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.

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

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

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

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

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

SEOUL – South Korea’s industrial heavyweights are arriving at CES 2026 with a shared message: artificial intelligence is ...

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 ...

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

Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...