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 ...

Abstract: Accurate localization in GPS-denied environments remains a critical challenge for autonomous robot navigation. Animals exhibit remarkable navigational abilities in complex, dynamic ...

Tiny lab-grown “mini brains” are no longer just a futuristic curiosity. By capturing the electrical chatter of neurons in a ...

A team of Chinese researchers has recently developed a model to predict the aging of 13 human organs, including the brain, enabling precise assessment of organ aging levels, the China Science Daily ...

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

Study finds middle age changes how brains respond to weight loss. Brain inflammation increased during dieting despite ...

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 ...

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

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

Abstract: The 6D pose estimation for metal parts is essential in industrial robotic applications. Although the 6D pose estimation methods that rely on object-specific training have gained extensive ...