Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...

Tesla’s latest Full Self-Driving release, FSD v14.2, arrives at a moment when owners are fixated on how the system handles ...

Abstract: Recently, deep learning-based solvers for inverse scattering problems (ISPs) have been continuously developed. The ill-posedness and nonlinear nature of ISPs make deep learning-based ISP ...

For the past decade, the spotlight in artificial intelligence has been monopolized by training. The breakthroughs have largely come from massive compute clusters, trillion-parameter models, and the ...

This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, ...

Harnessing the muscle of one of the world’s fastest supercomputers, researchers have built one of the largest and most detailed biophysically realistic brain simulations of an animal ever. This ...

Artificial intelligence (AI) is set to transform the care of women with cancer. From early detection via digital phenotyping ...

What if a model could forget without losing its mind?” That question now has a technical foothold, thanks to new research ...

Abstract: This paper investigates the routing problem in the mega low earth orbit (mLEO) satellite constellations considering factors including distribution of the users, topology of the networks and ...