From affordability to sustainability — how economic shifts, technology, and culture are driving the resurgence of the ...

AI is a class of methods capable of solving tasks at or beyond human capabilities, without requiring real-time human input or hand-crafted decision rules. Within this definition, we can identify two ...

Perplexity AI CEO Aravind Srinivas has revealed a piece of career advice he once received from Sam Altman, a lesson he says played a key role in shaping his confidence in machine learning and ...

For at least a decade, much of the must-have cybersecurity tools available have been powered by machine learning, predictive analytics, and pattern recognition—subsets of the broader bucket of ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Free AI tools Goose and Qwen3-coder may replace a pricey Claude Code plan. Setup is straightforward but requires a powerful local machine. Early tests show promise, though issues remain with accuracy ...

TL;DR: Tesla has placed its lane-centering Autosteer feature behind a $99/month Full Self-Driving (FSD) subscription, ending free Basic Autopilot after seven years. This move aims to boost FSD ...

Choose your path! This repository prepares you for multiple ML/AI careers. Select your target role to see a customized learning path: Role Focus Est. Time Key Modules ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

AI has become the control plane of financial services, shaping fraud decisions, AML alerts, credit limits, pricing strategies and collections. Yet many banks and fintechs still view these systems as ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...