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 ...

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 ...

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

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

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