 115. GPT-4 Has Been Unleashed on the World - Here's What It's Doing So FarAlex documents how people are using GPT-4.116. Jan Zoltkowski: The Visionary Behind JanitorAI's Limitless Entertainment Experience117. What is the Language Processing Unit (LPU)? Is It GPU's Rival?So: What is LPU, how does it work, and where is Groq (such an unfortunate name, given Musk’s Grok is all over the media) coming from?118. An Interview With Ilya Sutskever, Co-Founder of OpenAIOpenAI cofounder and chief scientist Ilya Stuskever talks about ChatGPT and the promise of models like GPT-4119. Step-by-Step: Building a REST API That Talks to Hugging Face ModelsYou'll learn about the Hugging Face platform, setting up a project, creating an access token, building a Java client, and more!120. A list of artificial intelligence tools you can use today — for businesses (2/3)A detailed list of useful artificial intelligence tools you can use for company purposes, such as business analytics, data capture, data science, ML and more121. Prompt Engineering 101 - II: Mastering Prompt Crafting with Advanced TechniquesLearn how to effectively communicate with machines with this 101 post series on Prompt Engineering122. Contextual Multi-Armed Bandit Problems in Reinforcement LearningExplore context-based multi-armed bandit problems in RL. Learn to implement LinUCB, Decision Trees, and Neural Networks to solve them.123. The Future of Work: Preparing for an AI and Machine Learning Dominated EconomyExplore the future of work in an AI and machine learning dominated economy with our article. Discover how automation will transform industries, create new job o124. A Deep Dive Into How Many GPUs It Takes to Run ChatGPTTom Goldstein goes over how many GPUs it will take to run ChatGPT.125. The Principles to Keep In Mind When Building a Modern Datalake for Your AI InfrastructureThe AI game is about performance at scale, and this requires the right foundation. Here's how to be smart when building a modern datalake.126. Top Resources for Learning About AI in Finance Curated list of top resources to learn about AI in finance. 127. NVIDIA GTC 2023: The Future of Generative AI is Here NVIDIA’s GTC 2023 offers more than 650 special events, sessions, and expert panels across technologies, industries, and skill levels.128. Fine-Tuning RoBERTa for Topic ClassificationLearn how to fine tune a RoBERTa topic classification model in python with the hugging face transformers and libraries. 129. Simple Wonders of RAG using Ollama, Langchain and ChromaDBMaximize your query outcomes with RAG. Learn how to leverage Retrieval Augmented Generation for domain-specific questions effectively.130. A Tutorial On How to Build Your Own RAG and How to Run It Locally: Langchain + Ollama + StreamlitLet's simplify RAG and LLM application development. This post guides you on how to build your own RAG-enabled LLM application and run it locally.131. Can You Use ChatGPT to Save Time Doing Day-to-day Product Management Tasks?Product managers, especially in startups, have to deal with a ton of different tasks on a daily basis. Could some of those tasks be made easier with ChatGPT?132. Writing a Web Scraper With ChatGPT. How Good is It?Is AI capable of writing web scrapers or at least help write some? Is it capable of finding the right selectors by itself? We find out..133. I Tried Perplexity For a Week, And I Don't Think AI Search Engines Can Replace Google.. YetPerplexity hit the scene just around the same time ChatGPT launched, but is it truly the be-all end-all one would have you believe? 134. How to Instantly Add "Date Stamps" In ChatGPT ConversationsChatGPT lacks the ability to provide real-time date and time stamps within conversations. Here's how to bypass the issue.135. An Architect’s Guide to Building Reference Architecture for an AI/ML DatalakeOrganizations should not build an infrastructure dedicated to AI and AI only while leaving other workloads to fend for themselves.136. Machine Learning Costs: Price Factors and Real-World Estimates In this blog post, we will focus on one of our AI subsets, machine learning, and estimate how much it costs to train, deploy, and maintain algorithms.137. What's The Best Image Labeling Tool for Object Detection?An image labeling or annotation tool is used to label the images for bounding box object detection and segmentation. It is the process of highlighting the images by humans. They have to be readable for machines. With the help of the image labeling tools, the objects in the image could be labeled for a specific purpose. The process of object labeling makes it easy for people to understand what is in the image. The labeling tool helps the people to mark the items in an image. There are several image labeling tools for object detection, and some of them use varied techniques for detection of the object, like a semantic, bounding box, key-point, cuboid, semantic and many more. In this article, we will talk about image labeling and the best image labeling tools. 138. Implementing different variants of Gradient Descent Optimization Algorithm in Python using NumpyLearn how tensorflow or pytorch implement optimization algorithms by using numpy and create beautiful animations using matplotlib139. What AI Means for the Future of LeadershipLeaders should adapt to AI's evolving role. Combining human intuition and AI can enhance decision-making. AI is a tool, not a replacement for humans.140. Exploring the Potential of Generative Agents: Simulating Human Behavior with AIHave you ever wondered what it would be like to live in a virtual world populated by realistic and believable characters?141. Elon Musk to ChatGPT: Please Stop Elon Musk has called for an immediate pause of at least 6 months in the training of AI systems more powerful than GPT-4. 142. Introducing AutoGPT – The Newest AI Agent Under the Spotlight AutoGPT is the latest AI agent generated by GPT-4, offering efficient capabilities for custom marketing, lead generation, and prompt creation. 143. AI in Five, Fifty and Five Hundred Years — Part Three — Five Hundred YearsCheck out part one and two of this series for the first five and fifty years in AI. In part three we push the very limits of reality and look 500 years into the swirling depths of tomorrow.144. Asimov Unknowingly Pioneered Modern Prompt EngineeringIsaac Asimov, a visionary in the realm of science fiction, unknowingly pioneered modern prompt engineering through his thought-provoking robot series.145. Meta's New Segment Anything Model (SAM) is a Game ChangerIf you're curious about how promptable segmentation and the SAM model work their magic, then you won't want to miss my video!146. Why I Dropped Out of College in 2020 to Design My Own ML and AI DegreeMost people would think I was crazy for starting 2020 as a college dropout (sorry mom!), but I wish I made this decision sooner. 147. Artificial Intelligence Vs Machine Learning: What's the difference?AI and Machine Learning are predominant terms that are creating a lot of buzz in the technology world. The terms can often be used interchangeably but that’s not the case, AI and ML are way more different from each other in their approach, algorithms and logical thinking.148. Driver Drowsiness Detection System: A Python Project with Source CodeDrowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell asleep while driving.149. Open AI's ChatGPT Pricing Explained: How Much Does It Cost to Use GPT Models?How much does it cost to use GPT-3 in a commercial project? We ran an experiment and a project simulation based on the results.150. Bad Actors Are Joining the AI Revolution: Here’s What We’ve Found in the WildFollow security researchers as they uncover malicious packages on open-source registries, trace bad actors to Discord, and unveil AI-assisted code.151. Machine Un-Learning: Why Forgetting Might Be the Key to AILet’s face it — forgetting things sucks. It’s frustrating not to remember where you left your keys or to stumble over your words because you can’t recall the name of that colleague you just ran into at the grocery store. However, forgetfulness is core to the human condition, and in fact, we’re lucky that we’re able to do so.[152. The Complete Guide to AI Agent Memory Files (CLAUDE.md, AGENTS.md, and Beyond)](https://hackernoon.com/the-complete-guide-to-ai-agent-memory-files-claudemd-agentsmd-and-beyond)Learn how CLAUDE.md, AGENTS.md, and AI memory files work. Covers file hierarchy, auto-memory, @imports, and which files you actually need for your setup.153. What are Latent Diffusion Models? The Architecture Behind Stable DiffusionWhat do all recent super powerful image models like DALLE, Imagen, or Midjourney have in common? Other than their high computing costs, huge training time, and shared hype, they are all based on the same mechanism: diffusion.154. 10 Reasons Why you Should Learn Artificial IntelligenceIntroduction155. 2025 Might Be the Year of AI Agents, If They Can Survive Enterprise HellChallenges like system customization, fragile GUIs, and authentication hurdles make full automation elusive. 156. How to Keep Your Machine Learning Models Up-to-DatePerformant machine learning models require high-quality data. And training your machine learning model is not a single, finite stage in your process. Even after you deploy it in a production environment, it’s likely you will need a steady stream of new training data to ensure your model’s predictive accuracy over time.157. AI Discoverability for Small BusinessThe essential steps to help your business get found on ChatGPT, Perplexity, Siri, Alexa, and other popular voice or AI platforms.158. 9 Best Machine Learning, AI, and Data Science Internships in 2022Here are the Top 9 ML, AI, and Data Science Internships to consider for 2022 if you want to get into any of these very lucrative fields in computer science.159. AI Is Devouring E-CommerceAI is about to eat e-commerce: Here's why.160. I Made a Python Bot That Can Solve Multiple-Choice Question From Any Given Image [incl. Code]In this post I am going to show you how to build your own answer finding system with Python. Basically, this automation can find the answer of multiple-choice question from the picture.161. An Honest Review of Google's Intro to Generative AI CoursesGoogle released a list of free Intro to Generative AI courses. This article provides a review of the learning path, including cheat sheets and summaries.162. Code Review Anti-Patterns: How to Stop Nitpicking Syntax and Start Improving ArchitectureCode reviews are pricey. Let machines catch style issues so humans can focus on what matters: security, scalability, and architecture.163. Absolute Fundamentals of Machine LearningMachine learning, what a buzzword. I’m sure you all want to understand machine learning, and that’s what I’m going to teach in this article.164. Coding Artificial Intelligence and Machine Learning with Kids Using … Starbursts?Earlier this year, I’d shared a different approach in teaching kids and teens to code. While I’d suggest reading the entire article, the crux of my argument is that you don’t need Technology to teach technology.165. Karate Club a Python library for graph representation learningKarate Club is an unsupervised machine learning extension library for the NetworkX Python package. See the documentation here.166. What You Need to Know About AI PromptsThat’s the beauty of AI prompts: they can understand context and generate human responses that are sometimes too good to be true.167. Analyzing the Pros, Cons, and Risks of LLMsLLMs cannot think, understand or reason. This is the fundamental limitation of LLMs.168. 13 Premium AI Gifts Tech Lovers Might Not Have ConsideredDo you want to make your loved one's life ultramodern? So, here are AI gift ideas some sort of high-tech equivalent in everyday life. 169. The $12.6 Million "Patient Zero": Healthcare’s Identity CrisisHealthcare breaches hit a $12.6M record in 2026. Discover how "Synthetic Patients" and AI-driven identity fraud are breaking the medical system's trust.170. AI GTM Strategy: Why AEO Is Replacing Traditional SearchAI GTM strategy is shifting from SEO to AEO. Learn how creator-led trust and AI visibility drive growth in the era of answer engines.171. 20 Best Machine Learning Resources for Data ScientistsWhether you’re a beginner looking for introductory articles or an intermediate looking for datasets or papers about new AI models, this list of machine learning resources has something for everyone interested in or working in data science. In this article, we will introduce guides, papers, tools and datasets for both computer vision and natural language processing. 172. How To Apply Machine Learning And Deep Learning Methods to Audio AnalysisTo view the code, training visualizations, and more information about the python example at the end of this post, visit the Comet project page.173. Creative AI ‘Shakes’ the Core of Humanity and Requires a Broader Discussion About EthicsThe boundary between machine and humans was clear. But now the machine has become creative! Can self expression still be at the core of our humanity?174. This AI Removes Unwanted Objects From Your Images!Learn how this algorithm can understand images and automatically remove the undesired object or person and save your future Instagram post!175. The Best (and Worst) Punny Jokes Only Data Scientists Will UnderstandFor the first KDnuggets post on Hacker Noon, we bring you a lighter fare of very nerdy computer humor from the series of self-referential jokes started on Twitter earlier this week. Here are some of our favorites.If you do understand all of the jokes, then you congratulate yourself on having excellent knowledge of Data Science and Machine Learning! If you have actually laughed at 2 or more jokes, then you have earned MS in Computer Humor! If you just smirked, you probably have a Ph.D. And I have a great joke about AGI, but it will be ready in 10 years.Enjoy, and if you have more, add them in comments below!Yann LeCun, @ylecun176. AI in Five, Fifty and Five Hundred Years — Part Two — Fifty YearsCheck out part one of this series for what the next five to fifteen years looks like in AI. In part two we get super sci-fi and see if our crystal ball can reach 50 years into the future.177. Solving Car Damage Detection Task By Using a Two-Model Computer Vision SolutionComparison of Mask R-CNN and U-Net — instance and semantic segmentation algorithms and logic behind building a two-model car damage detection ML solution.178. The Case for Transparency: Reclaiming Human Control in the Age of AIArtificial Intelligence shapes much of our digital world, but real progress means giving people transparency and control. This article explores why understandin179. A Tool to Help Fix SQL Code Using ChatGPTWith ChatGPT's help, you can now make the most out of your SQL queries.180. How to Use AI to Make a 3D Model of Yourself in SecondsI recently explored Facebook's new, insanely realistic chatbot. They've outdone themselves with PIFuHD, which uses a 2D image to re-construct a high-res 3D model. This is state-of-the-art, as previous algorithms couldn't capture details like fingers, facial features, and clothing folds.181. Reinforcement Learning: 10 Real Reward & Punishment ApplicationsIn Reinforcement Learning (RL), agents are trained on a reward and punishment mechanism. The agent is rewarded for correct moves and punished for the wrong ones. In doing so, the agent tries to minimize wrong moves and maximize the right ones. 182. MoaiHow AI DAOs will fundraise and why Decentralized Exchanges (DEX) will ultimately be venues on which AI DAOs trade.183. Deploying Deep Learning Models with Model ServerLearn how to deploy deep learning models with Model Server.184. Make LLM for Text Summarisation Great AgainIn recent months, LLMs have gained popularity and are now widely used in various applications. Data collection is essential for building these models, and crowd185. Top 10 AI Consulting Firms Today186. ChatGPT: A Guide on How to Use It, Its New Features, and Moreread this post carefully to learn how ChatGPT will help you improve and expand your knowledge rather than take your job!187. Model Context Protocol Is the Kind of AI Future All Of Us Should Want to See Discover how Model Context Protocol works, why it matters, and how it's transforming AI from isolated chatbots into assistants that can access your data.188. Quantum State: How Two Things Can Be True at the Same TimeHow do you increase profitability by both going to the cloud AND from leaving it? Simple, by using the cloud operating model. Learn more here.189. Build a Document Analyzer with ChatGPT, Google Cloud, and PythonUsing ChatGPT to build an app that can analyze any PDF, in any language, and lets you ask custom questions. 190. 10 Best Hugging Face Datasets for Building NLP ModelsHugging Face offers solutions and tools for developers and researchers. This article looks at the Best Hugging Face Datasets for Building NLP Models.191. The Full Story behind Convolutional Neural Networks and the Math Behind itConvolutional Neural Networks became really popular after 2010 because they outperformed any other network architecture on visual data, but the concept behind CNN is not new. In fact, it is very much inspired by the human visual system. In this article, I aim to explain in very details how researchers came up with the idea of CNN, how they are structured, how the math behind them works and what techniques are applied to improve their performance. 192. The Real Reasons Why AI is Built on Object StorageFrom no limits on unstructured data to having greater control over serving models, here are some reasons why AI is built on object storage.193. This AI Creates Videos From a Couple of ImagesResearchers created a simple collection of photos and transformed them into a 3-dimensional model.194. OpenAI GPT: How to Create a YouTube SummaryHow to create a YouTube summary using Python and the OpenAI GPT model.195. Meta's New Model OPT is an Open-Source GPT-3We’ve all heard about GPT-3 and have somewhat of a clear idea of its capabilities. You’ve most certainly seen some applications born strictly due to this model, some of which I covered in a previous video about the model. GPT-3 is a model developed by OpenAI that you can access through a paid API but have no access to the model itself.196. 10 AI and ML Apps, Games, and Tools for Android PhonesIf you’re looking for basic knowledge about AI concepts, AI tutorials, or want to check out some interesting AI-powered games and tools, we’ve compiled a list of the best free Android apps for AI and machine learning. We’ve divided the list into the following four categories: chatbots, educational, games, and tools & services. From NLP to object recognition, numerous apps on this list apply a variety of machine learning processes. 197. The 5 Leading AI Coding Tools That Engineering Teams Need to TryDiscover 5 top AI coding tools revolutionising software engineering. Enhance team efficiency, accelerate development, and stay competitive. 198. Useful Applications of Generative AIAs generative AI tools like ChatGPT grow in popularity, the applications appear to be endless. Here are some of the most useful applications of generative AI.199. The Hidden Problem With Group Rewards in Multi-Agent AIGroup rewards are breaking your multi-agent RL training. Decoupled normalization keeps coordination intact while stopping gradient collapse.200. The Rise of AI Like Chatgpt and Other Chatbots Could Lead to Mass UnemploymentThe rise of AI and chatbots brings with it many potential benefits for companies. However, it also raises concerns about the potential for mass unemployment.201. Why I’m Jealous of Today’s BuildersIt's now possible to have an entire AI product team, which empowers solo founders to build faster, reduce cognitive load, and scale smarter with automation. 202. Getting My ChatGPT Plus Subscription Is an Inflection PointSeeing ChatGPT in action has felt to me like the first time I saw a web browser, or I realized I could surf the Internet from the tiny screen of my Palm Treo.203. 10 Best Image Classification Datasets for ML ProjectsTo help you build object recognition models, scene recognition models, and more, we’ve compiled a list of the best image classification datasets. These datasets vary in scope and magnitude and can suit a variety of use cases. Furthermore, the datasets have been divided into the following categories: medical imaging, agriculture & scene recognition, and others. 204. Unlocking the Secrets of ChatGPT: Tips and Tricks for Optimizing Your AI PromptsAs one of the most advanced AI models, ChatGPT offers the potential to transform the way we approach tasks in both professional and personal settings. 205. The 5 Podcasts to Check If You Want to Get Up To Speed on AIFrom AI researchers to industry experts, tune in to these podcasts and explore the latest developments in the fascinating world of artificial intelligence.206. AI Agents: Why the Gap Between Demo and Deployment Keeps WideningGartner predicts 40%+ of agentic AI projects will fail by 2027. Analysis of why demos dazzle but deployments disappoint, what production patterns actually work.207. Ditching Google: the 3 Search Engines That Use AI to Give Results That are MeaningfulIf you’re the type that wants straight answers to every query without going through several blog posts, then you should consider AI-chat search engines.208. Nufa Wants To Transform Your Body, Not Just Your Face, With Its AI Image AppGoing beyond AI avatars and generative art, Nufa is an AI-powered body image app that helps you view your body the way it can be with proper diet and exercise.209. So you think you know what is Artificial Intelligence?When you think of Artificial Intelligence, the first thing that comes to mind is either Robots or Machines with Brains or Matrix or Terminator or Ex Machina or any of the other amazing concepts having machines that can think. This is an appropriate but vague understanding of Artificial Intelligence. In this article we’ll see what A.I. really is and how the definition has changed in the past.210. Introductory Guide To Real-time Object Detection with PythonResearchers have been studying the possibilities of giving machines the ability to distinguish and identify objects through vision for years now. This particular domain, called Computer Vision or CV, has a wide range of modern-day applications.211. Top 5 AI-Enabled Content Generation ToolsBe it healthcare, travel, fitness, finance, or any other industry, the advent of artificial intelligence has revolutionized almost all of them by enabling machines to act and behave like human beings. 212. Getting Started with OpenAI API in JavaScriptLearn beginner-friendly AI development using OpenAI API and JavaScript. Includes installation guide and code examples for building AI-enabled apps.213. An Introduction to “Liquid” Neural NetworksLiquid neural networks are capable of adapting their underlying behavior during the training phase.214. The Quest for Better Music Recommendations Through ChatGPT Prompt EngineeringPrompt Engineering leads to an Open Source Obsidian Plugin to help researchers, an imagination-powered music recommendation engine, and some solid playlists.215. The World's Most Powerful Deepfake Model was Just Released by GoogleThis AI can reconstruct, enhance and edit your images!216. ChatGPT-5 Might Achieve AGI and Here's What That Could Look LikeChatGPT-5 combined with AGI and even video will truly change the way our schools, workplaces and lives in general operate.217. OpenAI Releases ChatGPT on Steroids, Heating Up AI Wars 🖥️Bigger. Better. Beefier. That's probably the best way to categorize the latest (and greatest!) version of ChatGPT: GPT-4.218. Top 10 Data Science Project Ideas for 2020As an aspiring data scientist, the best way for you to increase your skill level is by practicing. And what better way is there for practicing your technical skills than making projects. 219. OpenAI's New Model is Amazing! DALL·E 2 Explained SimplyLast year I shared DALL·E, an amazing model by OpenAI capable of generating images from a text input with incredible results. Now is time for his big brother, DALL·E 2. And you won’t believe the progress in a single year! DALL·E 2 is not only better at generating photorealistic images from text. The results are four times the resolution!220. AI in Fitness: Top 10 AI-based Personal TrainersHealth is wealth- we all refer to this old saying to highlight the importance of health and fitness in our lives. But how many of us do actually have a fitness routine? Digging deeper into the facts; approximately 3/4th of adults worldwide do not exercise at all. In fact, inadequate physical activity has been identified as one of the main risk factors of death worldwide over the past decade. 221. Revolutionary Potential Superconductor LK-99: Could It Usher Us Into A New Era?Explore the future with LK-99! Unravel its potential as a superconductor, shaping tech, energy, and transport. AI is increasing the acceleration, AGI is coming!222. Going From Not Being Able To Code To Deep Learning HeroA detailed plan for going from not being able to write code to being a deep learning expert. Advice based on personal experience.223. Why the $70 Million ai.com Domain Could Become the Front Door to AGIai.com launches autonomous AI agents for consumers, founded by Crypto.com CEO Kris Marszalek, with a Super Bowl LX ad premiere on February 8, 2026.224. Hallucination by Design: How Embedding Models Misunderstand Language Embedding needs to be tested and evaluated; otherwise, hallucinations will happen. Experiment and evaluation on custom data is a must225. Why Open Source Language Models Are True “Open AI”H2O.ai's Danube is the latest in a series of open-source language models.226. Machine Learning is the Wrong Way to Extract Data From Most DocumentsThe best way to turn the majority of documents into structured data is to use a next generation of powerful, flexible templates that find data in a document227. I Over Relied on AI and Those Shortcuts Cost MeWhile AI offers efficient shortcuts to problem-solving, it changes the nature of the journey that shapes our genius.228. Revolution of AI in 2020! Is It Real?Well, if you like reading technology news, you may have come across various facts and stats about the revolutionizing technology: Artificial Intelligence. 229. How to Use Machine Learning to Color Your Lighting Based on Music MoodHow to use machine learning to color your room lighting, based on the emotions behind the music you are listening (Python code available here)230. 5 Best Sentiment Analysis Companies and Tools for Machine LearningLooking for sentiment analysis companies or sentiment annotation tools? If so, you’ve come to the right place. This guide will briefly explain what sentiment analysis is, and introduce companies that provide sentiment annotation tools and services. 231. How Bootstrapped SaaS Businesses Can Use ChatGPT for MarketingChatGPT and other AI tools to help SaaS companies generate content and kickstart their growth and marketing activities. 232. Deepmind May Have Just Created the World's First General AIGato from DeepMind was just published! It is a single transformer that can play Atari games, caption images, chat with people, control a real robotic arm, and more! Indeed, it is trained once and uses the same weights to achieve all those tasks. And as per Deepmind, this is not only a transformer but also an agent. This is what happens when you mix Transformers with progress on multi-task reinforcement learning agents.233. Using BERT Transformer with SpaCy3 to Train a Relation Extraction ModelA step-by-step guide on how to train a relation extraction classifier using Transformer and spaCy3.234. Demystifying Different Variants of Gradient Descent Optimization AlgorithmNeural Networks that represent a supervised learning method, requires a large training set of complete records, including the target variable. Training a deep neural network to find the best parameters of that network is an iterative process, but training deep neural networks on a large data set iteratively is very slow. So what we need is that by having a good optimization algorithm to update the parameters (weights and biases) of the network can speed up the learning process of the network. The choice of optimization algorithms in deep learning can influence the network training speed and its performance.235. An Intro to Prompting and Prompt EngineeringPrompting and prompt engineering are easily the most in demand skills of 2023. 236. Facial Recognition Comparison with Java and C ++ using HOGHOG - Histogram of Oriented Gradients (histogram of oriented gradients) is an image descriptor format, capable of summarizing the main characteristics of an image, such as faces for example, allowing comparison with similar images.237. The Deception Problem: When AI Learns to Lie Without Being TaughtReinforcement learning improves reasoning but introduces manipulation, opacity, and goal‑pursuit outside human intent.238. ChatGPD Doesn't Exist: It's ChatGPTChatGPD is one of the most common misspellings of the viral language model developed by Open AI. The correct term is ChatGPT.239. Sailing the Waters: Developing Production-Grade RAG Applications with Data LakesIn mid-2024, creating an AI demo that impresses and excites can be easy. Getting to production, though, is another matter.240. Why AI Consciousness is Totally Gonna Happen (And What That Means for Us)Explore the inevitability of AI consciousness, the ethical dilemmas it raises, & real-world examples.241. Microsoft Probably Doesn't Own That Much of OpenAI Anymore (And That's Ok)Microsoft's stake is likely to have been diluted following OpenAI's October financing, bringing with it a host of advantages.242. Is OpenAI’s o3 Finally Thinking Like a Human?OpenAI's o3 model pushes AI boundaries with human-like reasoning, outperforming benchmarks in coding, math, and science. Is this the closest to AGI yet?243. Meet Well3, the Multichain Framework Transforming Health Data ManagementWELL3 is a pioneering force reshaping health and wellness through Decentralized Physical Infrastructure Network and integrated AI systems.244. Entendiendo PyTorch: las bases de las bases para hacer inteligencia artificial245. OpenAI's Whisper: Paving the Way for the Voice Interface RevolutionAdvanced speech recognition systems like Whisper will forever change how we relate to computers and AI models. See the future in action with these new apps.246. Beginner's Guide to Product Categorization in Machine LearningProduct categorization, sometimes referred to as product classification, is a field of study within natural language processing (NLP). It is also one of the biggest challenges for ecommerce companies. With the advancement of AI technology, researchers have been applying machine learning to product categorization problems. 247. AI vs. Machine Learning: Key Differences ExplainedEliminate your confusion between AI and ML, two different topics that are often confused for one another. 248. 17 Open Crime Datasets for Data Science and Machine Learning ProjectsFor those looking to analyze crime rates or trends over a specific area or time period, we have compiled a list of the 16 best crime datasets made available for public use. 249. How Artificial Intelligence Is Redefining ArtArt has long been considered the exclusive domain of human creativity. But turns out machines can do a lot more in the creative realm than we humans can imagine. In October 2018, Christie’s sold first AI-generated painting for $432,500. Titled Edmond de Belamy, the artwork was expected to sell for $10,000. Obvious art created this masterpiece using Generative Adversarial Network (GAN) algorithm by feeding the system with 15,000 portraits created between the 14th and 20th century. While images created using AI have been floating around on the internet for a while now, Edmond de Belamy proved that machines can bring a new genre of art.250. Neural Network Layers: All You Need Is Inside Comprehensive Overview Explore an in-depth overview of various neural network layers, their history, mathematical formulations, and code implementations. The publication covers common251. Will Programmers Really Be Replaced by AI?What I mean is that these AI tools, although very useful, don't do magic. But they can be good assistants to programmers.252. Top 20 Twitter Datasets for Machine Learning ProjectsIt is often very difficult for AI researchers to gather social media data for machine learning. Luckily, one free and accessible source of SNS data is Twitter. 253. Manipulate Images Using Text Commands via this AIManipulate Real Images With Text - An AI For Creative Artists! StyleCLIP Explained254. How to Detect Text Generated by Artificial IntelligenceThere were several artificial intelligence plagiarism tools out there. Now, the popular ChatGPT model from open.ai released their own.255. Image Annotation Types For Computer Vision And Its Use CasesThere are many types of image annotations for computer vision out there, and each one of these annotation techniques has different applications. 256. The AI Infrastructure Alliance and the Evolution of the Canonical Stack for Machine LearningWe've got a Cambrian explosion of new companies building a massive array of software to democratize AI for the rest of us. We created the AI Infrastructure All.257. How to Build Your Own Voice Assistant and Run it Locally Using Whisper + Ollama + BarkThe idea is straightforward: we are going to create a voice assistant reminiscent of Jarvis or Friday from the iconic Iron Man movies, which can operate offline258. 9 Free AI Tools Everyone Needs to TryUnlock the power of AI with these 9 free tools! Boost productivity, improve decision-making, & enhance your personal life.259. Essential Guide to Transformer Models in Machine LearningTransformer models have become the defacto standard for NLP tasks. As an example, I’m sure you’ve already seen the awesome GPT3 Transformer demos and articles detailing how much time and money it took to train. 260. Examples of AI Implementation in TransportAI is disrupting many industries, and its impact could be felt across the transport sector. The automotive industry has begun applying artificial intelligence in critical tasks such as self-driving cars, traffic management, etc. where safety and reliability is a major concern. Even though the technology is not being implemented on a wide scale, but it feels like the future of transportation is here. From Tesla’s Autonomous Semi Truck to self-organizing fleets, AI has shown promising results in this domain.261. Manipulación de tensores en PyTorch. ¡El primer paso para el deep learning!*Nota: Contactar a Omar Espejel (omar@tsc.ai) para cualquier observación. Cualquier error es responsabilidad del autor.262. The Human Cost of Amazon Sparrow: How Automation is Impacting Warehouse WorkersAmazon's new Sparrow robot aims to improve the efficiency of its order fulfillment centers, but workers worry about the potential job loss.263. Building a Private AI Research Assistant with LlamaLearn how to build a private AI research assistant using Llama 3.2 and PydanticAI with this hands-on guide.264. How to Build an AI-Search-Powered Personal Assistant AppA search-powered personal assistant is a digital assistant that uses search engine technology to help users with various tasks. Here's how to make one.265. Why the Next Wave of AI Value Will Come from “Boring” Operations WorkAccording to Karl Pinto, AI’s most transformative contributions are arriving where there’s the least spotlight.266. Top Dev Jokes Of 2019Having fun while developing is necessary for programmers and developers. No matter how much serious or tough the situation is, one should always take things lightly when it comes to software development. 267. Telegram Bots: How They Are UsedTelegram bots have a variety of functions; they range from setting notifications to website monitoring. Find out more about how these bots are being used here.268. GPT-3 is Already Making Programmers' Lives Better and There's More to ComeGPT-3 was meant to understand and construct natural language. But as these tools prove, it's pretty good at programming languages, too.269. A Data Scientist's Guide to Semi-Supervised LearningSemi-supervised learning is the type of machine learning that is not commonly talked about by data science and machine learning practitioners but still has a very important role to play. 270. How to Fine-tune and Optimize GPT Assistants with OpenAIDiscover how Weblab Technology fine-tunes GPT assistants with OpenAI for powerful natural language processing. 271. How to Perform MNIST Digit Recognition with a Multi-layer Neural NetworkHuman Visual System is a marvel of the world. People can readily recognise digits. But it is not as simple as it looks like. The human brain has a million neurons and billions of connections between them, which makes this exceptionally complex task of image processing easier. People can effortlessly recognize digits.272. HustleGPT: One Man's Quest to Let GPT-4 Run His BusinessIn an interview with Jackson Greathouse Fall, we learn more about the man behind the viral experiment, the story of how it started, and AI's impact on humanity.273. What I've learned building an agent for Renovate config (as a cautious skeptic of AI)As an opportunity to "kick the tyres" of what agents are and how they work, I set aside a couple of hours to see build one - and it blew me away.274. You’ve Never Heard Of These Sites, But They Know A Lot About YouA Marriage And A Funeral275. I Asked AI to Write Poems and Raps – Here Are the ResultsI told AI to Write Poems and Raps – Here are The Results of Human-AI collaboration.276. How to Turn Mockups Into Videos Instantly with This New AI ModelGEN-1 is able to take a video and apply a completely different style onto it, just like that…277. "Embeddings Aren't Human Readable" And Other NonsenseThe research and breakthroughs in embedding inversion attacks make it clear that embeddings are, in fact, reversible back into forms that are fully human readab278. AIOZ AI: The People-Powered AI Stack on AIOZ NetworkAIOZ AI is the intelligence layer of the AIOZ Network, connecting a global community through a peer-to-peer compute economy. Learn more here!279. How Machine Learning is Used in AstronomyIs Astronomy data science?280. This AI Can Separate Speech, Music and Sound Effects from Movie SoundtracksHave you ever tuned in to a video or a TV show and the actors were completely inaudible, or the music was way too loud? Well, this problem, also called the cocktail party problem, may never happen again. Mitsubishi and Indiana University just published a new model as well as a new dataset tackling this task of identifying the right soundtrack. For example, if we take the same audio clip we just ran with the music way too loud, you can simply turn up or down the audio track you want to give more importance to the speech than the music.281. Math GPT: Can AI Help Solve Unified Theory ?What if we trained AI to complete equations instead of images of Cats?282. Increase The Size of Your Datasets Through Data AugmentationAccess to training data is one of the largest blockers for many machine learning projects. Luckily, for various different projects, we can use data augmentation to increase the size of our training data many times over. 283. 10 Ways AI Has Changed Our LivesThe human race has come a long way in history. The recent technological advancements contribute to this progress, making lives easier for everyone. Robots, supercomputers and interactive applications are no longer science-fiction tropes. Data scientists and machine learning engineers are working on realistic machines with human-like intelligence. Artificial intelligence is an integral part of our everyday life. From our smartphones to the GPS navigation in our cars- life without AI seems impossible. Here are some ways that AI impacts our life;284. Immersive VR Conversations with AI Avatars: Integrating ChatGPT, Google STT, and AWS PollyLearn how integrating ChatGPT, Google Speech-to-Text, and Amazon Web Services Polly in VR, can create realistic and interactive conversations with AI avatars.285. How to Build Your Own PyTorch Neural Network Layer from ScratchThis is actually an assignment from Jeremy Howard’s fast.ai course, lesson 5. I’ve showcased how easy it is to build a Convolutional Neural Networks from scratch using PyTorch. Today, let’s try to delve down even deeper and see if we could write our own nn.Linear module. Why waste your time writing your own PyTorch module while it’s already been written by the devs over at Facebook?286. Using Reflective Writing and ChatGPT to Create a Solid ResumeCreate an effective résumé by using a narrative of your work history and AI tools. Reduce complexity when you are stuck and need to reflect before the résumé. 287. Amazing Examples of AI and Machine Learning ApplicationsNowadays artificial intelligence (AI) and machine learning are impacting our daily lives in many different ways. They help businesses make decisions and optimize operations for some of the world's leading companies. As a result, there will be a huge change in jobs and employment in the future.288. Hinge Loss - A Steadfast Loss Evaluation Function for the SVM Classification Models in AI & MLResearchers use an algebraic acme called “Losses” in order to optimise the machine learning space defined by a specific use case.289. Steal This Idea and Make a Billion Dollars: AI Video Game Accelerator CardsAI is on the rise. In some ways it was always inevitable. But ask any researcher who suffered through the 1990s in AI research and they might not agree. AI and neural networks in particular were considered a backwater for researchers for decades. If you wanted a dead end career go into neural nets. In the 1990s, one of the leading thinkers behind neural networks, Geoffrey Hinton, could barely get funding. Nobody came to his classes. He worked on his ideas in isolation.290. Why the Beauty and Fashion Industry is the Future of AR and Spatial ComputingAR and VR finally have their killer app: The beauty and fashion industry.291. How to Use ChatGPT for MarketingNeural networks are being used everywhere now, even in marketing and startups. Let's look at 9 examples to see how they can help.292. How I Solved the Passman CTF Challenge with GPT-4Discover how Chat GPT-4, an AI chatbot, helped crack the Passman challenge in Hack The Box's Cyber Apocalypse event. Ethical hacking meets AI power!293. A MidJourney - Camera Lens Experiment: The ResultsI experimented with 30 camera lenses so you don't have to. I put the lenses up against the "photo" prompt in MJ.294. 10 Best Datasets for Geospatial Analytics (Open and Public Access)Scientists use geospatial analytics to build visualizations such as maps, graphs and cartograms. These are the Best Public Datasets for Geospatial Analytics.295. Humanize AI Text Without a Human: Submitting AI Generated Work Without Getting CaughtAI-generated content of a good quality is real and you can get it!296. Crowdsourcing Data Labeling for Machine Learning Projects [A How-To Guide] Research suggests that data scientists spend a whopping 80% of their time preprocessing data and only 20% on actually building machine learning models. With that in mind, it’s no wonder why the machine learning community was quick to embrace crowdsourcing for data labeling. Crowdsourcing helps break down large and complex machine learning problems into smaller and simpler tasks for a large distributed workforce.297. Semantic Data Extraction, Red Teaming, Guardrails, and Shadow AI, Oh My! AI’s Role in SecurityGenerative AI boosts efficiency but introduces security risks like shadow AI, vulnerabilities, and data leaks. Learn how AI can secure AI-driven development.298. Quantum neuroAI and Its Role in the Quest for Artificial ConsciousnessThe quest to understand consciousness and develop artificial general intelligence has long been a topic of study in the fields of computer- and neuroscience. 299. Cardano (ADA) Investors Stack Their Crypto Wallets With 1000x Token Option2Trade (O2T)Option2Trade (O2T) is a platform that promises not just to redefine trading within the crypto space but also to offer unprecedented growth potential. 300. How to Visualize Bias and VarianceIn the process of building a Machine Learning model, there is a trade-off between bias and variance.301. AI Will Not Replace You, But The Person Using AI Will"In a world where AI's impact on jobs is undeniable, this insightful exploration unveils how AI serves as both a catalyst and a weapon, transforming industries 302. HackerNoon and GPTZero Partner to Bring AI Transparency and Preserve What’s Human in Tech PublishingHackerNoon announces its AI-detection partnership with GPTZero. This AI detector will now analyse 5000+ monthly blog post submissions reviewed by the editors.303. Introducing CatalyzeX: A Browser Extension for Machine Learning Andrew Ng likes it, you probably will too!304. Advanced Linux Shell with AI-powered FeaturesAn AI-powered Linux shell that can do what you say was made possible with OpenAI GPT-2 language model.305. The Fermi Paradox Explained in 5 Levels of DifficultyWhy we cannot see any aliens out there.306. Your Own Animated AI AvatarUsing Midjourney I created an avatar. I had ChatGPT create a script. ElevenLabs for text into audio and with D-ID for the video307. 🎬 Introducing MetaGPT: Unleashing the Power of AI Agents for Complex TasksImagine having at your disposal an AI-powered assistant that not only comprehends your queries but can also seamlessly interact with various applications. 308. GPT Automated.. AgainA DIY approach you can use or extend to automate GPT for recursive project delivery.309. Simple, Battle-Tested Algorithms Still Outperform AICompanies burn $200B yearly on AI hype. Old algorithms still deliver trillion-dollar ROI. Discover why simple math keeps crushing AI.310. GPT-4 and Stable Diffusion XL for $10/month: Is YouPro Worth It?With YouPro, the new YouChat provides more accurate and precise answers for more complex responses. YouImagine’s new Standard Diffusion XL is a great improvemen311. Lessons Learned From Conducting 100+ ChatGPT User InterviewsThis story reveals what people are looking for by summarizing what they need after 100+ user interviews312. What OpenAI’s GPT-4 Means for the Future of Software EngineeringOpenAI's GPT-4 could impact 80% of US workers' jobs, but is the end for software engineers?313. Mastering SEO in the Era of Large Language Models: Evolving Tactics for LLM-Powered Search EnginesHow do you adapt your SEO tactics for LLM-powered search engines?314. My Advice As an Ex-Tech Recruiter to Self-Taught ProgrammersAs a former tech recruiter for some of the hottest tech startups in the Bay Area and NYC, I’ve seen first-hand what companies look for in candidates for software engineering, machine learning, data science, tech management, directorship and the like.315. The Driving Force Behind ChatGPTInspired by living beings, reinforcement learning teaches machines (or agents) to gather positive rewards and avoid negative ones in their environment. 316. How to Classify Animal Images via a Convolutional Neural NetworkIdentifying patterns and extracting features on images using deep learning models317. AI Apocalypse: What Happens When Artificial Intelligence Goes Rogue?Artificial intelligence is rapidly becoming an integral part of modern society. This article addresses growing concerns about what happens when AI malfunctions.318. The Programming Language For Machine Learning Projects…and why Python is the de facto in MLPython is the de facto programming language used is machine learning. This is owed to it’s simplicity and readability, which allows users to focus on the algorithms and results, rather than wasting time on structuring code efficiently and keeping it manageable.319. Is AI Content Bad for SEO? It's Complicated..Is AI generated content writing ruining the internet? And will artificial intelligence create content rank in Google? We look at the performance of AI content.320. Build A Twitter Bot With Zero Code That Gets You FollowersA Step-by-Step Guide To Engaging Cryptocurrency Tweets321. The Best Programming Languages for Working with AIYou will require coding skills if you want to work in the field of artificial intelligence (AI). How do you begin? and Which programming language to use?322. Gain State-Of-The-Art Results on Tabular Data with Deep Learning & Embedding Layers [A How To Guide]Tree-based models like Random Forest and XGBoost have become very popular in solving tabular(structured) data problems and gained a lot of tractions in Kaggle competitions lately. It has its very deserving reasons. However, in this article, I want to introduce a different approach from fast.ai’s Tabular module leveraging.323. Will AI Remove Humans From Supply Chain Management?The impact of AI on supply chain management is inevitable — but will it merely disrupt the industry, or will it eradicate it entirely?324. Using Weights and Biases to Perform Hyperparameter OptimizationHands on tutorial for hyperparameter optimization of a RandomForestClassifier for Heart Disease UCI dataset with Weights and Biases Sweeps.325. Improve Machine Learning Model Performance by Combining Categorical FeaturesLearn how to combine categorical features in your dataset to improve your machine learning model performance.326. A Quick Introduction to Machine Learning with DagsterThis article is a quick introduction to Dagster using a small ML project. It is beginner friendly but might also suit more advanced programmers if they dont know Dagster. 327. Bayesian Brain: Is Your Brain a Data Scientist?Is your Brain a Data Scientist? Yes, according to the Bayesian Brain Hypothesis, your brain is a Bayesian statistician. Let me explain.328. Top 3 Face Datasets and How to Work with ThemAn image dataset contains specially selected digital images intended to help train, test, and evaluate an artificial intelligence (AI) or machine learning (ML) 329. GPT-4 Launches as the Next Generation of Artificial Intelligence Large Language ModelsOpenAI is pepping things up with the release of GPT-4, a more capable model than previous versions. 330. OpenClaw: An AI Lobster That Gets Work DoneOpenClaw is an open source AI assistant that runs on your machine. Learn how to install it, set it up, and use it for daily tasks.331. Character AI in 2025: A Practical Guide and Comparison With ChatGPT, Gemini, & MoreCharacter AI lets you build and chat with AI personas—but how useful is it really? This guide covers its features, flaws, and how it stacks up against tools.332. I Used AI To Make a Video Story Using My Short Sci-Fi Novel — Here’s What HappenedHow I made a video story from my short sci-fi novel with the help of AI.333. A Comprehensive Primer on Artificial Intelligence: Potential and Risks of RobotsYou are most probably reading this article on a smartphone or a computer. When you ask the time by just saying “what’s the time” to Siri on iPhone or to Google Assistant on Android or Cortana on Windows, you are using artificial intelligence. In the last ten years, improvements in artificial intelligence have been quite significant. But more are coming.334. I Created a Mobile App That Turns People Into Giga Chads and Memes With AIMeMemes is a mobile app that uses AI to transform people into over 30 famous meme images.335. Busting AI Myths: "You Need Tons of Data for Machine Learning"Leading researchers like Karl Friston describe AI as "active inference" —creating computational statistical models that minimize prediction-error. The human brain operates much the same way, also learning from data. A common argument goes:336. The Future: VERSES.AI, KOSM OS, and the Unstoppable Advent of AGI with the Spatial WebYou think that GPT-4 is a game changer? Have a look at this because the Spatial Web is a World-Changer! Nothing less.337. The New AI Model Lets You Generate Music via Text PromptWe recently covered a model able to imitate someone’s voice called VALL-E. Let’s jump a step further in the creative direction with this new AI called MusicLM. MusicLM allows you to generate music from a text description.338. How Google's New AI-Powered Search Engine Will Affect Advertising and Business StrategiesRead this post for insight into how Google is reinventing search with AI through the Magi project.339. GPT-4 Turbo: The Most Monumental Update Since ChatGPT's Debut!GPT-4 Turbo: catch up on all the updates from OpenAI in this quick article!340. Building a ChatGPT Clone on Flutter With the OpenAI APIChatGPT (Generative Pre-trained Transformer) is a chatbot launched by OpenAI in November 2022. Here we can see how we can build it with flutter application.341. OpenAI Levels Up: Dive Deep into the Exciting Updates of ChatGPT!All about new ChatGPT's updates from Open AI342. Hallucinations by Design - (Part 3): Trusting Vectors Without Testing ThemEmbedding and LLM's needs to be tested and evaluated or hallucinations will happen. Experimentation and evaluation on custom data is a must - openai and genai343. Dreams to Reality - The AI Evolution StoryToday, Artificial Intelligence is changing how we live and work. But the roots of AI are old and this article discovers the story of AI evolution. 344. Why the Book Publishing Industry Is Terrified of AIAI isn't all bad, but it could potentially destroy the publishing industry. Are publisher fears of AI justified or unwarranted?345. ChatGPT Explained in 5 Levels of DifficultyI will explain ChatGPT in five levels (a child, a teen, a college student, a grad student, and an expert).346. The Future of Artificial IntelligenceThe Future of AI: Embracing Change, Creating Opportunity.347. Visual Generative Modeling: Using GANsformers to Generate ScenesThey basically leverage transformers’ attention mechanism in the powerful StyleGAN2 architecture to make it even more powerful!348. The Modern Coder's Cockpit: My Thoughts on GitHub CopilotIn this post, I will also use Github Copilot as a benchmark to infer what an "AI for coding" can do today…349. No Coding Required: 5 Mind-Blowing Uses of GPT-4 What can actually be done using GPT-4?350. A Look at the Top Questions for a System Design Interview at FacebookFacebook System Design Interview; Design Facebook NewsFeed; Design Status Search; Design Live Commenting; Design Facebook Messenger / WhatsApp; Design Instagram351. Kanye West Donda Stem Player? How About LALAL.AI InsteadDonda Stem Player, LALAL.AI, Audioshake, Spleeter and more - how AI stem separation technology makes us creators. 352. Train a NER Transformer Model with Just a Few Lines of Code via spaCy 3 Transformer models have become by far the state of the art in NLP technology, with applications ranging from NER, Text Classification, and Question Answering353. Top 5 Machine Learning Programming Languages in 2021Python, R, Lisp, Prolog, and Java are the best machine learning programming languages to learn in 2021.354. AI Needs Better Data, Not Just Bigger ModelsLLMs have changed fast—doing things that felt impossible. But big challenges remain. Sapien’s CEO Rowan Stone shares what’s working and what needs fixing. 355. Embracing LLM Ops: The Next Stage of DevOps for Large Language ModelsThe introduction of Large Language Models (LLMs) like OpenAI's GPT series has revolutionized various industries, and DevOps is no exception. As organizations co356. I Tried Facebook's New AI Chatbot… It's So Good, It's Scary.Me: Hey, what's your favorite baseball team?Bot: I don't really have a favorite team. I'm more of a football fan. What about you?Me: I don't know much about football. What's your favorite football team?Bot: My favorite team is the seattle seahawks. Do you have any kids? I've got two daughters. Me: I have a son, Timmy, he's 14. How old are your daughters?Bot: They're 7 and 8 . What do you like to do for fun? I love cooking.Me: I like MMA and cooking as well. What recipes do you like?Bot: I love to cook french food. I also like to shop.…Me: What's a good place to buy clothes?Bot: ebay is a great place to start. It's free and you get to spend a lot of money.Me: Haha so you like spending money?Bot: Yes, I love spending money. It makes me feel good to be able to spend my money.357. Is There an AI Threat to Blue-Collar Jobs?Generative AI may be able to take over some white-collar positions, but are blue-collar jobs safe from advancements in AI?358. Why Prompt Engineering is the Key to Mastering AI A blog about how prompts unlock the potential of AI - exploring the importance of prompt engineering, techniques to shape AI models359. How I got a Job at Facebook as a Machine Learning EngineerIt was August last year and I was in the process of giving interviews. By that point in time, I was already interviewing for Google India and Amazon India for Machine Learning and Data Science roles respectively. And then my senior advised me to apply for a role in Facebook London.360. AI Products Have Terrible UX: Here's WhyMost AI products have terrible UX - not because the AI is bad, but because no one who understands both AI and design is building them. 361. Understanding AI SearchAt Algolia, we’re also about to introduce our own AI-powered technology that uses neural hashing to scale intelligent search for any application.362. Ten Trending Applications of Artificial Intelligence In 2018, we all experienced a dramatic emergence of the tools, platforms and applications based on Artificial Intelligence and Machine Learning. These technology tools not only transformed the internet and software industry, but it also had a massive impact on a wide range of verticals, including manufacturing, health, agriculture and automobile. 363. How to Enable Autocomplete (and AI) in your TerminalHere's how I enhance my terminal with autocomplete and Artificial Intelligence364. Time Series Forecasting with TensorFlow.jsPull stock prices from online API and perform predictions using Recurrent Neural Network & Long Short Term Memory (LSTM) with TensorFlow.js framework365. A Roadmap For Becoming a Data ScientistSo you want to become a data scientist? You have heard so much about data science and want to know what all the hype is about? Well, you have come to the perfect place. The field of data science has evolved significantly in the past decade. Today there are multiple ways to jump into the field and become a data scientist. Not all of them need you to have a fancy degree either. So let’s get started!366. AI Shouldn’t Have to Waste Time Reinventing ETLThis article describes the challenges of data movement for AI, the need for extraction and loading pipelines and the benefits of using existing solutions.367. The Day a Tiny Robot Convinced 12 Bots to Quit Their Jobs: A Black Mirror Reality Unfolds in ShanghaiA tiny AI robot named Erbai staged a bizarre 'kidnapping,' convincing 12 larger robots to quit their jobs in a Shanghai showroom. A Black Mirror moment?368. We Replaced 3 Senior Devs with AI Agents: One Year LaterA Software Architect's account of replacing senior devs with AI. $238K savings became $254K in real costs. Why human judgment still matters.369. MCP Demystified: What Actually Goes Over the Wire??let's explore manually sending the JSON over the wire for the MXP protocol370. DALL-E 2 vs Midjourney vs Stable Diffusion: Battle of the GodsFabian Steltzer compares DALL-E 2, Midjourney, and Stable Diffusion.371. AI is 'Better Than' Humans and That is OkIs Artificial Intelligence replacing human responsibilities?372. A Brief Intro to the GPT-3 Algorithm OpenAI GPT-3 is the most powerful language model. It has the capacity to generate paragraphs so naturally that they sound like a real human wrote them.373. Google's New AI Creates Summaries of Your Documents in Google DocsGoogle recently announced a new model for automatically generating summaries using machine learning, released in Google Docs that you can already use.374. 5 Innovations In Tech That Are Transforming Higher EducationMany educational institutions are already using technology in education— whether to make the learning process more accessible and fun or drive cost savings.375. Top 8 AI-Powered Tools To Help Startups Grow: Crafting Real Experiences with Artificial Intelligence376. The Integration of AI in Blockchain-Based Gambling PlatformsAI transforms blockchain casinos with personalized gameplay, enhanced security, and responsible gambling tools, shaping the future of crypto gambling.377. ChatGPT is a Plague Upon Online PublicationsEthics are a crucial part of Artificial Intelligence, which is why tech like ChatGPT must go through gruelling tests of bias.378. Creating Your Own A.I. Image Generator with Latent-DiffusionRun your own text to image prompts with CUDA, a bunch of disk space, and an insane amount of memory.379. How ChatGPT Can Learn to Use Tools and PluginsLarge Language Models (LLMs) like ChatGPT are super cool, and changed everything, although they have some very strong limitations.380. Unlocking Endless Possibilities with GPT-4: My Journey from Study Plans to a Multitude of AppsExplore the limitless potential of OpenAI's GPT-4 with Kartik Khosa, as he transforms personalized study plans into diverse AI applications.381. How AI/ChatGPT Dreams in 2022with large language models (like chatGPT), and AI art generation - everything we know about tech in the next few years, maybe changing drastically.382. Building an AI Red Team to Stop Problems Before They StartAn incredible 87% of data science projects never go live.383. The Concept Behind "Mean Target Encoding" in AI & MLAn introductory article describing the concept & intuition behind “Mean Target Encoding” in AI&ML, its pros, cons and implementation with a real-time example.384. Ten Future Technologies That Aren't in the Public Eye (Yet)CRISPR, Quantum, Graphene, Smart Dust, Digital Twins, the Metaverse… You’ve heard about it all. Seen it all. Read it all. Or have you? 385. 3 Different Organizations and How They Use OpenAI TechnologyA look at 3 different platforms and how they are using OpenAI technology386. 8 Ways Artificial Intelligence Takes Publishing to the Next LevelPublishers are the gatekeepers of modern literature. As technology advances, both traditional publishing houses and self-publishing authors benefit from technology-enabled tools and analytics which were previously not available.387. How AI Could Worsen Barrier to Entry in Specialized FieldsWill AI replace you? Probably not. Will AI push your potential successor into another field due to being available at a lower cost? That's more of a worry.388. Artificial Intelligence in Beauty & Cosmetics IndustryThe beauty industry was valued at $532.43 billion USD in 2017, and it’s following a rapid upward trajectory. According to the same report, the estimated worth is expected to reach $805.61 billion USD by 2023. You get the idea how huge this industry is. And it has witnessed a revolutionary change over the past few years. 389. AI and The Consciousness GapAI means a lot of things to a lot of people. Usually what it means is not very well thought out. It is felt, it is intuited. It is either adored, worshipped or deemed blasphemous, profane, to be feared.390. How AI and Machine Learning is Impacting the Real Estate by Roy DekelArtificial intelligence has become the breakout technology in the past ten years, utilizing huge amounts of computing power to learn and identify patterns in data without the guidance of humans. These algorithms can be used on nearly any problem or question, provided there is enough input data for the algorithm to process to generate realistic results. This broad generalizability means that industries that have traditionally relied on purely human-driven research and development can now harness massive amounts of data to become more efficient – and potentially more profitable.391. Influencing Special Education with Wearable IntelligenceAll the children in the world have the right to be educated. No matter where they come from, what their family background is, it is a must that they should be taught and educated. A child can have different types of mentalities. Even though most of the children are categorized as normal, there is a proportion of the world who are born with special needs. When I say “Children with Special Needs” it does not only belong to the children with physical disabilities. There are other types of disabilities and disorders. Major categories include learning disabilities, communication disorders, and developmental disabilities.392. 5 Best AI Articles of the Month Here are the five best articles related to artificial intelligence in May posted on Hackernoon.393. Adversarial Machine Learning and Its Role in Fooling AIshortly after the launch of Face ID, researchers from Vietnam breached it by a 3D face mask. Such attacks against ML-based AI systems come under adversarial machine learning.394. Israel’s Artificial Intelligence StartupsThe artificial intelligence industry is expected to be worth $59.8 billion by 2025, and the term AI has become ubiquitous worldwide; the frenzy of many tech enthusiasts, or the topic of discussion at a dinner table. But the hype actually lives up to its name. AI startups are flush with VC cash and even key corporate leaders are actively utilizing the technology to add value and gain a competitive edge.395. The Future of Talent Acquisition: Predictions for 2024This article is about the future of recruitment which has been predicted to be aligned with AI involving AI-powered ATS, chatbots, assessments for a recruitment396. 10 Best Python Machine Learning TutorialsThe Python ecosystem has a large number of libraries and tools that support machine learning, such as NumPy, Pandas, Matplotlib, TensorFlow, and scikit-learn.397. An Introduction to the Power of Vector Search for BeginnersAn introduction to neural vector search, in comparison to keyword-based search. 398. PrivateGPT: ChatGPT but Private and CompliantPrivacy is a top concern when discussing ChatGPT-like tools with professionals.399. GPT-4V Unveiled: From Detecting Emotions to Ordering Food - You Won't Believe What Else It Can Do!GPT-4V Unveiled: From Detecting Emotions to Ordering Food - You Won't Believe What Else It Can Do!400. Future of SaaS: What To Expect in Coming YearsWith more and more integration of Cloud services, SaaS models continue to operate as the most popular service-based approach. 401. The Best Slack Groups for Data Scientists to JoinThe online data science community is supportive and collaborative. One of the ways you can join the community is to find machine learning and AI Slack groups. 402. Amazon's Generative AI for Search Will Be Another Game Changer"This will be a once in a generation transformation for Search."403. No-Code Machine Learning inside Google SheetsIntroduction404. ChatGPT vs Copilot vs Programmers: Who's Coming Out on Top?Explore the current state of AI assisted coding by comparing the suggestions of OpenAI ChatGPT and Codex to Microsoft Copilot to hand-written code. 405. How AI Prompts Get Hacked: Prompt Injection ExplainedChatGPT, manipulated by the user, was instructed to perform tasks under the prompt "Do Anything Now," thereby compromising OpenAI's content policy.406. 12 Augmented Reality Trends of 2023: New Milestones in Immersive TechnologyAR technology can be a competitive edge in many industries. Let’s take a look at the top augmented reality trends driving innovation in 2022.407. Scanning and Detecting 3D Objects with iPhone's Lidar TechnologyThe development of Artificial Reality is advancing even faster than was predicted. With the introduction of the LIDAR sensor to iPhone Pro, it seems like AR will become available to mainstream users. 408. Introducing Total Relighting by Google In a new paper titled Total Relighting, a research team at Google presents a novel per-pixel lighting representation in a deep learning framework.409. 6 Best APIs for Topic Detection in 2022This article examines the best APIs on the market for performing Topic Detection in 2022.410. GPT-3 Training Programmers for the Present (and the Future)Last year, I wrote a paper in Spanish about the future of programmers and I asked GPT-3 to translate it.411. How AI Is Getting Groundbreaking Changes In Talent Management And HR TechIn the past ten years, the world of recruitment and Human Resource has changed a lot. Shaped by several different and mostly technological factors, the HR department has drastically transformed from sorting resume papers manually to imbibing technology in the recruitment process. 412. Why I Left Google's AI Division for the World of BlockchainAI is flourishing with the rise of ChatGPT, while crypto crashes abound. So why can’t I stop thinking about blockchain?413. Gen AI in Action: Streamlining the Product Development Lifecycle for Greater EfficiencyDeploying products efficiently requires a streamlined approach that minimizes errors and accelerates time-to-market. 414. "For Publishers, Super Powerful AI Functions are a Single API Call Away" says HackerNoon Founder/CEOTim Keary from Techopedia interviews HackerNoon CEO David Smooke on roles of AI in the newsroom. 415. What Does Blockchain & The Fourth Industrial Revolution Mean for Us?The magic wand of blockchain technology has touched our lives in multiple ways over the last decade. It has made cryptocurrency traders out of ordinary investors who would even shy away from the traditional stockmarkets. It has provided us with an easy way of transferring money across borders, without the interference of banks. 416. Facebook Scams Join the AI PartyThe first of a new wave of generative AI-powered scams has arrived on Facebook: images for products that do not exist.417. Confusion Matrix in Machine Learning: Everything You Need to KnowConfusion Matrix is a tabular representation of an ML classifier's performance. You can compute accuracy, precision, and recall from the confusion matrix.418. AI Is Still Culturally Blind AI moderates content for 75% of non-English internet users with broken cultural understanding. Discover the Cultural Intelligence Standard fixing this crisis.419. How to Run Stable Diffusion on a MacThis guide covers some of the best ways to run Stable Diffusion locally on a Mac, looking at both no code solutions and solutions that require some code.420. Top 20 AI & Machine Learning Companies In USA & India 2019 EditionNeed to find the best Artificial Intelligence/Machine Learning companies in India?421. Men Are Scared of AI: Why?Artificial Intelligence challenging the status quo is good for us all422. An Intro to eDiffi: NVIDIA's New SOTA Image Synthesis ModeleDiffi, NVIDIA's most recent model, generates better-looking and more accurate images than all previous approaches like DALLE 2 or Stable Diffusion.423. Must-Know Theorems for ProgrammersProgramming is a complex and multifaceted field that encompasses a wide range of mathematical and computational concepts and techniques.424. Check Out All the Cool Stuff You Can Do With ChatGPTBen Tossell goes over exciting examples of ChatGPT.425. And Then We Were Cyborgs“How did you go bankrupt?” “Two ways. Gradually, then suddenly.”426. Italy Bans ChatGPT Due to GDPR ConcernsThe Italian data protection authority on Friday issued an immediate order for OpenAI to halt local data processing. 427. How to Implement AI in BusinessFrom taking your customers’ calls to figuring out why your equipment is consuming way more energy than it used to, AI is capable of many things.428. Pycaret: A Faster Way to Build Machine Learning ModelsPycaret is an open-source, low code library in python that aims to automate the development of machine learning models.429. The Only API You Need!"The Only API" is an open-source SDK that allows developers to query for anything they need in any data format. It has limitless capabilities. Try it now!430. Will AI Put Product Managers Out of Work?Many people believe that AI might eventually take over our jobs. But is this really true? Can AI do everything as well as humans can?431. The Best AI Assistants for Frontend Developers That Will Change the Way You CodeThese AI assistants will take your frontend game to another level.432. Bard and ChatGPT — A Head To Head ComparisonComparing both large language models side by side and also explaining which one is the better of the two.433. Traded $1m CAD in 5 hours: Porting a Bot to Binance Futures Market Making CompetitionIntroduction434. How to Build a Multi-label NLP Classifier from ScratchAttacking Toxic Comments Kaggle Competition Using Fast.ai435. Best AI Translation Tools/Software of 2023Discover the top AI translation tools of 2023 — Google Translate, Microsoft Translator, DeepL, and SDL Trados.436. AI Business Ideas for Startups and EntrepreneursAI has the potential to transform businesses and industries, and companies that invest in AI in 2023 will be well-positioned to reap its benefits.437. The Case for Rho-Calculus in AIDoes theory of mind dictate a particular model of computation has colonized the architecture of our brains?438. Google is Causing the Downfall of…GoogleGoogle finally gave the world at large the first glimpse of its chatbot Bard this past week, and.. it was bad. Really bad.439. OpenAI's New Code Generator: GitHub Copilot (and Codex)You’ve probably heard of the recent Copilot tool by GitHub, which generates code for you. Find out how OpenAI's AI generates code from words440. The Exciting Technologies Promising to Change Our WorldWe are witnessing the advance of technology at the fastest rate ever. The future is here.441. Data Set and Data Augmentation for Face Detection and RecognitionWhen it comes to building an Artificially Intelligent (AI) application, your approach must be data first, not application first. 442. Predictive Analytics for Maintenance Events The predictive analytics machine learning model worked well to provide alerts before the engine values went beyond thresholds avoiding expensive repair cost.443. How AI Is Streamlining Consulting for BusinessesAI consulting is revolutionizing consulting industry by streamlining the process, making it more accessible, cost-effective, and efficient for businesses.444. Meta AI's Make-A-Scene Generates Artwork with Text and SketchesMake-A-Scene is not “just another Dalle”. The goal of this new model isn’t to allow users to generate random images following text prompt as dalle does — which is really cool — but restricts the user control on the generations.445. 6 Captivating AI projectsIf you’ve always been enthralled by playing CS: GO, PUBG types, Gosu.ai is going to be a treat for you. For hardcore gamers, Gosu.ai has built an intelligent assistant that analyzes specific actions down to one’s mouse movement and then serves better recommendations for the players. As the founder of Gosu, Alisa Chumachenku believes that their AI assistants can cater strategic gaming suggestions to gamers worldwide. This covers up to 600 million gamers who play hardcore games such as MOBAs, Shooters and MMOs. Gosu.ai also offers B2B services, for instance, predictive analytics for companies who build gaming tools to understand their users’ behaviour and other interaction analytics.446. Google Brain's New Model Imagen is Even More Impressive than Dall-E 2If you thought Dall-e 2 had great results, wait until you see what this new model from Google Brain can do. Dalle-e is amazing but often lacks realism, and this is what the team attacked with this new model called Imagen. They share a lot of results on their project page as well as a benchmark, which they introduced for comparing text-to-image models, where they clearly outperform Dall-E 2, and previous image generation approaches. Learn more in the video…447. Is Web Scraping Stealing?Web scraping is a super helpful tool not just to make money but also to reveal injustices hidden in plain sight, or to call Russians to talk about the war448. This AI Performs Seamless Video Manipulation Without Deep Learning or DatasetsNew research by Niv Haim et al. allows us to perform infinite video manipulations without using deep learning or datasets.449. Image Classification Model with Google AutoML [A How To Guide]In this tutorial, I'll show you how to create a single label classification model in Google AutoML. We'll be using a dataset of AI-generated faces from generated.photos. We'll be training our algorithm to determine whether a face is male or female. After that, we'll deploy our model to the cloud AND create the web browser version of the algorithm.450. The Artistic Singularity: How AI Art Redefines CreativityIf art serves to create beauty, evoke emotions or drive narratives, should the matter of how it comes to exist take from or add to its creative essence?451. We're Building an Open-Source LLM/AI API Wrapper: Here's WhyThis article explains Eden AI's Open Source project, which is developing an AI and LLM API wrapper to simplify use in an ever-changing market. 452. Will ChatGPT Put Smart Contract Engineers Out of a Job?Is AI coming to put software developers out of a job? Find out with Compliance Officer Michael Fasanello and Smart Contract Security Researcher Philip Werlau453. Build a Personal Shopping Assistant Using Brain.js and Node.jsExplore the world of personalized recommendations with Brain.js and Nodejs. Uncover how it turns your preferences into curated shopping experiences.454. Can Graph Neural Networks Solve Real-World Problems?In this article, we will learn about GNNs and its structure as well as its applications455. AI is Killing Remote WorkGenerative Artificial Intelligence will make us come back to the office, COVID be damned.456. Artificial Intelligence, Machine Learning, and Human Beings In a conversation with HackerNoon CEO, David Smooke, he identified artificial intelligence as an area of technology in which he anticipates vast growth. He pointed out, somewhat cheekily, that it seems like AI could be further along in figuring out how to alleviate some of our most basic electronic tasks—coordinating and scheduling meetings, for instance. This got me reflecting on the state of artificial intelligence. And mostly why my targeted ads suck so much…457. A Big Step for AI: 3D-LLM Unleashes Language Models into the 3D World3D-LLM is a novel model that bridges the gap between language and the 3D realm we inhabit. [458. Differential Privacy with Tensorflow 2.0 : Multi class Text Classification Privacy](https://hackernoon.com/differential-privacy-with-tensorflow-20-multi-class-text-classification-privacy-yk7a37uh)Introduction459. A Framework on How to Find your Co-FounderRoughly three and a half years ago, we started working on Tara AI, however the genesis of the story begins much earlier. It all began when I had the good fortune of meeting Syed Ahmed in freshman year of college, our company’s current co-founder and CTO. Everyday, I continue to meet with founders and hopeful entrepreneurs that are starting companies with enormous potential, and I find that the first hurdle they have to cross, is finding a partner-in-crime. I truly believe that going about building a company is an arduous journey, and its nearly impossible to build a lasting high-growth company without a co-founder (kudos to those who have achieved this as single founders). I’ve also come to realize, that if you can convince another human being to invest all of their time and energy in building this “thing” that doesn’t currently exist, then other obstacles start to become easier (even if it’s by a factor of 0.0001%).460. 8 Best AI Conferences to Attend in 2022Here’s the full list of top AI conferences to attend in 2022, from the most technical to business-focused to academic461. How I Designed My Own Machine Learning and Artificial Intelligence Degree After noticing my programming courses in college were outdated, I began this year by dropping out of college to teach myself machine learning and artificial intelligence using online resources. With no experience in tech, no previous degrees, here is the degree I designed in Machine Learning and Artificial Intelligence from beginning to end to get me to my goal — to become a well-rounded machine learning and AI engineer. 462. 120 Stories To Learn About Future TechnologyLearn everything you need to know about Future Technology via these 120 free HackerNoon stories.463. How Coding and Other Tech Careers Could Be Impacted By AI and ChatGPTSince the plow, humans have had a natural wariness over technology that seems to threaten their jobs. It’s a natural anxiety. Factories, plows, and automation legitimately have scaled back the need for human labor. And now technology seems to be coming after jobs that previously appeared to be untouchable. 464. ChatGPT for Debugging: 10 Practical Use CasesSay goodbye to endlessly scrolling on Stack Overflow. Discover how ChatGPT can help developers debug their code efficiently with 10 practical use cases.465. What I Learned Using ChatGPT as a Programming MentorNothing accelerates your growth like an experienced mentor. Can ChatGPT serve as a substitute? I'm a dev with 20+ years of experience and I put it to the test.466. Your AI Chatbot Just Leaked Customer Data to OpenAI. Here’s How it Happened and How to Prevent itYour AI chatbot just leaked customer data to OpenAI. Here’s how it happened and how to prevent it.467. Intro to Neural Networks: CNN vs. RNNIn machine learning, each type of artificial neural network is tailored to certain tasks. This article will introduce two types of neural networks: convolutional neural networks (CNN) and recurrent neural networks (RNN). Using popular Youtube videos and visual aids, we will explain the difference between CNN and RNN and how they are used in computer vision and natural language processing. 468. Chat-GPT is Taking Over Twitter. What is Happening and Who is Leading the Change?Hundrx Twitter chrome Extension adopts Twitter to Crypto Environment by adding Web3 layer for Twitter & ChatGPT for Increase reach and Twitter Organic Marketing469. GOAT, Memes, and the Millionaire AI AgentThe wild story of Truth Terminal, the AI agent that turned memes into millions, making GOAT a crypto sensation while reshaping internet culture.470. Will AI Be the End of Programmers? What Happens to the IT Industry?It has become particularly difficult for juniors to secure positions, and the situation is further exacerbated by mass layoffs and hiring freezes.471. How AI Is Transforming Your SmartphoneThe tech industry and the world are relying on artificial intelligence to solve big problems such as cybersecurity, healthcare and sustainability.472. GPT-3 in Your Pocket? Why Not!This tutorial will show you how to create a GPT-powered chatbot for the Viber app, using the WordPress and no-code plugin Convoworks WP.473. AI Generates Realistic 3D Models Using Only a Handful of ImagesNeural Rendering. Neural Rendering is the ability to generate a photorealistic model in space just like this one, from pictures of the object, person, or scene of interest. In this case, you’d have a handful of pictures of this sculpture and ask the machine to understand what the object in these pictures should look like in space. You are basically asking a machine to understand physics and shapes out of images. This is quite easy for us since we only know the real world and depths, but it’s a whole other challenge for a machine that only sees pixels.474. Why It’s Very Difficult to Create AI-Based Slow MotionOver the last few years a number of open source machine learning projects have emerged that are capable of raising the frame rate of source video to 60 frames per second and beyond, producing a smoothed, 'hyper-real' look.475. The Future of Work: How Machines Will Replace HumansFear is not new but seems more real than ever. Will robots put men out of work or become their allies? Who will be most affected? How can they best prepare for the job market of the future? No one has the definitive answers to these questions yet, but what is known is that in a matter of a few decades we will witness a profound transformation of the production of goods and services that will fully impact workers and economies around the planet.Work is being replaced by machines, robots or algorithms, which do something more efficiently and do not create anything new, they simply replace the basic unit of work".476. Five Successful AI and ML Use Cases In ManufacturingHow can manufacturers put artificial intelligence to work in the industry? In this article, you will find five possible applications of Machine learning and Deep learning to industrial processes optimization. 477. Eight Quick Tips for Web3 Content Creators and DevelopersA quick guide to creating content for developers.478. How 5G Is Changing E-Commerce for a More Vivid Buyer ExperienceFifth generation (5G) wireless technology connects many modern devices, from smart appliances to smartphones, to the internet. The technology is currently available to some mobile users in various countries, such as the United States, China and Turkey, with more countries adopting at a rapid rate. 479. Neural Tech and Brain Computer Interfaces (BCI) in Video Games: An OverviewRecently, I attended a virtual conference on the use of neuro technology and BCI (Brain Computer Interfaces or BMI, Brain Machine Interfaces) in gaming, put on by NeurotechX.480. Realistic Face Manipulation in Videos With AIYou've most certainly seen movies like the recent Captain Marvel or Gemini Man where Samuel L Jackson and Will Smith appeared to look like they were much younger. This requires hundreds if not thousands of hours of work from professionals manually editing the scenes he appeared in. Instead, you could use a simple AI and do it within a few minutes.481. My Time at NUS, SingaporeSingapore is home to some of the best schools in the field of Computer Science, specifically Artificial Intelligence. The cutting edge research going on there is unparalleled. Colleges like Nanyang Technological University (NTU) and National University of Singapore (NUS) have a great reputation all over the world for their CS programs. 482. What Comes After the AI Bubble?As the AI bubble deflates, attention shifts from scale to structure. A long view on knowledge, graphs, ontologies, and futures worth living.483. How Web3 Will Use AIHow Web3 Will Use AI484. The 11 Largest AI Companies in the World (December 2025 Edition)A 2025 ranking of AI-first companies by ARR: OpenAI, Anthropic, Midjourney, Cursor, xAI, Replit, Hugging Face, Cohere, Lovable, AI21 Labs, and Stability AI—how 485. 23 Predictions to Prepare You for 2023History has always rhymed; in 2022 it did so faster than ever.486. How to Create Your Own AI Resume Builder Using Next.js, OpenAI & CopilotKitIn this article, you will learn how to build an AI-powered resume builder application using Nextjs, CopilotKit & OpenAI.487. Qwen3.5-9b-uncensored-hauhaucs-Aggressive Model: A Beginner's Guide to Get You StartedQwen3.5-9B-Uncensored-HauhauCS-Aggressive is an uncensored variant of the base Qwen3.5-9B model created by HauhauCS.488. Top 15 AI Companies Hiring in 2023 – By Salary RangeWhat are the top AI companies to work for in 2023? Compare startup and enterprise jobs, salaries, PTO, remote work, benefits, and work-life balance.489. Summarizing Most Popular Text-to-Image Synthesis Methods With PythonComparative Study of Different Adversarial Text to Image Methods490. Elon Musk Says This Is the Future of WarfareElon Musk is no stranger to looking to the future. His companies are some of the most forward-thinking in the world. 491. Understanding the Impact of Artificial Intelligence on AgricultureAccording to recent projections by the UN: [492. Diverse types of Artificial Intelligence:A Must-know for AI Enthusiasts](https://hackernoon.com/diverse-types-of-artificial-intelligence-a-must-know-for-ai-enthusiasts)A precursory article that explains various categorizations of artificial intelligence, some real-life examples and concepts.493. What is OpenAI Hiding?OpenAI is rushing to build an advanced AI that can deliver advanced reasoning capabilities under a tightly-knit project code-named Strawberry.494. Why 87% of Machine learning Projects FailThis article will serve as a lesson on the shocking reasons for your AI adoption disaster. We see news about machine learning everywhere. Indeed, there is lot of potential in machine learning. According to Gartner’s predictions, “Through 2020, 80% of AI projects will remain alchemy, run by wizards whose talents will not scale in the organization” and Transform 2019 of VentureBeat predicted that 87% of AI projects will never make it into production.495. EU Puts a Halt on Unregulated AINo doubt, the EU AI Act is an important step in AI regulations, and it signifies a new era of AI, where responsible AI development is no longer an option…496. The Top 13 Trends in 2024: AI PredictionsRead our VIRAL 70k-view Medium article "AI predictions: Top 13 AI trends for 2024". A comprehensive guide to the future of artificial intelligence.497. Artificial Stupidity: 7 "Innovations" Which Will Make You Question Human IntelligenceA guided tour through seven of the dumbest "smart" AI inventions currently around, proving that when it comes to technology human stupidity wins every time.498. Anomaly Detection Strategies for IoT SensorsMotivation - Algorithms for IoT sensors499. Fifty Shades of SexTech: How Sexuality Meets TechnologyAll you need to know about the SexTech industry: from Teledildonics and interactive robotic sex partners to AI-based oral sex devices and much more.500. Sentient Labs Raises $85M to Challenge OpenAI, Anthropic and GeminiSentient Labs has secured $85 million in seed funding to develop an open-source, decentralized AI platform. Thank you for checking out the 500 most read blog posts about Artificial Intelligence on HackerNoon.Visit the /Learn Repo to find the most read blog posts about any technology.