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 ...

Talking to oneself is a trait which feels inherently human. Our inner monologs help us organize our thoughts, make decisions, ...

Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word.

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 ...

A Cornell research group led by Prof. Peter McMahon, applied and engineering physics,has successfully trained various physical systems to perform machine learning computations in the same way as a ...

Computation itself cannot be securitized. Only claims on future revenues derived from computation can be. Those claims ...