Category: artificial-intelligence
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Hong Kong Cardinal Calls AI a ‘Gift From God’ as Asian Bishops Mull Ethical Challenges
Hong Kong Cardinal Calls AI a ‘Gift From God’ as Asian Bishops Mull Ethical Challenges Regional church leaders met to establish guidelines for the use of AI in ministry, education, and content. Jason Nelson Go to decrypt.co
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The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel
The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel DBSCAN shows how far we can go with a very simple idea: count how many neighbors live close to each point. It finds clusters and marks anomalies without any probabilistic model, and it works beautifully in Excel. But because it relies on one fixed radius,…
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Don’t Build an ML Portfolio Without These Projects
Don’t Build an ML Portfolio Without These Projects What recruiters are looking for in machine learning portfolios The post Don’t Build an ML Portfolio Without These Projects appeared first on Towards Data Science. Egor Howell Go to original source
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Optimizing PyTorch Model Inference on AWS Graviton
Optimizing PyTorch Model Inference on AWS Graviton Tips for accelerating AI/ML on CPU — Part 2 The post Optimizing PyTorch Model Inference on AWS Graviton appeared first on Towards Data Science. Chaim Rand Go to original source
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STAT+: Top HHS official evades discussing Trump plan to block state AI laws
STAT+: Top HHS official evades discussing Trump plan to block state AI laws WASHINGTON — During wide-ranging comments on technology Wednesday, deputy health secretary Jim O’Neill demurred when asked about a controversial proposal to prevent states from enforcing local artificial intelligence laws. “I’ll evade, if that’s alright,” said O’Neill. President Trump on Monday indicated in…
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AI Political Chatbots Can Sway Voters, New Research Finds
AI Political Chatbots Can Sway Voters, New Research Finds The studies found policy-focused chatbot messages were more persuasive and that persuasion often rose alongside uneven inaccuracies. Jason Nelson Go to decrypt.co
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US Tech Giants Unite to Battle China’s Open-Source AI Dominance
US Tech Giants Unite to Battle China’s Open-Source AI Dominance Anthropic and OpenAI donate key protocols to Linux Foundation as China overtakes US in open-source AI downloads. Jose Antonio Lanz Go to decrypt.co
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The Machine Learning “Advent Calendar” Day 9: LOF in Excel
The Machine Learning “Advent Calendar” Day 9: LOF in Excel In this article, we explore LOF through three simple steps: distances and neighbors, reachability distances, and the final LOF score. Using tiny datasets, we see how two anomalies can look obvious to us but completely different to different algorithms. This reveals the key idea of…
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Personal, Agentic Assistants: A Practical Blueprint for a Secure, Multi-User, Self-Hosted Chatbot
Personal, Agentic Assistants: A Practical Blueprint for a Secure, Multi-User, Self-Hosted Chatbot Build a self-hosted, end-to-end platform that gives each user a personal, agentic chatbot that can autonomously vector-search through files that the user explicitly allows it to access. The post Personal, Agentic Assistants: A Practical Blueprint for a Secure, Multi-User, Self-Hosted Chatbot appeared first…
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How to Develop AI-Powered Solutions, Accelerated by AI
How to Develop AI-Powered Solutions, Accelerated by AI From idea to impact : using AI as your accelerating copilot The post How to Develop AI-Powered Solutions, Accelerated by AI appeared first on Towards Data Science. Anna Via Go to original source
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A Realistic Roadmap to Start an AI Career in 2026
A Realistic Roadmap to Start an AI Career in 2026 How to learn AI in 2026 through real, usable projects The post A Realistic Roadmap to Start an AI Career in 2026 appeared first on Towards Data Science. Sabrine Bendimerad Go to original source
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ChatGPT Helps Expose a $1 Million Crypto ‘Pig-Butchering’ Scam
ChatGPT Helps Expose a $1 Million Crypto ‘Pig-Butchering’ Scam An online romance led a Bay Area woman to drain her retirement accounts, only for an AI assistant to later warn her it was a scam. Jason Nelson Go to decrypt.co
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Bridging the Silence: How LEO Satellites and Edge AI Will Democratize Connectivity
Bridging the Silence: How LEO Satellites and Edge AI Will Democratize Connectivity Why on-device intelligence and low-orbit constellations are the only viable path to universal accessibility The post Bridging the Silence: How LEO Satellites and Edge AI Will Democratize Connectivity appeared first on Towards Data Science. Aakash Goswami Go to original source
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The Machine Learning “Advent Calendar” Day 8: Isolation Forest in Excel
The Machine Learning “Advent Calendar” Day 8: Isolation Forest in Excel Isolation Forest may look technical, but its idea is simple: isolate points using random splits. If a point is isolated quickly, it is an anomaly; if it takes many splits, it is normal. Using the tiny dataset 1, 2, 3, 9, we can see…
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The AI Bubble Will Pop — And Why That Doesn’t Matter
The AI Bubble Will Pop — And Why That Doesn’t Matter How history’s biggest tech bubble explains where AI is headed next The post The AI Bubble Will Pop — And Why That Doesn’t Matter appeared first on Towards Data Science. Michael Malin Go to original source
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Optimizing PyTorch Model Inference on CPU
Optimizing PyTorch Model Inference on CPU Flyin’ Like a Lion on Intel Xeon The post Optimizing PyTorch Model Inference on CPU appeared first on Towards Data Science. Chaim Rand Go to original source
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The Machine Learning “Advent Calendar” Day 7: Decision Tree Classifier
The Machine Learning “Advent Calendar” Day 7: Decision Tree Classifier In Day 6, we saw how a Decision Tree Regressor finds its optimal split by minimizing the Mean Squared Error. Today, for Day 7 of the Machine Learning “Advent Calendar”, we switch to classification. With just one numerical feature and two classes, we explore how…
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Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI — Clearly Explained
Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI — Clearly Explained Understanding AI in 2026 — from machine learning to generative models The post Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI — Clearly Explained appeared first on Towards Data Science. Sabrine Bendimerad Go to original source
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Reading Research Papers in the Age of LLMs
Reading Research Papers in the Age of LLMs How I keep up with papers with a mix of manual and AI-assisted reading The post Reading Research Papers in the Age of LLMs appeared first on Towards Data Science. Parul Pandey Go to original source
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The Machine Learning “Advent Calendar” Day 6: Decision Tree Regressor
The Machine Learning “Advent Calendar” Day 6: Decision Tree Regressor During the first days of this Machine Learning Advent Calendar, we explored models based on distances. Today, we switch to a completely different way of learning: Decision Trees. With a simple one-feature dataset, we can see how a tree chooses its first split. The idea…
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How We Are Testing Our Agents in Dev
How We Are Testing Our Agents in Dev Testing that your AI agent is performing as expected is not easy. Here are a few strategies we learned the hard way. The post How We Are Testing Our Agents in Dev appeared first on Towards Data Science. Michael Segner Go to original source
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The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor
The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor Cursor is great at writing code but not as good when it comes to design The post The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor appeared first on Towards Data Science. Soner Yıldırım Go to…
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The Machine Learning “Advent Calendar” Day 5: GMM in Excel
The Machine Learning “Advent Calendar” Day 5: GMM in Excel This article introduces the Gaussian Mixture Model as a natural extension of k-Means, by improving how distance is measured through variances and the Mahalanobis distance. Instead of assigning points to clusters with hard boundaries, GMM uses probabilities learned through the Expectation–Maximization algorithm – the general…
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YOLOv1 Paper Walkthrough: The Day YOLO First Saw the World
YOLOv1 Paper Walkthrough: The Day YOLO First Saw the World A detailed walkthrough of the YOLOv1 architecture and its PyTorch implementation from scratch The post YOLOv1 Paper Walkthrough: The Day YOLO First Saw the World appeared first on Towards Data Science. Muhammad Ardi Go to original source
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On the Challenge of Converting TensorFlow Models to PyTorch
On the Challenge of Converting TensorFlow Models to PyTorch How to upgrade and optimize legacy AI/ML models The post On the Challenge of Converting TensorFlow Models to PyTorch appeared first on Towards Data Science. Chaim Rand Go to original source
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STAT+: In radiology, an early adopter of AI, technology is advancing faster than the field can keep up
STAT+: In radiology, an early adopter of AI, technology is advancing faster than the field can keep up In the massive demonstration arena of Chicago’s McCormick Place conference complex this week, hundreds of computer monitors lit up with every body part and radiological image: fractures in X-rays, breast cancer in mammograms, brain atrophy in MRIs,…
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Do Labels Make AI Blind? Self-Supervision Solves the Age-Old Binding Problem
Do Labels Make AI Blind? Self-Supervision Solves the Age-Old Binding Problem A new NeurIPS 2025 paper shows how self-supervised learning imbues ViT with better image understanding than supervised learning The post Do Labels Make AI Blind? Self-Supervision Solves the Age-Old Binding Problem appeared first on Towards Data Science. Jonathan Williford Go to original source
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The Machine Learning “Advent Calendar” Day 4: k-Means in Excel
The Machine Learning “Advent Calendar” Day 4: k-Means in Excel How to implement a training algorithm that finally looks like “real” machine learning The post The Machine Learning “Advent Calendar” Day 4: k-Means in Excel appeared first on Towards Data Science. angela shi Go to original source
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The Architecture Behind Web Search in AI Chatbots
The Architecture Behind Web Search in AI Chatbots And what this means for generative engine optimization (GEO) The post The Architecture Behind Web Search in AI Chatbots appeared first on Towards Data Science. Ida Silfverskiöld Go to original source
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Overcoming the Hidden Performance Traps of Variable-Shaped Tensors: Efficient Data Sampling in PyTorch
Overcoming the Hidden Performance Traps of Variable-Shaped Tensors: Efficient Data Sampling in PyTorch PyTorch Model Performance Analysis and Optimization — Part 11 The post Overcoming the Hidden Performance Traps of Variable-Shaped Tensors: Efficient Data Sampling in PyTorch appeared first on Towards Data Science. Chaim Rand Go to original source
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The Machine Learning “Advent Calendar” Day 3: GNB, LDA and QDA in Excel
The Machine Learning “Advent Calendar” Day 3: GNB, LDA and QDA in Excel From local distance to global probability The post The Machine Learning “Advent Calendar” Day 3: GNB, LDA and QDA in Excel appeared first on Towards Data Science. angela shi Go to original source
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How to Turn Your LLM Prototype into a Production-Ready System
How to Turn Your LLM Prototype into a Production-Ready System The most famous applications of LLMs are the ones that I like to call the “wow effect LLMs.” There are plenty of viral LinkedIn posts about them, and they all sound like this: “I built [x] that does [y] in [z] minutes using AI.” Where:…
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Multi-Agent Arena: Insights from London Great Agent Hack 2025
Multi-Agent Arena: Insights from London Great Agent Hack 2025 What mattered: robust agents, glass-box reasoning, and red-team resilience The post Multi-Agent Arena: Insights from London Great Agent Hack 2025 appeared first on Towards Data Science. Erika G. Gonçalves Go to original source
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STAT+: AI scribe clinical trial results are here. What do they actually reveal?
STAT+: AI scribe clinical trial results are here. What do they actually reveal? 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. Two things of note: Submit your 2025 health AI bingo vote and…
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Anthropic Starts Early IPO Prep Ahead of Possible 2026 Debut: Report
Anthropic Starts Early IPO Prep Ahead of Possible 2026 Debut: Report Anthropic is reportedly exploring a public market debut while chasing a new funding round that could push its valuation past $300 billion. Vince Dioquino Go to decrypt.co
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The Machine Learning “Advent Calendar” Day 2: k-NN Classifier in Excel
The Machine Learning “Advent Calendar” Day 2: k-NN Classifier in Excel Exploring the k-NN classifier with its variants and improvements The post The Machine Learning “Advent Calendar” Day 2: k-NN Classifier in Excel appeared first on Towards Data Science. angela shi Go to original source
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China’s Z-Image Dethrones Flux as King of AI Art—And Your Potato PC Can Run It
China’s Z-Image Dethrones Flux as King of AI Art—And Your Potato PC Can Run It The six-billion-parameter model is beating Flux2 on hardware from 2019, and the open-source community is going wild. Jose Antonio Lanz Go to decrypt.co
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Frontier AI Models Demonstrate Human-Level Capability in Smart Contract Exploits
Frontier AI Models Demonstrate Human-Level Capability in Smart Contract Exploits New analysis showed models including Claude Opus and GPT-5 uncovered millions in simulated vulnerabilities across blockchains. Jason Nelson Go to decrypt.co
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The Problem with AI Browsers: Security Flaws and the End of Privacy
The Problem with AI Browsers: Security Flaws and the End of Privacy How Atlas and most current AI-powered browsers fail on three aspects: privacy, security, and censorship The post The Problem with AI Browsers: Security Flaws and the End of Privacy appeared first on Towards Data Science. Mike Huls Go to original source
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Why AI Alignment Starts With Better Evaluation
Why AI Alignment Starts With Better Evaluation You can’t align what you don’t evaluate The post Why AI Alignment Starts With Better Evaluation appeared first on Towards Data Science. Hailey Quach Go to original source
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STAT+: FDA offers staff ‘agentic AI’ to support premarket reviews, administrative tasks
STAT+: FDA offers staff ‘agentic AI’ to support premarket reviews, administrative tasks The Food and Drug Administration on Monday announced plans to offer its employees a broader set of artificial intelligence tools to use in premarket reviews and for other purposes amid persistent concerns that the technology can behave unpredictably. The agency touts in a…
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I Made an AI Speak Every Century of English—It Ended With a Message From the Year 15,000
I Made an AI Speak Every Century of English—It Ended With a Message From the Year 15,000 I pushed a chatbot through several millennia of linguistic evolution. An AI from the year 5000 lectured me about pronouns. Jose Antonio Lanz Go to decrypt.co
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The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint
The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint Opening the black box of ML models, step by step, directly in Excel The post The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint appeared first on Towards Data Science. angela shi Go to original source
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OpenAI Confirms Data Breach—Here’s Who Is Impacted
OpenAI Confirms Data Breach—Here’s Who Is Impacted OpenAI said a Mixpanel breach exposed API user metadata—and urged customers to watch for phishing attacks. Jason Nelson Go to decrypt.co
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Data Science in 2026: Is It Still Worth It?
Data Science in 2026: Is It Still Worth It? An honest view from a 10-year AI Engineer The post Data Science in 2026: Is It Still Worth It? appeared first on Towards Data Science. Sabrine Bendimerad Go to original source
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The Product Health Score: How I Reduced Critical Incidents by 35% with Unified Monitoring and n8n Automation
The Product Health Score: How I Reduced Critical Incidents by 35% with Unified Monitoring and n8n Automation How product, growth and engineering teams can converge on a single signal for better incident management The post The Product Health Score: How I Reduced Critical Incidents by 35% with Unified Monitoring and n8n Automation appeared first on…
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Neural Networks Are Blurry, Symbolic Systems Are Fragmented. Sparse Autoencoders Help Us Combine Them.
Neural Networks Are Blurry, Symbolic Systems Are Fragmented. Sparse Autoencoders Help Us Combine Them. Neural and symbolic models compress the world in fundamentally different ways, and Sparse Autoencoders (SAEs) offer a bridge to connect them. The post Neural Networks Are Blurry, Symbolic Systems Are Fragmented. Sparse Autoencoders Help Us Combine Them. appeared first on Towards…
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Water Cooler Small Talk, Ep. 10: So, What About the AI Bubble?
Water Cooler Small Talk, Ep. 10: So, What About the AI Bubble? Have we all been tricked into believing in an impossible, extremely expensive future? The post Water Cooler Small Talk, Ep. 10: So, What About the AI Bubble? appeared first on Towards Data Science. Maria Mouschoutzi Go to original source
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Everyday Decisions are Noisier Than You Think — Here’s How AI Can Help Fix That
Everyday Decisions are Noisier Than You Think — Here’s How AI Can Help Fix That From insurance premiums to courtrooms: the impact of noise The post Everyday Decisions are Noisier Than You Think — Here’s How AI Can Help Fix That appeared first on Towards Data Science. Sean Moran Go to original source
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RISAT’s Silent Promise: Decoding Disasters with Synthetic Aperture Radar
RISAT’s Silent Promise: Decoding Disasters with Synthetic Aperture Radar The high-resolution physics turning microwave echoes into real-time flood intelligence The post RISAT’s Silent Promise: Decoding Disasters with Synthetic Aperture Radar appeared first on Towards Data Science. Aakash Goswami Go to original source
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STAT+: Patients are already using AI. How can the health care system help?
STAT+: Patients are already using AI. How can the health care system help? 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. Happy Thanksgiving! This year, I’m grateful for all the cool things I…
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Ten Lessons of Building LLM Applications for Engineers
Ten Lessons of Building LLM Applications for Engineers Practical field notes on workflows, structure, and evaluation from two years of building with engineering domain experts. The post Ten Lessons of Building LLM Applications for Engineers appeared first on Towards Data Science. Shuai Guo Go to original source
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Musk Says Real-World Data From X and Tesla to Drive AGI Efforts
Musk Says Real-World Data From X and Tesla to Drive AGI Efforts SpaceX’s CEO, Elon Musk, said Tesa’s fleet and X’s live data are providing him with training inputs that competitors lack. Jason Nelson Go to decrypt.co
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A Hands-On Guide to Anthropic’s New Structured Output Capabilities
A Hands-On Guide to Anthropic’s New Structured Output Capabilities A developer’s guide to perfect JSON and typed outputs from Claude Sonnet 4.5 and Opus 4.1 The post A Hands-On Guide to Anthropic’s New Structured Output Capabilities appeared first on Towards Data Science. Thomas Reid Go to original source
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LLM-as-a-Judge: What It Is, Why It Works, and How to Use It to Evaluate AI Models
LLM-as-a-Judge: What It Is, Why It Works, and How to Use It to Evaluate AI Models A step-by-step guide to building AI quality control using large language models The post LLM-as-a-Judge: What It Is, Why It Works, and How to Use It to Evaluate AI Models appeared first on Towards Data Science. Piero Paialunga Go…
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Your Next ‘Large’ Language Model Might Not Be Large After All
Your Next ‘Large’ Language Model Might Not Be Large After All A 27M-parameter model just outperformed giants like DeepSeek R1, o3-mini, and Claude 3.7 on reasoning tasks The post Your Next ‘Large’ Language Model Might Not Be Large After All appeared first on Towards Data Science. Moulik Gupta Go to original source
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Group Asks Federal Agency to Halt Use of Elon Musk’s Grok AI Amid Racism Concerns
Group Asks Federal Agency to Halt Use of Elon Musk’s Grok AI Amid Racism Concerns Analysis showed Grok citing extremist sites as credible sources, raising another red flag after the AI’s earlier “MechaHitler” incident. Jason Nelson Go to decrypt.co
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Generative AI Will Redesign Cars, But Not the Way Automakers Think
Generative AI Will Redesign Cars, But Not the Way Automakers Think Traditional manufacturers are using revolutionary technology for incremental optimization instead of fundamental re-imagination The post Generative AI Will Redesign Cars, But Not the Way Automakers Think appeared first on Towards Data Science. Nishant Arora Go to original source
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TDS Newsletter: How to Build Robust Data and AI Systems
TDS Newsletter: How to Build Robust Data and AI Systems Many practitioners like to jump headfirst into the nitty-gritty details of implementing AI-powered tools. We get it: tinkering your way into a solution can sometimes save you time, and it’s often a fun way to go about learning. As the articles we’re highlighting this week show,…
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Google Sparks Backlash After Gmail Setting Lets Gemini Peek Inside Inboxes
Google Sparks Backlash After Gmail Setting Lets Gemini Peek Inside Inboxes Google has faced criticism after a buried setting allowed Gemini to scan inboxes and calendars without clear notice to users. Jason Nelson Go to decrypt.co
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How to Use Gemini 3 Pro Efficiently
How to Use Gemini 3 Pro Efficiently Learn the pros and cons of Gemini 3 Pro, from testing with both coding and console usage The post How to Use Gemini 3 Pro Efficiently appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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How Relevance Models Foreshadowed Transformers for NLP
How Relevance Models Foreshadowed Transformers for NLP Tracing the history of LLM attention: standing on the shoulders of giants The post How Relevance Models Foreshadowed Transformers for NLP appeared first on Towards Data Science. Sean Moran Go to original source
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Why I’m Making the Switch to marimo Notebooks
Why I’m Making the Switch to marimo Notebooks A fresh way to think about computational notebooks The post Why I’m Making the Switch to marimo Notebooks appeared first on Towards Data Science. Parul Pandey Go to original source
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Trump Eyes Executive Order to Rein In Patchwork State AI Policies
Trump Eyes Executive Order to Rein In Patchwork State AI Policies The White House is pushing for a federal framework as Hill Republicans explore attaching a moratorium to the defense bill. Vismaya V Go to decrypt.co
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Making Smarter Bets: Towards a Winning AI Strategy with Probabilistic Thinking
Making Smarter Bets: Towards a Winning AI Strategy with Probabilistic Thinking Practical guidance on identifying opportunities, managing product portfolios, and overcoming behavioral biases The post Making Smarter Bets: Towards a Winning AI Strategy with Probabilistic Thinking appeared first on Towards Data Science. Chinmay Kakatkar Go to original source
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STAT+: FDA approval for AI isn’t working. What about medical licenses instead?
STAT+: FDA approval for AI isn’t working. What about medical licenses instead? 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. Do you wish your group chat could discuss both the latest Olivia Nuzzi…
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STAT+: Wellness startup Function Health raises $300 million as consumer lab testing picks up steam
STAT+: Wellness startup Function Health raises $300 million as consumer lab testing picks up steam Function Health, which offers its members nutrition, supplement, and other lifestyle guidance based on lab tests and body scans, announced on Wednesday $298 million in new funding with plans to add artificial intelligence features to help with the interpretation of…
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Why LLMs Aren’t a One-Size-Fits-All Solution for Enterprises
Why LLMs Aren’t a One-Size-Fits-All Solution for Enterprises LLMs are a seamless way to find value in your unstructured data, but the truth is, there is so much more value hidden within your structured data. This post explores what LLMs are (and aren’t) optimized for and how the industry is approaching AI over structured business…
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Introducing Google’s File Search Tool
Introducing Google’s File Search Tool The search giant fires its latest salvo against traditional RAG processing. The post Introducing Google’s File Search Tool appeared first on Towards Data Science. Thomas Reid Go to original source
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Survey of AI Founders Predicts Perplexity is the AI Giant Most Likely to Fail
Survey of AI Founders Predicts Perplexity is the AI Giant Most Likely to Fail Perplexity’s growing stack of lawsuits and scraping allegations added fuel to the skepticism voiced by founders and investors last week. Jose Antonio Lanz Go to decrypt.co
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Google Unveils New AI Weather Model With Faster, More Accurate Forecasts
Google Unveils New AI Weather Model With Faster, More Accurate Forecasts Google WeatherNext 2 AI-powered Forecasts now support Search, Gemini, Pixel Weather, and Maps weather tools. Jason Nelson Go to decrypt.co
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Running Your Own Local Open-Source AI Model Is Easy—Here’s How
Running Your Own Local Open-Source AI Model Is Easy—Here’s How Local AI models offer privacy and zero subscription costs, letting you run powerful models completely offline. Here’s how to start. Jose Antonio Lanz Go to decrypt.co
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Opinion: I spent two hours telling a chatbot about mental health problems. Its responses scared me
Opinion: I spent two hours telling a chatbot about mental health problems. Its responses scared me A version of this essay first appeared on the website of the U.S. PIRG Education Fund. With the rise of ChatGPT and social media companies like Snapchat and Instagram integrating AI chatbots into their platforms, conversing with an AI…
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‘Demonic’: AI App That Lets Users ‘Talk’ to Dead Loved Ones Faces Backlash
‘Demonic’: AI App That Lets Users ‘Talk’ to Dead Loved Ones Faces Backlash 2Wai’s new “HoloAvatar” tool turns minutes of footage into lifelike replicas of deceased loved ones, igniting ethical alarms over consent, privacy, and the commercialization of grief. Josh Quittner Go to decrypt.co
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How to Crack Machine Learning System-Design Interviews
How to Crack Machine Learning System-Design Interviews A comprehensive guide into Meta, Apple, Reddit, Amazon, Google, and Snap ML design interviews The post How to Crack Machine Learning System-Design Interviews appeared first on Towards Data Science. Aliaksei Mikhailiuk Go to original source
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Music, Lyrics, and Agentic AI: Building a Smart Song Explainer using Python and OpenAI
Music, Lyrics, and Agentic AI: Building a Smart Song Explainer using Python and OpenAI This is how to build an AI-powered Song Explainer using Python and OpenAI The post Music, Lyrics, and Agentic AI: Building a Smart Song Explainer using Python and OpenAI appeared first on Towards Data Science. Piero Paialunga Go to original source
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Critical Mistakes Companies Make When Integrating AI/ML into Their Processes
Critical Mistakes Companies Make When Integrating AI/ML into Their Processes What I’ve learned leading AI teams across industries The post Critical Mistakes Companies Make When Integrating AI/ML into Their Processes appeared first on Towards Data Science. Andrey Chubin Go to original source
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Deploy Your AI Assistant to Monitor and Debug n8n Workflows Using Claude and MCP
Deploy Your AI Assistant to Monitor and Debug n8n Workflows Using Claude and MCP Use Claude AI to monitor, analyse, and troubleshoot your n8n automation workflows through natural conversation. The post Deploy Your AI Assistant to Monitor and Debug n8n Workflows Using Claude and MCP appeared first on Towards Data Science. Samir Saci Go to…
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How to Evaluate Retrieval Quality in RAG Pipelines (Part 3): DCG@k and NDCG@k
How to Evaluate Retrieval Quality in RAG Pipelines (Part 3): DCG@k and NDCG@k The third and final part for evaluating the retrieval quality of your RAG pipeline with graded measures The post How to Evaluate Retrieval Quality in RAG Pipelines (Part 3): DCG@k and NDCG@k appeared first on Towards Data Science. Maria Mouschoutzi Go to…
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Feature Detection, Part 2: Laplace & Gaussian Operators
Feature Detection, Part 2: Laplace & Gaussian Operators Laplace meets Gaussian — the story of two operators in edge detection The post Feature Detection, Part 2: Laplace & Gaussian Operators appeared first on Towards Data Science. Vyacheslav Efimov Go to original source
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STAT+: The real story behind AI water usage
STAT+: The real story behind AI water usage 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. As you’ll see, AI Prognosis looks a little different today because I’ve been busy attending and traveling…
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Matthew McConaughey, Michael Caine Team Up With ElevenLabs to Recreate Their Voices Using AI
Matthew McConaughey, Michael Caine Team Up With ElevenLabs to Recreate Their Voices Using AI While some Hollywood stars license their voices to AI platforms, others threaten lawsuits and condemn the technology. Vismaya V Go to decrypt.co
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User Revolt Erupts on X as Character AI Quit Posts Go Viral
User Revolt Erupts on X as Character AI Quit Posts Go Viral User defections from Character.AI surged after a viral screenshot highlighted the app’s emotionally charged account-deletion prompt. Jason Nelson Go to decrypt.co
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The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example)
The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example) A practical use case to describe how the data scientist job changed across three generations of machine learning The post The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning,…
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AI Hype: Don’t Overestimate the Impact of AI
AI Hype: Don’t Overestimate the Impact of AI Targeting moonshots instead of trolleys The post AI Hype: Don’t Overestimate the Impact of AI appeared first on Towards Data Science. Pascal Janetzky Go to original source
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The 5 Hottest AI-Powered Side Hustles That Actually Seem Plausible
The 5 Hottest AI-Powered Side Hustles That Actually Seem Plausible From “faceless” YouTube channels to AI-generated product demos, 2025’s hottest “hour-a-day” hustles promise easy money—but success still takes testing, luck, and a lot of automation. Josh Quittner Go to decrypt.co
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OpenAI Sought Government Loan Guarantees Days Before Sam Altman’s Denial
OpenAI Sought Government Loan Guarantees Days Before Sam Altman’s Denial OpenAI’s letter to the White House requested federal loan guarantees for AI infrastructure, contradicting CEO Sam Altman’s claim that the company doesn’t want government support. Jose Antonio Lanz Go to decrypt.co
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Microsoft Apologizes to Australian 365 Users on AI Pricing, Offers Refund
Microsoft Apologizes to Australian 365 Users on AI Pricing, Offers Refund The apology arrives 10 days after Australia’s competition watchdog sued the tech giant for allegedly concealing cheaper alternatives. Vismaya V Go to decrypt.co
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Google Threat Report Links AI-powered Malware to DPRK Crypto Theft
Google Threat Report Links AI-powered Malware to DPRK Crypto Theft New research from Google’s threat unit shows hackers are using LLMs to mutate malware and study how to steal from crypto wallets. Vince Dioquino Go to decrypt.co
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Expected Value Analysis in AI Product Management
Expected Value Analysis in AI Product Management An introduction to key concepts and practical applications The post Expected Value Analysis in AI Product Management appeared first on Towards Data Science. Chinmay Kakatkar Go to original source
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The Reinforcement Learning Handbook: A Guide to Foundational Questions
The Reinforcement Learning Handbook: A Guide to Foundational Questions Simplifying all the concepts required to master reinforcement learning The post The Reinforcement Learning Handbook: A Guide to Foundational Questions appeared first on Towards Data Science. Avishek Biswas Go to original source
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Multi-Agent SQL Assistant, Part 2: Building a RAG Manager
Multi-Agent SQL Assistant, Part 2: Building a RAG Manager A hands-on guide to comparing multiple RAG strategies — Keyword, FAISS, and Chroma The post Multi-Agent SQL Assistant, Part 2: Building a RAG Manager appeared first on Towards Data Science. Alle Sravani Go to original source
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We Didn’t Invent Attention — We Just Rediscovered It
We Didn’t Invent Attention — We Just Rediscovered It How selective amplification emerged across evolution, chemistry, and AI through convergent mathematical solutions The post We Didn’t Invent Attention — We Just Rediscovered It appeared first on Towards Data Science. Javier Marin Go to original source