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

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

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 ...

2 Centre for Comprehensive Stroke Rehabilitation and Research, Manipal Academy of Higher Education, Manipal, India Objective Upper limb task-oriented training (UL-TOT) is a complex intervention in ...

For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see ...

Inquiry-based learning has been gaining more attention in classrooms across the world. Teachers often ask, What does it look like in practice? How does it differ from more traditional approaches? At ...