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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture explores the challenges and future of neuromorphic computing, comparing digital computers and neuromorphic systems. It delves into the performance differences between SpiNNaker and NEST, highlighting the impact of numerical accuracy and hardware configurations. The presentation also discusses the Human Brain Project's Neuromorphic Computing Platform, offering insights into its usage and benefits. The instructor covers the evolution of computing, emphasizing the limitations of CMOS scaling and the need for alternative architectures. The lecture concludes by examining the potential of neuromorphic computing to complement traditional digital systems in the future.