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 ...

Ben Gao '25 asks us to reconsider how we can use AI effectively, arguing that human-centered design needs to be prioritized.

Connect X9 (1.6 TB/s bandwidth), Bluefield 4 DPU (offloads storage/security), NVLink 6 switch (scales 72 GPUs as one), ...

Humanoid, a UK-based AI and robotics company, is accelerating the development of its humanoid robots by integrating NVI ...

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, ...

Innodata is soaring today following news of a major upgrade from Wall Street.

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