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 ...

A basic knowledge of programming in Python, Julia or MATLAB. A basic knowledge of probability theory and of differential equations. This unit will introduce the neuronal dynamics supporting biological ...

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 ...

A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute.

A major challenge to developing better neural prostheses is sensory encoding: transforming information captured from the environment by sensors into neural signals that can be interpreted by the ...

Understand the mathematical foundations of the structures and processes in today's society. The degree is designed both for mathematicians who wish to make themselves more marketable by adding ...

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