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

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

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 ...

Meet NVIDIA Nitrogen, a generalist gaming agent trained on 40,000 hours of video, so you can understand how imitation learning scales.

Human (NYSE:IH) offers interactive educational apps for cognitive development, integrating technology and creative content ...

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

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...

In the rapidly evolving landscape of satellite technologies, a novel concept known as space computing power networks (Space-CPN) is emerging as a ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

Boston Dynamics product lead Aya Durbin discusses Atlas, industrial humanoid robots, and what it takes to make humanoids ...