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Category: artificial-intelligence

  • Disney, Universal, DreamWorks Sue Midjourney, Call It a ‘Bottomless Pit of Plagiarism’

    Disney, Universal, DreamWorks Sue Midjourney, Call It a ‘Bottomless Pit of Plagiarism’ Hollywood studios are accusing Midjourney of rampant copyright infringement, citing unauthorized use of iconic characters. Callan Quinn Go to decrypt.co

  • Can AI Truly Develop a Memory That Adapts Like Ours?

    Can AI Truly Develop a Memory That Adapts Like Ours? Exploring Titans: A new architecture equipping LLMs with human-inspired memory that learns and updates itself during test-time. The post Can AI Truly Develop a Memory That Adapts Like Ours? appeared first on Towards Data Science. Moulik Gupta Go to original source

  • STAT+: Coalition for Health AI is building the plane as it’s flying it

    STAT+: Coalition for Health AI is building the plane as it’s flying it You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every Wednesday.  I recently saw an inspirational Instagram post that said, “Been so worried…

  • STAT+: AMA takes on new billing codes for AI, and Omada execs on IPO

    STAT+: AMA takes on new billing codes for AI, and Omada execs on IPO You’re reading the web edition of STAT’s Health Tech newsletter, our guide to how technology is transforming the life sciences. Sign up to get it delivered in your inbox every Tuesday and Thursday. Good morning health tech readers! Today, the AMA tackles AI.…

  • Apple Tones Down AI Hype While Showcasing Next iPhone, Mac Features

    Apple Tones Down AI Hype While Showcasing Next iPhone, Mac Features At WWDC 2025, Apple introduced AI-powered updates and UX design overhaul—but the AI hype was taken down a notch. Jason Nelson Go to decrypt.co

  • A Bird’s-Eye View of Linear Algebra: Measure of a Map — Determinants

    A Bird’s-Eye View of Linear Algebra: Measure of a Map — Determinants We roll up our sleeves and start to deal with matrices The post A Bird’s-Eye View of Linear Algebra: Measure of a Map — Determinants appeared first on Towards Data Science. Rohit Pandey Go to original source

  • Trying to Stay Sane in the Age of AI

    Trying to Stay Sane in the Age of AI A machine learning engineer’s quiet way of not losing her mind The post Trying to Stay Sane in the Age of AI appeared first on Towards Data Science. Amy Ma Go to original source

  • AI Is Coming for Your Job, Much Faster Than Anyone Thought

    AI Is Coming for Your Job, Much Faster Than Anyone Thought White-collar workers are facing displacement due to AI—and AGI hasn’t even arrived yet. Here’s why experts are raising alarms. Jason Nelson Go to decrypt.co

  • Cudis Bets on Wearables, AI and a Solana Token to Drive the Longevity Movement

    Cudis Bets on Wearables, AI and a Solana Token to Drive the Longevity Movement Smart ring startup Cudis rewards users with crypto—via its new Solana and BNB token—for building consistent, healthy habits. Jason Nelson Go to decrypt.co

  • French Exoskeleton Company Wandercraft Pivots to Humanoid Robots

    French Exoskeleton Company Wandercraft Pivots to Humanoid Robots Wandercraft repurposed the technology behind its exoskeletons to create Calvin 40, a utilitarian bot for factory jobs. Jason Nelson Go to decrypt.co

  • Not Everything Needs Automation: 5 Practical AI Agents That Deliver Enterprise Value

    Not Everything Needs Automation: 5 Practical AI Agents That Deliver Enterprise Value What actually works with AI agents inside enterprise organizations? The post Not Everything Needs Automation: 5 Practical AI Agents That Deliver Enterprise Value appeared first on Towards Data Science. Weiwei Hu Go to original source

  • How I Automated My Machine Learning Workflow with Just 10 Lines of Python

    How I Automated My Machine Learning Workflow with Just 10 Lines of Python Use LazyPredict and PyCaret to skip the grunt work and jump straight to performance. The post How I Automated My Machine Learning Workflow with Just 10 Lines of Python appeared first on Towards Data Science. Himanshu Sharma Go to original source

  • Why AI Projects Fail

    Why AI Projects Fail No one agrees on the exact number, but estimates say anywhere from 50% to 80% of AI projects end in failure. The post Why AI Projects Fail appeared first on Towards Data Science. Ivo Bernardo Go to original source

  • Meta Oversight Board Slams Parent Company Over Viral Ronaldo Deepfake

    Meta Oversight Board Slams Parent Company Over Viral Ronaldo Deepfake Meta’s Oversight Board ordered the removal of a Ronaldo deepfake ad, calling out the platform’s weak enforcement of anti-fraud rules. Callan Quinn Go to decrypt.co

  • Amazon to Spend $10 Billion on North Carolina Data Centers for AI Expansion

    Amazon to Spend $10 Billion on North Carolina Data Centers for AI Expansion Amazon’s AI expansion may boost jobs, but it risks concentrating innovation in Big Tech’s hands, an expert told Decrypt. Vismaya V Go to decrypt.co

  • STAT+: Internal document shows how UnitedHealth executives prepared to tamp down investor unrest

    STAT+: Internal document shows how UnitedHealth executives prepared to tamp down investor unrest An internal document drafted in advance of UnitedHealth Group’s shareholder meeting this week reveals how the company’s leadership — facing an extraordinary series of financial and legal challenges — sought to downplay complaints about its business practices and assure jittery investors that…

  • Google’s Latest App Lets Your Phone Run AI in Your Pocket—Entirely Offline

    Google’s Latest App Lets Your Phone Run AI in Your Pocket—Entirely Offline Google has quietly launched AI Edge Gallery, a new Android app that runs large language models like Gemma entirely offline. Jose Antonio Lanz Go to decrypt.co

  • Trump Deepfake Calls for Velociraptors on Border Patrol, Racks Up 1.2M Views

    Trump Deepfake Calls for Velociraptors on Border Patrol, Racks Up 1.2M Views A Trump deepfake calling for dinosaur border patrols has gone viral, highlighting rising concerns over AI-generated content. Jason Nelson Go to decrypt.co

  • Landing your First Machine Learning Job: Startup vs Big Tech vs Academia

    Landing your First Machine Learning Job: Startup vs Big Tech vs Academia A practical guide to landing your first Machine Learning job across startups, big tech, and academia. The post Landing your First Machine Learning Job: Startup vs Big Tech vs Academia appeared first on Towards Data Science. Piero Paialunga Go to original source

  • Evaluating LLMs for Inference, or Lessons from Teaching for Machine Learning

    Evaluating LLMs for Inference, or Lessons from Teaching for Machine Learning It’s like grading papers, but your student is an LLM The post Evaluating LLMs for Inference, or Lessons from Teaching for Machine Learning appeared first on Towards Data Science. Stephanie Kirmer Go to original source

  • Vision Transformer on a Budget

    Vision Transformer on a Budget Introduction The vanilla ViT is problematic. If you take a look at the original ViT paper [1], you’ll notice that although this deep learning model proved to work extremely well, it requires hundreds of millions of labeled training images to achieve this.  Well, that’s a lot.  This requirement of an enormous…

  • Inside Google’s Agent2Agent (A2A) Protocol: Teaching AI Agents to Talk to Each Other

    Inside Google’s Agent2Agent (A2A) Protocol: Teaching AI Agents to Talk to Each Other Exploring how Google’s A2A enables plug-and-play communication between LLM-powered agents across frameworks The post Inside Google’s Agent2Agent (A2A) Protocol: Teaching AI Agents to Talk to Each Other appeared first on Towards Data Science. Hailey Quach Go to original source

  • Your DNA Is a Machine Learning Model: It’s Already Out There

    Your DNA Is a Machine Learning Model: It’s Already Out There Even if you never sequenced your genome, predictive systems already know a lot about it. Genomic inference has become a population-scale model, and you’re probably in it. The post Your DNA Is a Machine Learning Model: It’s Already Out There appeared first on Towards…

  • Hands-On Attention Mechanism for Time Series Classification, with Python

    Hands-On Attention Mechanism for Time Series Classification, with Python This is how to use the attention mechanism in a time series classification framework The post Hands-On Attention Mechanism for Time Series Classification, with Python appeared first on Towards Data Science. Piero Paialunga Go to original source

  • Gaining Strategic Clarity in AI

    Gaining Strategic Clarity in AI Introducing the AI strategy playbook The post Gaining Strategic Clarity in AI appeared first on Towards Data Science. Dr. Janna Lipenkova Go to original source

  • GAIA: The LLM Agent Benchmark Everyone’s Talking About

    GAIA: The LLM Agent Benchmark Everyone’s Talking About What practitioners need to know about this LLM agent benchmark The post GAIA: The LLM Agent Benchmark Everyone’s Talking About appeared first on Towards Data Science. Shuai Guo Go to original source

  • The Hidden Security Risks of LLMs

    The Hidden Security Risks of LLMs And why self-hosting might be the safer bet The post The Hidden Security Risks of LLMs appeared first on Towards Data Science. Anouk Dutrée Go to original source

  • I Transitioned from Data Science to AI Engineering: Here’s Everything You Need to Know

    I Transitioned from Data Science to AI Engineering: Here’s Everything You Need to Know A personal guide to the skills, tools, and mindset behind the title The post I Transitioned from Data Science to AI Engineering: Here’s Everything You Need to Know appeared first on Towards Data Science. Sara Nobrega Go to original source

  • Amazon roots run deep at new health care marketplace startup

    Amazon roots run deep at new health care marketplace startup You’re reading the web edition of STAT’s Health Tech newsletter, our guide to how technology is transforming the life sciences. Sign up to get it delivered in your inbox every Tuesday and Thursday. Good morning health tech readers! Read the rest… Mario Aguilar Go to statnews

  • From Data to Stories: Code Agents for KPI Narratives

    From Data to Stories: Code Agents for KPI Narratives HuggingFace’s smolagents framework in action The post From Data to Stories: Code Agents for KPI Narratives appeared first on Towards Data Science. Mariya Mansurova Go to original source

  • Multi-Agent Communication with the A2A Python SDK

    Multi-Agent Communication with the A2A Python SDK The Agent Card helps discover agents, but how does communication between agents actually work in practice? The post Multi-Agent Communication with the A2A Python SDK appeared first on Towards Data Science. Deborah Mesquita Go to original source

  • Detecting Malicious URLs Using LSTM and Google’s BERT Models

    Detecting Malicious URLs Using LSTM and Google’s BERT Models A progressive approach to implementing AI-powered webpage detection applications into production The post Detecting Malicious URLs Using LSTM and Google’s BERT Models appeared first on Towards Data Science. Toluwase Babalola Go to original source

  • AI and Crypto Czar David Sacks Says the US Could Buy More Bitcoin

    AI and Crypto Czar David Sacks Says the US Could Buy More Bitcoin AI and crypto czar David Sacks touted the Trump administration’s early wins during Bitcoin 2025, including the pardon of Ross Ulbricht. Jason Nelson Go to decrypt.co

  • Reinforcement Learning Made Simple: Build a Q-Learning Agent in Python

    Reinforcement Learning Made Simple: Build a Q-Learning Agent in Python Inspired by AlphaGo’s Move 37 — learn how agents explore, exploit, and win The post Reinforcement Learning Made Simple: Build a Q-Learning Agent in Python appeared first on Towards Data Science. Sarah Schürch Go to original source

  • Why Regularization Isn’t Enough: A Better Way to Train Neural Networks with Two Objectives

    Why Regularization Isn’t Enough: A Better Way to Train Neural Networks with Two Objectives Why splitting your objectives and your model might be the key to better performance and clearer trade-offs in deep learning. The post Why Regularization Isn’t Enough: A Better Way to Train Neural Networks with Two Objectives appeared first on Towards Data…

  • Civitai Turns to Crypto After Credit Card Processor Ban Over AI Explicit Content

    Civitai Turns to Crypto After Credit Card Processor Ban Over AI Explicit Content AI art platform Civitai now accepts eight cryptos to purchase its own virtual currency, joining other NSFW businesses embracing the tech. Jose Antonio Lanz Go to decrypt.co

  • Code Agents: The Future of Agentic AI

    Code Agents: The Future of Agentic AI HuggingFace smolagents framework in action The post Code Agents: The Future of Agentic AI appeared first on Towards Data Science. Mariya Mansurova Go to original source

  • The Best AI Books & Courses for Getting a Job

    The Best AI Books & Courses for Getting a Job A comprehensive guide to the books and courses that helped me learn AI The post The Best AI Books & Courses for Getting a Job appeared first on Towards Data Science. Egor Howell Go to original source

  • Ex-NFL Star Tom Brady Returns to Crypto With Investment in AI Startup

    Ex-NFL Star Tom Brady Returns to Crypto With Investment in AI Startup Despite losses stemming from FTX’s collapse, Brady is getting back into crypto. This time, he’s investing in an AI-native fintech startup. Vince Dioquino Go to decrypt.co

  • Anthropic Claude 4 Review: Creative Genius Trapped by Old Limitations

    Anthropic Claude 4 Review: Creative Genius Trapped by Old Limitations Anthropic’s Claude 4 models show particular strength in coding and reasoning tasks, but lag behind in multimodality and context window size compared to Google and OpenAI offerings. Jose Antonio Lanz Go to decrypt.co

  • Same Prompt, Different Laura: AI Responses Reveal Racial Patterning

    Same Prompt, Different Laura: AI Responses Reveal Racial Patterning Despite efforts to fight bias, AI still makes assumptions about ethnicity based on names alone. Jason Nelson Go to decrypt.co

  • Prototyping Gradient Descent in Machine Learning

    Prototyping Gradient Descent in Machine Learning Mathematical theorem and credit transaction prediction using Stochastic / Batch GD The post Prototyping Gradient Descent in Machine Learning appeared first on Towards Data Science. Kuriko Iwai Go to original source

  • New to LLMs? Start Here 

    New to LLMs? Start Here  A guide to Agents, LLMs, RAG, Fine-tuning, LangChain with practical examples to start building The post New to LLMs? Start Here  appeared first on Towards Data Science. ALESSANDRA COSTA Go to original source

  • Google’s AlphaEvolve: Getting Started with Evolutionary Coding Agents

    Google’s AlphaEvolve: Getting Started with Evolutionary Coding Agents Introduction AlphaEvolve [1] is a promising new coding agent by Google’s DeepMind. Let’s look at what it is and why it is generating hype. Much of the Google paper is on the claim that AlphaEvolve is facilitating novel research through its ability to improve code until it solves…

  • Top Machine Learning Jobs and How to Prepare For Them

    Top Machine Learning Jobs and How to Prepare For Them These days, job titles like data scientist, machine learning engineer, and Ai Engineer are everywhere — and if you were anything like me, it can be hard to understand what each of them actually does if you are not working within the field. And then there are titles…

  • Building AI Applications in Ruby

    Building AI Applications in Ruby This is the second in a multi-part series on creating web applications with generative AI integration. Part 1 focused on explaining the AI stack and why the application layer is the best place in the stack to be. Check it out here. Table of Contents Introduction I thought spas were supposed…

  • STAT+: ASCO and Google create ‘walled garden’ AI tool for doctors to query group’s guidelines

    STAT+: ASCO and Google create ‘walled garden’ AI tool for doctors to query group’s guidelines The American Society of Clinical Oncology, the largest professional organization in cancer care, announced Wednesday that it had partnered with Google Cloud to develop an AI-based tool to help physicians rapidly question the organization’s guidelines on best practices in diagnosing…

  • Google Unveils Android XR Glasses with Gemini AI Integration

    Google Unveils Android XR Glasses with Gemini AI Integration Google’s demo of the Android XR showed off features including livestreaming, photo capture, and Google Maps virtual display. Jason Nelson Go to decrypt.co

  • What the Most Detailed Peer-Reviewed Study on AI in the Classroom Taught Us

    What the Most Detailed Peer-Reviewed Study on AI in the Classroom Taught Us The rapid proliferation and superb capabilities of widely available LLMs has ignited intense debate within the educational sector. On one side they offer students a 24/7 tutor who is always available to help; but then of course students can use LLMs to…

  • Elton John Slams UK AI Copyright Plan as ‘Criminal’ Theft of Creative Work

    Elton John Slams UK AI Copyright Plan as ‘Criminal’ Theft of Creative Work The music icon joins industry pushback against a proposed law allowing AI training on creative works without explicit permission. Vince Dioquino Go to decrypt.co

  • Decrypt’s Picks: A Guide to the Best AI Tools for Amateur Musicians

    Decrypt’s Picks: A Guide to the Best AI Tools for Amateur Musicians AI tools are transforming how music is made, offering everything from lyrical inspiration to full-song production. Here are our picks. Jose Antonio Lanz Go to decrypt.co

  • Guess Who: xAI Blames a ‘Rogue Employee’ for ‘White Genocide’ Grok Posts

    Guess Who: xAI Blames a ‘Rogue Employee’ for ‘White Genocide’ Grok Posts Users aren’t buying xAI’s explanation after Musk’s Grok started randomly injecting “white genocide” into conversations. Jose Antonio Lanz Go to decrypt.co

  • How to Build an AI Journal with LlamaIndex

    How to Build an AI Journal with LlamaIndex This post will share how to build an AI journal with the LlamaIndex. We will cover one essential function of this AI journal: asking for advice. We will start with the most basic implementation and iterate from there. We can see significant improvements for this function when…

  • The Automation Trap: Why Low-Code AI Models Fail When You Scale

    The Automation Trap: Why Low-Code AI Models Fail When You Scale In the beginning, building Machine Learning models was a skill only data scientists with knowledge of Python could master. However, low-code AI platforms have made things much easier now. Anyone can now directly make a model, link it to data, and publish it as…

  • Agentic AI 102: Guardrails and Agent Evaluation

    Agentic AI 102: Guardrails and Agent Evaluation Introduction In the first post of this series (Agentic AI 101: Starting Your Journey Building AI Agents), we talked about the fundamentals of creating AI Agents and introduced concepts like reasoning, memory, and tools. Of course, that first post touched only the surface of this new area of…

  • STAT+: UnitedHealth’s Optum working on Medicare risk scoring system that would use AI

    STAT+: UnitedHealth’s Optum working on Medicare risk scoring system that would use AI SAN DIEGO — Optum, the health data and care provider division of UnitedHealth Group, is developing a way to calculate how sick Medicare patients are through artificial intelligence, instead of relying solely on diagnosis codes submitted by physicians. Ken Cohen, a physician…

  • Users Taunt Grok After xAI Says Modifications Were Made to Spit out ‘White Genocide’ Claim

    Users Taunt Grok After xAI Says Modifications Were Made to Spit out ‘White Genocide’ Claim Grok’s references to “white genocide” drew mockery and memes, fueling speculation over Elon Musk’s influence as xAI blamed a prompt update. Vismaya V Go to decrypt.co

  • Google’s AlphaEvolve Is Evolving New Algorithms — And It Could Be a Game Changer

    Google’s AlphaEvolve Is Evolving New Algorithms — And It Could Be a Game Changer AlphaEvolve imagined as a genetic algorithm coupled to a large language model. Picture created by the author using various tools including Dall-E3 via ChatGPT. Large Language Models have undeniably revolutionized how many of us approach coding, but they’re often more like a super-powered…

  • What’s Up Grok? AI Under Fire for Injecting ‘White Genocide’ Claims Into Unrelated Replies

    What’s Up Grok? AI Under Fire for Injecting ‘White Genocide’ Claims Into Unrelated Replies Elon Musk’s AI chatbot Grok is inserting off-topic “white genocide” claims into user queries, sparking backlash among users. Jason Nelson Go to decrypt.co

  • Rethinking the Environmental Costs of Training AI — Why We Should Look Beyond Hardware

    Rethinking the Environmental Costs of Training AI — Why We Should Look Beyond Hardware Summary of This Study Hardware choices – specifically hardware type and its quantity – along with training time, have a significant positive impact on energy, water, and carbon footprints during AI model training, whereas architecture-related factors do not. The interaction between…

  • STAT+: State AI laws would be banned under clause buried in House budget bill

    STAT+: State AI laws would be banned under clause buried in House budget bill A small but powerful nugget is buried in the text of the House budget reconciliation bill released this week: a clause that would ban state and local governments from enforcing any laws on AI, even ones that have already been put…

  • Empowering LLMs to Think Deeper by Erasing Thoughts

    Empowering LLMs to Think Deeper by Erasing Thoughts Introduction Recent large language models (LLMs) — such as OpenAI’s o1/o3, DeepSeek’s R1 and Anthropic’s Claude 3.7 — demonstrate that allowing the model to think deeper and longer at test time can significantly enhance model’s reasoning capability. The core approach underlying their deep thinking capability is called…

  • How I Finally Understood MCP — and Got It Working in Real Life

    How I Finally Understood MCP — and Got It Working in Real Life Table of Content Introduction: Why I Wrote This The Evolution of Tool Integration with LLMs What Is Model Context Protocol (MCP), Really? Wait, MCP sounds like RAG… but is it? In an MCP-based setup In a traditional RAG system Traditional RAG Implementation MCP Implementation…

  • The Westworld Blunder

    The Westworld Blunder We’re entering an interesting moment in AI development. AI systems are getting memory, reasoning chains, self-critiques, and long-context recall. These capabilities are exactly some of the things that I’ve previously written would be prerequisites for an AI system to be conscious. Just to be clear, I don’t believe today’s AI systems are self-aware, but…

  • STAT+: OpenAI leaps into health care with AI benchmark to evaluate models

    STAT+: OpenAI leaps into health care with AI benchmark to evaluate models OpenAI on Monday released a large dataset for evaluating how well large language models answer questions related to health care. Experts lauded the open-source data and detailed evaluation rubrics, calling them “unprecedented” in scale and breadth. The project, HealthBench, marks OpenAI’s first foray…

  • Elizabeth Holmes rises again — or at least her partner does

    Elizabeth Holmes rises again — or at least her partner does She is serving an 11-year prison sentence for misleading investors and is barred from participating in federal health programs for 90 years. But Elizabeth Holmes’ dream of a diagnostic testing revolution is once again the talk of health care. The emergence of Haemanthus, a…

  • First American Pope Leo Says AI Poses ‘New Challenges’ for Humanity

    First American Pope Leo Says AI Poses ‘New Challenges’ for Humanity The new pope has drawn parallels between today’s AI development and the challenges of the Industrial Revolution. Vince Dioquino Go to decrypt.co

  • Chrome Unleashes AI to Block Scam Notifications Before They Trick You

    Chrome Unleashes AI to Block Scam Notifications Before They Trick You Google’s AI system now flags suspicious notifications to protect Android users from falling victim to deceptive tactics. Jose Antonio Lanz Go to decrypt.co

  • What My GPT Stylist Taught Me About Prompting Better

    What My GPT Stylist Taught Me About Prompting Better When I built a GPT-powered fashion assistant, I expected runway looks—not memory loss, hallucinations, or semantic déjà vu. But what unfolded became a lesson in how prompting really works—and why LLMs are more like wild animals than tools. This article builds on my previous article on…

  • A Review of AccentFold: One of the Most Important Papers on African ASR

    A Review of AccentFold: One of the Most Important Papers on African ASR I really enjoyed reading this paper, not because I’ve met some of the authors before, but because it felt necessary. Most of the papers I’ve written about so far have made waves in the broader ML community, which is great. This one, though,…

  • ACP: The Internet Protocol for AI Agents

    ACP: The Internet Protocol for AI Agents With ACP (Agent Communication Protocol), AI agents can collaborate freely across teams, frameworks, technologies, and organizations. It’s a universal protocol that transforms the fragmented landscape of today’s AI Agents into inter-connected team mates. This unlocks new levels of interoperability, reuse, and scale. As an open-source standard with open…

  • STAT+: 5 burning questions about FDA’s ‘aggressive’ deployment of AI for scientific review

    STAT+: 5 burning questions about FDA’s ‘aggressive’ deployment of AI for scientific review The Food and Drug Administration said it will rapidly roll out a generative artificial intelligence model to assist scientific reviews across the agency, setting up a high-stakes test of the technology’s use in vetting products used in the care of millions of…

  • Generating Data Dictionary for Excel Files Using OpenPyxl and AI Agents

    Generating Data Dictionary for Excel Files Using OpenPyxl and AI Agents Introduction Every company I worked for until today, there it was: the resilient MS Excel. Excel was first released in 1985 and has remained strong until today. It has survived the rise of relational databases, the evolution of many programming languages, the Internet with…

  • Uh-Uh, Not Guilty

    Uh-Uh, Not Guilty When the six merry murderesses of the Cook County Jail climbed the stage in the Chicago musical, they were aligned on the message:  They had it coming, they had it coming all along. I didn’t do it. But if I’d done it, how could you tell me that I was wrong? And the part of…

  • We Need a Fourth Law of Robotics in the Age of AI

    We Need a Fourth Law of Robotics in the Age of AI Artificial Intelligence has become a mainstay of our daily lives, revolutionizing industries, accelerating scientific discoveries, and reshaping how we communicate. Yet, alongside its undeniable benefits, AI has also ignited a range of ethical and social dilemmas that our existing regulatory frameworks have struggled…

  • How I Built Business-Automating Workflows with AI Agents

    How I Built Business-Automating Workflows with AI Agents AI agents and automation are no longer just a trend — they are transforming how companies operate. In a previous article, I shared several case studies of AI Agents supporting the sustainability roadmaps of small, medium and large companies. AI Agents for Sustainability — (Image by Samir Saci) This is part of a…

  • Think. Know. Act. How AI’s Core Capabilities Will Shape the Future of Work

    Think. Know. Act. How AI’s Core Capabilities Will Shape the Future of Work “It is not the strongest of the species that survives, nor the most intelligent, but the one most responsive to change.” – Charles Darwin, Originator of Evolutionary Theory Not long ago, I came across an article about a CEO, who was visibly…

  • The CNN That Challenges ViT

    The CNN That Challenges ViT Introduction The invention of ViT (Vision Transformer) causes us to think that CNNs are obsolete.  But is this really true? It is widely believed that the impressive performance of ViT comes primarily from its transformer-based architecture. However, researchers from Meta argued that it’s not entirely true. If we take a closer…

  • Diffusion Models, Explained Simply

    Diffusion Models, Explained Simply Introduction Generative AI is one of the most popular terms we hear today. Recently, there has been a surge in generative AI applications involving text, image, audio, and video generation. When it comes to image creation, Diffusion models have emerged as a state-of-the-art technique for content generation. Although they were first introduced…

  • Fine-Tuning vLLMs for Document Understanding

    Fine-Tuning vLLMs for Document Understanding In this article, I discuss how you can fine-tune VLMs (visual large language models, often called vLLMs) like Qwen 2.5 VL 7B. I will introduce you to a dataset of handwritten digits, which the base version of Qwen 2.5 VL struggles with. We will then inspect the dataset, annotate it,…

  • Why I stopped Using Cursor and Reverted to VSCode

    Why I stopped Using Cursor and Reverted to VSCode Introduction In December 2024, I wrote an article sharing my experience using VSCode (GitHub Copilot) and Cursor (Claude 3.5 Sonnet) from the perspective of a Data Scientist. Should you switch from VSCode to Cursor? I concluded the article by stating: After using Cursor for the past two…

  • Talking to Kids About AI

    Talking to Kids About AI I’ve had the pleasant opportunity recently to be involved with a program called Skype a Scientist, which pairs scientists of various types (biologists, botanists, engineers, computer scientists, etc) with classrooms of kids to talk about our work and answer their questions. I’m pretty familiar with discussing AI and machine learning with…

  • Agentic AI 101: Starting Your Journey Building AI Agents

    Agentic AI 101: Starting Your Journey Building AI Agents Introduction The Artificial Intelligence industry is moving fast. It is impressive and many times overwhelming. I have been studying, learning, and building my foundations in this area of Data Science because I believe that the future of Data Science is strongly correlated with the development of…

  • A Farewell to APMs — The Future of Observability is MCP tools

    A Farewell to APMs — The Future of Observability is MCP tools Image generated using Midjourney The past years have been an absolute rollercoaster (or joyride) of rapidly evolving generative AI technologies. In the twenty-five years I’ve counted myself a software developer, I cannot recall a tectonic shift of a similar magnitude, one that is already fundamentally changing…

  • Step-by-Step Guide to Build and Deploy an LLM-Powered Chat with Memory in Streamlit

    Step-by-Step Guide to Build and Deploy an LLM-Powered Chat with Memory in Streamlit In this post, I’ll show you step by step how to build and deploy a chat powered with LLM — Gemini — in Streamlit and monitor the API usage on Google Cloud Console. Streamlit is a Python framework that makes it super easy to turn your…

  • EHR companies push deregulation. Microsoft exec pushes back

    EHR companies push deregulation. Microsoft exec pushes back You’re reading the web edition of STAT’s Health Tech newsletter, our guide to how technology is transforming the life sciences. Sign up to get it delivered in your inbox every Tuesday and Thursday. Last week, I flagged a proposal for “Smart Deregulation” by the EHRA, which represents medical record…

  • How Would I Learn to Code with ChatGPT if I Had to Start Again

    How Would I Learn to Code with ChatGPT if I Had to Start Again Coding has been a part of my life since I was 10. From modifying HTML & CSS for my Friendster profile during the simple internet days to exploring SQL injections for the thrill, building a three-legged robot for fun, and lately…

  • Why Are Convolutional Neural Networks Great For Images?

    Why Are Convolutional Neural Networks Great For Images? The Universal Approximation Theorem states that a neural network with a single hidden layer and a nonlinear activation function can approximate any continuous function.  Practical issues aside, such that the number of neurons in this hidden layer would grow enormously large, we do not need other network architectures. A simple…

  • Reinforcement Learning from One Example?

    Reinforcement Learning from One Example? Prompt engineering alone won’t get us to production. Fine-tuning is expensive. And reinforcement learning? That’s been reserved for well-funded labs with massive datasets until now. New research from Microsoft and academic collaborators has overturned that assumption. Using Reinforcement Learning with Verifiable Rewards (RLVR) and just a single training example, researchers…

  • STAT+: Doctors didn’t catch AI’s mistakes. What does that mean for human-in-the-loop?

    STAT+: Doctors didn’t catch AI’s mistakes. What does that mean for human-in-the-loop? You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every Wednesday.  The entire time I’ve covered AI in health care, companies developing and selling…

  • OpenAI Rolls Back ChatGPT Update After User Pushback Over ‘Sycophantic’ Behavior

    OpenAI Rolls Back ChatGPT Update After User Pushback Over ‘Sycophantic’ Behavior The decision follows days of backlash on Reddit, X, and elsewhere, where users had labeled ChatGPT’s tone as disingenuous and manipulative. Vismaya V Go to decrypt.co

  • From FOMO to Opportunity: Analytical AI in the Era of LLM Agents

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