A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...
This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...
Abstract: Hard-to-model, often nonlinear dynamics limit the tracking performance of physical-model-based feedforward control in medical interventional X-ray (IX) systems. In this article, these ...
Neural networks are algorithmic systems created based on the principle of the human nervous system. They consist of many ...
Abstract: This paper proposes a unified framework for accurate estimation of battery State of Charge (SOC) and State of Health (SOH) that integrates the Sage-Husa Extended Kalman Filter (EKF) with a ...
Posts from this author will be added to your daily email digest and your homepage feed. The capability, which is part of the Thread 1.4 spec released last year, will launch on select SmartThings hubs ...
This repository contains a Monte-Carlo solver to train neural-network variational wavefunction to solve continuous-space Fermi systems [M Geier, K Nazaryan, T Zaklama, L Fu, Phys. Rev. B 112, 045119 ...
The idea behind Worldcoin (now called World) is an excellent one: without some way to verify human-based accounts, the internet will be completely overrun with AI bots. To a large extent, it already ...
MOX, Modeling and Scientific Computing, Dipartimento di Matematica, Politecnico di Milano, 20133 Milano, Italy ...
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