No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent? Conventional comparison learning, designed to help AI understand human preferences, ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...

DeepSeek’s latest training research arrives at a moment when the cost of building frontier models is starting to choke off ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic reinforcement-learning environments to train more reliable AI agents for complex, ...

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

AI coding tools are getting better fast. If you don’t work in code, it can be hard to notice how much things are changing, but GPT-5 and Gemini 2.5 have made a whole new set of developer tricks ...

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

China is weighing new controls on AI training, requiring consent before chat logs can be used to improve chatbots and virtual ...

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...