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Taming Chaos In Neural Networks
The Lorenz attractor is an example of complex dynamical systems. Two neuroscientists have discovered a way to learn complex ...
The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...
Tech Xplore on MSN
Overparameterized neural networks: Feature learning precedes overfitting, research finds
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
A research team led by Associate Professor Hiroto Sekiguchi and graduate student Gota Shinohara from the Department of Electrical and Electronic Information Engineering at Toyohashi University of ...
As the rapid adoption of world models in autonomous driving calls for further advances in relevant technologies, global tech ...
Fujitsu achieves high-precision, long-duration molecular dynamics simulation for all-solid-state battery interphases with ...
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