Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

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 ...

There is no doubt what took centre stage in the theatre of business applications in 25: agentic AI, surpassing pre-2022 AI, ...

Agentic AI challenges the foundational tenets of our legal frameworks, which have historically relied on clear lines of ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

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

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

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 ...

Vermont's task force responsible for remapping school districts met at Oxbow High School in Bradford on Friday, focusing on considerations and available education data to inform the eventual changes ...

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 ...