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

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

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 ...

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, ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Humanoid robots have come on leaps and bounds in recent times, and much is expected of the advanced machines in the coming ...

If you replay arguments long after they end, your brain may be seeking reward, not resolution. Here’s how dopamine shapes ...

OpenAI says prompt injections will always be a risk for AI browsers with agentic capabilities, like Atlas. But the firm is ...

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

Swarm finance is set to transform financial infrastructure through decentralized, adaptive agent systems that enhance ...

OpenAI has said that some attack methods against AI browsers like ChatGPT Atlas are likely here to stay, raising questions ...