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.

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 ...

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

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

Researchers in China have developed a reconfigurable intelligent surface (RIS) that harvests energy from enemy radar.

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

The paper challenges the dominant “mirror metaphor” that defines digital human twins as faithful replicas of human behavior ...

Dipkumar Mehta stands at the forefront of innovation in artificial intelligence and cloud computing. As a Principal ...

DeepSeek has released new research showing that a promising but fragile neural network design can be stabilised at scale, ...

OpenAI has updated the security of its AI-powered browser Atlas, introducing automated defenses aimed at limiting prompt injection attacks.