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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 ...

No body, no dopamine, no problem. Scientists have successfully coached lab-grown brain tissue to solve a classic robotics challenge, proving that the will to learn is hardwired into our neurons.

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 ...

A biomimetic synapse built from water droplets and biological ion channels achieves synaptic plasticity and performs machine learning tasks.

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 ...

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 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Google’s Cloud Tensor Processing Units are ...

In conventional computing, we can draw a clean line between software and hardware. In brains, there is no such separation of different scales. In the brain, everything influences everything else, from ...