A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...

That joyfulness can extend even to the more mundane lessons, like learning new vocabulary, which historically has involved ...

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 ...

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), ...

To ensure that literacy practices are aligned to research districtwide, you need a plan—and a team to help carry it out.

Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world ...

Abstract: Multi-task multi-agent reinforcement learning (MT-MARL) is capable of leveraging useful knowledge across multiple related tasks to improve performance on any single task. While recent ...

Abstract: This paper addresses the dynamic task assignment problem for multiple uncrewed aerial vehicles (UAVs) operating under weak communication. Existing learning-based methods face two primary ...