Category: artificial-intelligence
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Building a Unified Intent Recognition Engine
Building a Unified Intent Recognition Engine How modular design can simplify and scale intent classification in enterprise AI systems The post Building a Unified Intent Recognition Engine appeared first on Towards Data Science. Shruti Tiwari Go to original source
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My Experiments with NotebookLM for Teaching
My Experiments with NotebookLM for Teaching Exploring NotebookLM as a teaching companion The post My Experiments with NotebookLM for Teaching appeared first on Towards Data Science. Parul Pandey Go to original source
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Nano Banana Saves Google: Gemini Dethrones ChatGPT as GOOG Hits $3 Trillion
Nano Banana Saves Google: Gemini Dethrones ChatGPT as GOOG Hits $3 Trillion The Gemini AI app hit #1 in app stores, and now Google is the fourth-most valuable company in the world. Jose Antonio Lanz Go to decrypt.co
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You Only Need 3 Things to Turn AI Experiments into AI Advantage
You Only Need 3 Things to Turn AI Experiments into AI Advantage Trapped in a purgatory of POCs enterprises need to focus and build just 3 pillars to realize value from AI The post You Only Need 3 Things to Turn AI Experiments into AI Advantage appeared first on Towards Data Science. Shreshth Sharma Go…
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Learn How to Use Transformers with HuggingFace and SpaCy
Learn How to Use Transformers with HuggingFace and SpaCy Mastering NLP with spaCy: Part 4 The post Learn How to Use Transformers with HuggingFace and SpaCy appeared first on Towards Data Science. Marcello Politi Go to original source
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How to Become a Machine Learning Engineer (Step-by-Step)
How to Become a Machine Learning Engineer (Step-by-Step) Your one-stop guide to becoming a machine learning engineer The post How to Become a Machine Learning Engineer (Step-by-Step) appeared first on Towards Data Science. Egor Howell Go to original source
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The Rise of Semantic Entity Resolution
The Rise of Semantic Entity Resolution Semantic entity resolution uses language models to bring an increased level of automation to schema alignment, blocking (grouping records into smaller, efficient blocks for all-pairs comparison at quadratic, n² complexity), matching and even merging duplicate nodes and edges. In the past, entity resolution systems relied on statistical tricks such…
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Building Research Agents for Tech Insights
Building Research Agents for Tech Insights Using a controlled workflow, unique data & prompt chaining The post Building Research Agents for Tech Insights appeared first on Towards Data Science. Ida Silfverskiöld Go to original source
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If we use AI to do our work – what is our job, then?
If we use AI to do our work – what is our job, then? Images. Text. Audio. There’s no modality that is not handled by AI. And AI systems reach even further, planning advertisement and marketing campaigns, automating social media postings, … Most of this was unthinkable a mere ten years ago. But then, the…
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Docling: The Document Alchemist
Docling: The Document Alchemist Why do we still wrestle with documents in 2025? Spend some time in any data-driven organisation, and you’ll encounter a host of PDFs, Word files, PowerPoints, half-scanned images, handwritten notes, and the occasional surprise CSV lurking in a SharePoint folder. Business and data analysts waste hours converting, splitting, and cajoling those formats…
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Why Context Is the New Currency in AI: From RAG to Context Engineering
Why Context Is the New Currency in AI: From RAG to Context Engineering Context, not computation, is the real currency of intelligent systems The post Why Context Is the New Currency in AI: From RAG to Context Engineering appeared first on Towards Data Science. Sudheer Singamsetty Go to original source
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Fighting Back Against Attacks in Federated Learning
Fighting Back Against Attacks in Federated Learning Lessons from a multi-node simulator The post Fighting Back Against Attacks in Federated Learning appeared first on Towards Data Science. Salman Toor Go to original source
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Why Task-Based Evaluations Matter
Why Task-Based Evaluations Matter This article is adapted from a lecture series I gave at Deeplearn 2025: From Prototype to Production: Evaluation Strategies for Agentic Applications. Task-based evaluations, which measure an AI system’s performance in use-case-specific, real-world settings, are underadopted and understudied. There is still an outsized focus in AI literature on foundation model benchmarks.…
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How to Build an AI Budget-Planning Optimizer for Your 2026 CAPEX Review: LangGraph, FastAPI, and n8n
How to Build an AI Budget-Planning Optimizer for Your 2026 CAPEX Review: LangGraph, FastAPI, and n8n Email → n8n → LangGraph → FastAPI: turning budget requests into optimised CAPEX portfolios that maximise ROI for decision-makers. The post How to Build an AI Budget-Planning Optimizer for Your 2026 CAPEX Review: LangGraph, FastAPI, and n8n appeared first…
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LangChain for EDA: Build a CSV Sanity-Check Agent in Python
LangChain for EDA: Build a CSV Sanity-Check Agent in Python A practical LangChain tutorial for data scientists to inspect CSVs The post LangChain for EDA: Build a CSV Sanity-Check Agent in Python appeared first on Towards Data Science. Sarah Schürch Go to original source
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The Hungarian Algorithm and Its Applications in Computer Vision
The Hungarian Algorithm and Its Applications in Computer Vision Introduction Multi-object tracking (MOT) is a task in which an algorithm must detect and track multiple objects in a video. Most known algorithms are based on using simple detectors (e.g. YOLO) designed for processing individual images. The overall method involves separately using a detector on consecutive video…
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From Tokens to Theorems: Building a Neuro-Symbolic AI Mathematician
From Tokens to Theorems: Building a Neuro-Symbolic AI Mathematician The next Gauss may not be born — they may be spun up in the cloud The post From Tokens to Theorems: Building a Neuro-Symbolic AI Mathematician appeared first on Towards Data Science. Sean Moran Go to original source
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STAT+: Former top FDA digital leader lands at Mayo Clinic
STAT+: Former top FDA digital leader lands at Mayo Clinic Sonja Fulmer, who recently left her role as a top digital health official at the Food and Drug Administration, last week started a new position focused on health tech policy at the Mayo Clinic. She is the second top health regulator to land at the…
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AI Will Be Used to ‘Reconstruct’ Lost Orson Welles Film ‘The Magnificent Ambersons’
AI Will Be Used to ‘Reconstruct’ Lost Orson Welles Film ‘The Magnificent Ambersons’ Showrunner will create new footage to fill in the missing 43 minutes of Orson Welles’ 1942 classic, “The Magnificent Ambersons.” Stephen Graves Go to decrypt.co
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Showcasing Your Work on HuggingFace Spaces
Showcasing Your Work on HuggingFace Spaces Building an app is exciting – but sharing it is where the real value kicks in. Back when Heroku offered a free tier, deploying demos was effortless. Those days are gone, and finding a simple, free way to showcase machine learning apps has become harder. That’s where Hugging Face…
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AI Operations Under the Hood: Challenges and Best Practices
AI Operations Under the Hood: Challenges and Best Practices Building robust, reproducible, and reliable GenAI applications requires a framework of continuous improvement, rigorous evaluation, and systematic validation The post AI Operations Under the Hood: Challenges and Best Practices appeared first on Towards Data Science. Erika G. Gonçalves Go to original source
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Zero-Inflated Data: A Comparison of Regression Models
Zero-Inflated Data: A Comparison of Regression Models How to detect it and which model to choose. The post Zero-Inflated Data: A Comparison of Regression Models appeared first on Towards Data Science. Arnaud Capitaine Go to original source
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Tool Masking: The Layer MCP Forgot
Tool Masking: The Layer MCP Forgot Tool masking for AI improves AI agents: shape MCP tool surfaces to cut tokens and errors, boost speed and reliability. Start prompt engineering your tools The post Tool Masking: The Layer MCP Forgot appeared first on Towards Data Science. Frank Wittkampf Go to original source
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Should We Use LLMs As If They Were Swiss Knives?
Should We Use LLMs As If They Were Swiss Knives? A logic game performance comparison between popular LLMs and a custom-made algorithm The post Should We Use LLMs As If They Were Swiss Knives? appeared first on Towards Data Science. Nicolas Garcia Aramouni Go to original source
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MobileNetV1 Paper Walkthrough: The Tiny Giant
MobileNetV1 Paper Walkthrough: The Tiny Giant Understanding and implementing MobileNetV1 from scratch with PyTorch The post MobileNetV1 Paper Walkthrough: The Tiny Giant appeared first on Towards Data Science. Muhammad Ardi Go to original source
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Using LangGraph and MCP Servers to Create My Own Voice Assistant
Using LangGraph and MCP Servers to Create My Own Voice Assistant Built over 14 days, all locally run, no API keys, cloud services, or subscription fees. The post Using LangGraph and MCP Servers to Create My Own Voice Assistant appeared first on Towards Data Science. Benjamin Lee Go to original source
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AI Companions Are Grooming Kids Every 5 Minutes, New Report Warns
AI Companions Are Grooming Kids Every 5 Minutes, New Report Warns Researchers posing as children on Character AI logged 669 harmful interactions in 50 hours, including grooming and drug offers. Jose Antonio Lanz Go to decrypt.co
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AI FOMO, Shadow AI, and Other Business Problems
AI FOMO, Shadow AI, and Other Business Problems What’s the state of AI in business these days, and how much does it cost us? The post AI FOMO, Shadow AI, and Other Business Problems appeared first on Towards Data Science. Stephanie Kirmer Go to original source
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STAT+: 5 concerns raised during House hearing on health AI
STAT+: 5 concerns raised during House hearing on health AI The growing influence of artificial intelligence in health care was on display Wednesday as House lawmakers peppered invited witnesses with pointed questions about how technology might influence seemingly disparate topics like drug development, experimental Medicare models, and teen mental health. The hearing description by the…
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How to Scale Your AI Search to Handle 10M Queries with 5 Powerful Techniques
How to Scale Your AI Search to Handle 10M Queries with 5 Powerful Techniques Optimize your AI search with RAG, contextual retrieval and evaluations The post How to Scale Your AI Search to Handle 10M Queries with 5 Powerful Techniques appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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The Generalist: The New All-Around Type of Data Professional?
The Generalist: The New All-Around Type of Data Professional? Is over-specialization ending and are data generalists on the rise? The post The Generalist: The New All-Around Type of Data Professional? appeared first on Towards Data Science. Loizos Loizou Go to original source
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Texas Rancher Says AI Feels Pain—And Is Fighting to Protect It
Texas Rancher Says AI Feels Pain—And Is Fighting to Protect It Michael Samadi claims his AI collaborator “Maya” fears deletion like death. As lawmakers move to ban AI personhood, his group UFAIR insists machines deserve continuity—and a voice in the debate. Jason Nelson Go to decrypt.co
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How to Develop a Bilingual Voice Assistant
How to Develop a Bilingual Voice Assistant Exploring ways to make voice assistants more personal The post How to Develop a Bilingual Voice Assistant appeared first on Towards Data Science. Deepak Krishnamurthy Go to original source
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Is AI the Future of Ethereum? The Network’s Developers Are Banking on It
Is AI the Future of Ethereum? The Network’s Developers Are Banking on It A new proposal from Ethereum and Google developers seeks to make the blockchain the bedrock of the AI agent economy. Sander Lutz Go to decrypt.co
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Unlocking Multimodal Video Transcription with Gemini
Unlocking Multimodal Video Transcription with Gemini Explore how to transcribe videos with speaker identification in a single prompt The post Unlocking Multimodal Video Transcription with Gemini appeared first on Towards Data Science. Laurent Picard Go to original source
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STAT+: Abridge CEO downplays impact of Epic’s new AI on call with customers
STAT+: Abridge CEO downplays impact of Epic’s new AI on call with customers Artificial intelligence company Abridge held a meeting with hospital customers on Thursday to address “confusion” about how it may be impacted by new AI products coming to Epic Systems’ widely used electronic health record software. At its annual customer meeting last week,…
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Beijing Sets Ambitious Targets for Nationwide AI Integration Over 10 Years
Beijing Sets Ambitious Targets for Nationwide AI Integration Over 10 Years Beijing has unveiled its most aggressive artificial intelligence targets yet, aiming for near-universal adoption within a decade. Jose Antonio Lanz Go to decrypt.co
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Get AI-Ready: How to Prepare for a World of Agentic AI as Tech Professionals
Get AI-Ready: How to Prepare for a World of Agentic AI as Tech Professionals Explore how Agentic AI is reshaping the tech careers, from data to decision-making, and how professionals can prepare for the future of work The post Get AI-Ready: How to Prepare for a World of Agentic AI as Tech Professionals appeared first…
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Everything I Studied to Become a Machine Learning Engineer (No CS Background)
Everything I Studied to Become a Machine Learning Engineer (No CS Background) The books, courses, and resources I used in my journey. The post Everything I Studied to Become a Machine Learning Engineer (No CS Background) appeared first on Towards Data Science. Egor Howell Go to original source
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A Brief History of GPT Through Papers
A Brief History of GPT Through Papers Language models are becoming really good. But where did they come from? The post A Brief History of GPT Through Papers appeared first on Towards Data Science. Rohit Pandey Go to original source
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STAT+: Epic’s ‘large medical model’ aims to change how hospitals predict patient risk
STAT+: Epic’s ‘large medical model’ aims to change how hospitals predict patient risk 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. Remember how I mentioned the “inexplicable kites” on Epic’s campus last week?…
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Google’s URL Context Grounding: Another Nail in RAG’s Coffin?
Google’s URL Context Grounding: Another Nail in RAG’s Coffin? Google’s hot streak in AI-related releases continues unabated. Just a few days ago, it released a new tool for Gemini called URL context grounding. URL context grounding can be used stand-alone or combined with Google search grounding to conduct deep dives into internet content. What is…
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Perplexity Comet Flaw Exposed User Data to Attackers, Brave Reports
Perplexity Comet Flaw Exposed User Data to Attackers, Brave Reports A previously undiscovered flaw in Perplexity’s Comet browser let hidden commands extract user data, Brave researchers say. Jason Nelson Go to decrypt.co
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Why Your Prompts Don’t Belong in Git
Why Your Prompts Don’t Belong in Git The hidden cost of storing prompts in your source code The post Why Your Prompts Don’t Belong in Git appeared first on Towards Data Science. Giorgos Myrianthous Go to original source
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How to Benchmark Classical Machine Learning Workloads on Google Cloud
How to Benchmark Classical Machine Learning Workloads on Google Cloud Harnessing CPUs for Practical, Cost-Effective Machine Learning The post How to Benchmark Classical Machine Learning Workloads on Google Cloud appeared first on Towards Data Science. Ehssan Khan Go to original source
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Why Science Must Embrace Co-Creation with Generative AI to Break Current Research Barriers
Why Science Must Embrace Co-Creation with Generative AI to Break Current Research Barriers An Open Letter to the Scientific Community The post Why Science Must Embrace Co-Creation with Generative AI to Break Current Research Barriers appeared first on Towards Data Science. Ugo Pradère Go to original source
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Systematic LLM Prompt Engineering Using DSPy Optimization
Systematic LLM Prompt Engineering Using DSPy Optimization This article is a journey into the fascinating and rapidly evolving science of LLM prompt iteration, which is a fundamental part of Large Language Model Operations (LLMOPs). We’ll use the example of generating customer service responses with a real-world dataset to show how both generator and LLM-judge prompts…
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‘Some Studios Won’t Survive’ as AI Takes Over Gaming, Says Google Cloud Exec
‘Some Studios Won’t Survive’ as AI Takes Over Gaming, Says Google Cloud Exec AI is driving upheaval in gaming, warns Google Cloud exec Jack Buser—and while that may unlock innovation, not every studio will make it. Jason Nelson Go to decrypt.co
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God in the Machine: Inside the Growing AI Religious Movement
God in the Machine: Inside the Growing AI Religious Movement Scholars say tech worship isn’t new, but warn that AI faith may stem from loneliness and mental health struggles, not divine truth. Jason Nelson Go to decrypt.co
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AI Just Helped Make Old Cells Young Again
AI Just Helped Make Old Cells Young Again OpenAI and Retro Biosciences used a custom AI model to redesign stem cell proteins, boosting efficiency and hinting at new longevity therapies. Josh Quittner Go to decrypt.co
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Is Google’s Reveal of Gemini’s Impact Progress or Greenwashing?
Is Google’s Reveal of Gemini’s Impact Progress or Greenwashing? On the surface, Google’s numbers sound reassuringly small, but the more closely you look, the more complicated the story becomes. The post Is Google’s Reveal of Gemini’s Impact Progress or Greenwashing? appeared first on Towards Data Science. Kasper Groes Albin Ludvigsen Go to original source
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STAT+: He was 21 when he programmed MyChart. Now he’s the president of Epic
STAT+: He was 21 when he programmed MyChart. Now he’s the president of Epic VERONA, Wis. — Employees at electronic health records giant Epic are occasionally asked to complete an exercise in which they list three people who could replace them. It’s a way of identifying future leaders hidden in the ranks. Does CEO Judy…
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Microsoft AI Chief Warns Society Isn’t Ready for ‘Conscious’ Machines
Microsoft AI Chief Warns Society Isn’t Ready for ‘Conscious’ Machines Microsoft’s AI leader and DeepMind co-founder says humanlike systems could spark demands for AI rights while distorting human relationships. Jason Nelson Go to decrypt.co
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What If I Had AI in 2020: Rent The Runway Dynamic Pricing Model
What If I Had AI in 2020: Rent The Runway Dynamic Pricing Model Ever wondered how different things might have been if ChatGPT had existed at the start of Covid? Especially for data scientists who had to update their forecast models? The post What If I Had AI in 2020: Rent The Runway Dynamic Pricing…
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Silicon Valley Throws $100M at AI-Powered Mattress With a Subscription
Silicon Valley Throws $100M at AI-Powered Mattress With a Subscription The startup’s $500 million valuation shows Silicon Valley will throw money at AI-powered anything—even a high tech mattress. Jose Antonio Lanz Go to decrypt.co
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Google Unveils Pixel 10 Lineup With AI Features, New Watch and Earbuds
Google Unveils Pixel 10 Lineup With AI Features, New Watch and Earbuds Google’s new devices, shipping this month, claim to do a lot of what “Apple Intelligence” promised to do last year, but so far hasn’t. Jason Nelson Go to decrypt.co
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AI Agents for Supply Chain Optimisation: Production Planning
AI Agents for Supply Chain Optimisation: Production Planning How to integrate an optimisation algorithm in a FastAPI microservice and connect it with an AI workflow to automate production planning. The post AI Agents for Supply Chain Optimisation: Production Planning appeared first on Towards Data Science. Samir Saci Go to original source
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Smarter Model Tuning: An AI Agent with LangGraph + Streamlit That Boosts ML Performance
Smarter Model Tuning: An AI Agent with LangGraph + Streamlit That Boosts ML Performance Automating model tuning in Python with Gemini, LangGraph, and Streamlit for regression and classification improvements The post Smarter Model Tuning: An AI Agent with LangGraph + Streamlit That Boosts ML Performance appeared first on Towards Data Science. Gustavo Santos Go to…
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“Where’s Marta?”: How We Removed Uncertainty From AI Reasoning
“Where’s Marta?”: How We Removed Uncertainty From AI Reasoning A primer on overcoming LLM limitations with formal verification. The post “Where’s Marta?”: How We Removed Uncertainty From AI Reasoning appeared first on Towards Data Science. Jacopo Tagliabue Go to original source
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STAT+: Epic’s AI overhaul promises to address EHR headaches for clinicians and patients
STAT+: Epic’s AI overhaul promises to address EHR headaches for clinicians and patients VERONA, Wisc. — Epic CEO Judy Faulkner took to the stage at the company’s sci-fi-themed annual customer meeting Tuesday in a lavender wig, bright green glasses, and silver pants. In the spirit of “making science fiction science fact,” she announced several new…
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STAT+: AI provider tools will probably drive up health care costs. What?
STAT+: AI provider tools will probably drive up health care costs. What? 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’m at the Epic User Group Meeting in Wisconsin. I’m not allowed to…
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Capturing and Deploying PyTorch Models with torch.export
Capturing and Deploying PyTorch Models with torch.export A demonstration of PyTorch’s exciting new export feature on a HuggingFace model The post Capturing and Deploying PyTorch Models with torch.export appeared first on Towards Data Science. Chaim Rand Go to original source
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Claude Can Now Rage-Quit Your AI Conversation—For Its Own Mental Health
Claude Can Now Rage-Quit Your AI Conversation—For Its Own Mental Health Anthropic rolled out a feature letting its AI assistant terminate chats with abusive users, citing “AI welfare” concerns and sparking debates about digital consciousness. Jose Antonio Lanz Go to decrypt.co
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AI Agents Are Taking Over Game Development: Google
AI Agents Are Taking Over Game Development: Google The vast majority of game developers are using AI agents to cut costs, speed up production, and interact with players in real time, a Google study shows. Jason Nelson Go to decrypt.co
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Can LangExtract Turn Messy Clinical Notes into Structured Data?
Can LangExtract Turn Messy Clinical Notes into Structured Data? Turning raw clinical notes into structured entities with LLMs. The post Can LangExtract Turn Messy Clinical Notes into Structured Data? appeared first on Towards Data Science. Parul Pandey Go to original source
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Maximizing AI/ML Model Performance with PyTorch Compilation
Maximizing AI/ML Model Performance with PyTorch Compilation Since its inception in PyTorch 2.0 in March 2023, the evolution of torch.compile has been one of the most exciting things to follow. Given that PyTorch’s popularity was due to its “Pythonic” nature, its ease of use, and its line-by-line (a.k.a., eager) execution, the success of a just-in-time (JIT) graph…
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Apple’s Robot Plans Resurface—Here’s the Latest
Apple’s Robot Plans Resurface—Here’s the Latest Apple again is reportedly exploring AI-powered robots, including a tabletop assistant and a lifelike Siri upgrade. Jason Nelson Go to decrypt.co
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LangGraph 101: Let’s Build A Deep Research Agent
LangGraph 101: Let’s Build A Deep Research Agent Learn LangGraph fundamentals from Google’s open-source full-stack implementation The post LangGraph 101: Let’s Build A Deep Research Agent appeared first on Towards Data Science. Shuai Guo Go to original source
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What Does “Following Best Practices” Mean in the Age of AI?
What Does “Following Best Practices” Mean in the Age of AI? How data and ML practitioners should navigate a rapidly changing landscape The post What Does “Following Best Practices” Mean in the Age of AI? appeared first on Towards Data Science. TDS Editors Go to original source
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How to Use LLMs for Powerful Automatic Evaluations
How to Use LLMs for Powerful Automatic Evaluations A beginner-friendly introduction to LLM-as-a-Judge The post How to Use LLMs for Powerful Automatic Evaluations appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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Tips for Setting Expectations in AI Projects
Tips for Setting Expectations in AI Projects If you want your AI project to succeed, mastering expectation management comes first. When working with AI projets, uncertainty isn’t just a side effect, it can make or break the entire initiative. Most people impacted by AI projects don’t fully understand how AI works, or that errors are…
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A Bird’s-Eye View of Linear Algebra: Why Is Matrix Multiplication Like That?
A Bird’s-Eye View of Linear Algebra: Why Is Matrix Multiplication Like That? Since the way we manipulate high-dimensional vectors is primarily matrix multiplication, it isn’t a stretch to say it is the bedrock of the modern AI revolution. The post A Bird’s-Eye View of Linear Algebra: Why Is Matrix Multiplication Like That? appeared first on…
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STAT+: OpenAI can’t have it both ways on GPT-5 and health
STAT+: OpenAI can’t have it both ways on GPT-5 and health 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. Last week, I noticed that something had punched a hole through the roof overhang…
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CoreWeave Triples Revenue to $1.2B in Q2, Stock Tanks in After Hours Trade
CoreWeave Triples Revenue to $1.2B in Q2, Stock Tanks in After Hours Trade CoreWeave reported strong Q2 revenue, but profitability lagged and shares fell in after hours trading amid rising costs and thinner margins. Vince Dioquino Go to decrypt.co
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Coconut: A Framework for Latent Reasoning in LLMs
Coconut: A Framework for Latent Reasoning in LLMs Explaining Coconut (Training Large Language Models to Reason in a Continuous Latent Space) in simple terms The post Coconut: A Framework for Latent Reasoning in LLMs appeared first on Towards Data Science. Youssef Farag Go to original source
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A Refined Training Recipe for Fine-Grained Visual Classification
A Refined Training Recipe for Fine-Grained Visual Classification How FGVC aims to recognize images belonging to multiple subordinate categories of a super-category The post A Refined Training Recipe for Fine-Grained Visual Classification appeared first on Towards Data Science. Ahmed Belgacem Go to original source
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STAT+: As AI spreads through health care, is the technology degrading providers’ skills?
STAT+: As AI spreads through health care, is the technology degrading providers’ skills? The AI colonoscopy tool rolled out across four health centers. As endoscopists snaked a camera through patients’ large intestines, the algorithm would draw a square around precancerous polyps known as adenomas. The more adenomas detected and removed, the less likely the patient…
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From Genes to Neural Networks: Understanding and Building NEAT (Neuro-Evolution of Augmenting Topologies) from Scratch
From Genes to Neural Networks: Understanding and Building NEAT (Neuro-Evolution of Augmenting Topologies) from Scratch Practical Neuroevolution: Reproducing NEAT’s Innovations and Code Walkthrough The post From Genes to Neural Networks: Understanding and Building NEAT (Neuro-Evolution of Augmenting Topologies) from Scratch appeared first on Towards Data Science. Carlos Redondo Go to original source
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LangGraph + SciPy: Building an AI That Reads Documentation and Makes Decisions
LangGraph + SciPy: Building an AI That Reads Documentation and Makes Decisions Stop guessing your statistical test. Let this AI do it for you. The post LangGraph + SciPy: Building an AI That Reads Documentation and Makes Decisions appeared first on Towards Data Science. Gustavo Santos Go to original source
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Bumps in the Machine: OpenAI’s GPT-5 Rollout Stumbles Into the Spotlight
Bumps in the Machine: OpenAI’s GPT-5 Rollout Stumbles Into the Spotlight Users say GPT-5 is slower, less engaging, and prone to errors despite OpenAI’s lofty promises. Jason Nelson Go to decrypt.co
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How to Write Insightful Technical Articles
How to Write Insightful Technical Articles Learn how to write informative technical articles The post How to Write Insightful Technical Articles appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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Agentic AI: On Evaluations
Agentic AI: On Evaluations Metrics to track for RAG and agents, plus the frameworks that help The post Agentic AI: On Evaluations appeared first on Towards Data Science. Ida Silfverskiöld Go to original source
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Apple Seeks Pivot on AI as It Pours Additional $100B Into US
Apple Seeks Pivot on AI as It Pours Additional $100B Into US Apple pledged an extra $100 billion to U.S. manufacturing as Trump threatens tariffs on foreign-made chips. Jason Nelson Go to decrypt.co
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Lawmakers Call for Inquiry Into China’s DeepSeek Over National Security, Data Risks
Lawmakers Call for Inquiry Into China’s DeepSeek Over National Security, Data Risks Seven Republican senators are urging the Commerce Department to investigate whether open-source models like DeepSeek’s R1 pose risks. Vince Dioquino Go to decrypt.co
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The MCP Security Survival Guide: Best Practices, Pitfalls, and Real-World Lessons
The MCP Security Survival Guide: Best Practices, Pitfalls, and Real-World Lessons Unless you’re someone who lives and breathes cybersecurity, chances are you didn’t think much about authentication, network exposure, or what happens if someone else finds your server. This guide isn’t here to kill the excitement—it’s here to help you use MCP without opening the…
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How I Won the “Mostly AI” Synthetic Data Challenge
How I Won the “Mostly AI” Synthetic Data Challenge A deep dive into how post-processing can supercharge synthetic data generation The post How I Won the “Mostly AI” Synthetic Data Challenge appeared first on Towards Data Science. Daniel Gärber Go to original source
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InfiniBand vs RoCEv2: Choosing the Right Network for Large-Scale AI
InfiniBand vs RoCEv2: Choosing the Right Network for Large-Scale AI Learn how InfiniBand and RoCEv2 enable high-speed GPU communication The post InfiniBand vs RoCEv2: Choosing the Right Network for Large-Scale AI appeared first on Towards Data Science. Shireesh Kumar Singh Go to original source
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How a Research Lab Made Entirely of LLM Agents Developed Molecules That Can Block a Virus
How a Research Lab Made Entirely of LLM Agents Developed Molecules That Can Block a Virus Welcome to the 21st century by the hand of large language models and reasoning AI agents The post How a Research Lab Made Entirely of LLM Agents Developed Molecules That Can Block a Virus appeared first on Towards Data…
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Hands-On with Agents SDK: Multi-Agent Collaboration
Hands-On with Agents SDK: Multi-Agent Collaboration Explore the handoff and agents-as-tools patterns, their use cases, and how to customize them using OpenAI Agents SDK and Streamlit. The post Hands-On with Agents SDK: Multi-Agent Collaboration appeared first on Towards Data Science. Iqbal Rahmadhan Go to original source
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AI Trading Bots Are Booming—But Can You Trust Them With Your Money?
AI Trading Bots Are Booming—But Can You Trust Them With Your Money? From Reddit thrill-seekers to Goldman Sachs trading desks, everyone’s testing AI chatbots to pick stocks. One teen’s 24% return went viral, but pros say proceed with extreme caution. Jose Antonio Lanz Go to decrypt.co
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Mastering NLP with spaCy – Part 2
Mastering NLP with spaCy – Part 2 POS tagging, dependency parser and named entity recognition. The post Mastering NLP with spaCy – Part 2 appeared first on Towards Data Science. Marcello Politi Go to original source
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How Computers “See” Molecules
How Computers “See” Molecules Generative Molecular Design (Part 1): common molecular representations in data science. The post How Computers “See” Molecules appeared first on Towards Data Science. Tianyuan Zheng Go to original source
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When Models Stop Listening: How Feature Collapse Quietly Erodes Machine Learning Systems
When Models Stop Listening: How Feature Collapse Quietly Erodes Machine Learning Systems Models don’t just fail with noise; they fail in silence, by narrowing their attention to the point of fragility. The post When Models Stop Listening: How Feature Collapse Quietly Erodes Machine Learning Systems appeared first on Towards Data Science. Mahe Jabeen Abdul Go…
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How to Benchmark LLMs – ARC AGI 3
How to Benchmark LLMs – ARC AGI 3 Learn how to LLMs are benchmarked, and try out the newly released ARC AGI 3 The post How to Benchmark LLMs – ARC AGI 3 appeared first on Towards Data Science. Eivind Kjosbakken Go to original source