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

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

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

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

Dogs are social creatures, and playtime with you is the highlight of their day. If they sense you’re preoccupied, their ...

The race to build ever more capable artificial intelligence has split the field's leading thinkers into rival camps. Some ...

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

Abstract: Continuous-time reinforcement learning (CT-RL) methods hold great promise in real-world applications. Adaptive dynamic programming (ADP)-based CT-RL algorithms, especially their theoretical ...

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 ...

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

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.