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 ...

Engineers are no longer asking if AM can deliver; instead, they’re asking how to make it work reliably, affordably, and at ...

This is the official repository for The Quest for Generalizable Motion Generation: Data, Model, and Evaluation. The repo provides a unified framework for generalizable motion generation, including ...

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

The innovations of this year spanned a range of fields, including biotechnology, medicine, energy, environment, and chemistry ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

As we head into the New Year, experts across the tech landscape weigh in to share what they think will happen in 2026 ...

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

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

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Abstract: Application of machine learning (ML) approaches has recently expanded within a wide range of domains, including semiconductor devices. Their strong potential resulted in increasing number of ...

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