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.

Imagine a dog leaping excitedly at arriving guests, only to receive a sharp yell or leash tug—traditional responses that ...

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

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

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

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

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

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...

They asked them to imagine vividly, for 8 seconds, a positive or a negative experience based on a prompt sentence—for ...

Chinese researchers tested whether monitoring passengers' brain activity could help self-driving systems make safer decisions ...