Course

MSE-806: Spin-based devices for neuromorphic computing

Summary

The course entails a 5-days-program with lectures and exercises about spin-based computing and novel spin texture-based computing devices. An additional round table discussion and journal club session provide further knowledge about recent trends and challenges in the field.

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/spin-based-devices-for-neuromorphic-computing-MSE-806

Moodle Page

http://go.epfl.ch/MSE-806

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Summary

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/spin-based-devices-for-neuromorphic-computing-MSE-806

Moodle Page

http://go.epfl.ch/MSE-806

About this result

Lectures in this course (8)

Lens Design: Implementing Filters and Lens Functionality

Explores lens design, high-pass filters, and image line detection using MATLAB.

Pytorch Intro: MNIST and Digits

Covers Pytorch basics with MNIST and Digits datasets, focusing on training neural networks for handwritten digit recognition.

Building Physical Neural Networks

Discusses challenges in building physical neural networks, focusing on depth, connections, and trainability.

Neuromorphic Computing: Concepts and Hardware Implementations

Covers neuromorphic computing, challenges in ternary and binary computing, hardware simulations of the brain, and new materials for artificial brain cells.

Neuromorphic Computing with Artificial Spin Systems

Explores Neuromorphic Computing with Artificial Spin Systems, discussing the need for new computing paradigms and the potential of artificial spin systems for neuromorphic computing applications.

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