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

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

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, ...

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

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 ...

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

AI deception is an ugly mirror of the human mind. In teaching machines to think, we're being forced to think more clearly ...

Meet NVIDIA Nitrogen, a generalist gaming agent trained on 40,000 hours of video, so you can understand how imitation learning scales.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

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

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

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...