Federated learning (FL) has emerged as a popular machine learning paradigm which allows multiple data owners to train models collaboratively with out sharing their raw datasets. It holds potential for ...
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Machine learning-based neural network potentials often cannot describe long-range interactions. Here the authors present an approach for building neural network potentials that can describe the ...
EPFL researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other ...
OXFORD, England--(BUSINESS WIRE)--Arctoris Ltd, a tech-enabled biopharma platform company, has appointed three globally recognized experts in Alzheimer’s disease, Machine Learning applied to closed ...
Goldman Sachs says AI will boost productivity, cause a short spike in unemployment, and disrupt some jobs, but the impact will be brief. Acrobat Studio combines Adobe Acrobat, Adobe Express, and ...
Researchers examining the brain at a single-neuron level found that computation happens not just in the interaction between neurons, but within each individual neuron. Each of these cells, it turns ...
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