About this Event
Current AI hardware requires a lot of energy, while the human brain processes information using only a fraction of it. Neuromorphic chips such as SpiNNaker2 borrow one of the brain’s principles: neurons communicate through short pulses called spikes and stay silent in between. This workshop shows how that works and how to program such a chip.
You learn the basic ideas behind spiking neural networks and why neuromorphic hardware can save energy. You write your own networks in Python and run them on the SpiNNaker2 chips in our data centre at Hasso Plattner Institute. We also compare these networks with those used in deep learning and discuss the potential of neuromorphic computing.
By the end, you will know how spiking networks compute and have code to keep working with afterwards.
Language: English
Who it is for: Anyone with machine learning knowledge or Python experience. No prior knowledge of neuroscience, spiking neural networks or neuromorphic hardware is required.
What to bring: A laptop.
Registration & participation
Registration is binding. If you are unable to attend, please cancel your ticket in good time to allow other participants to take your place.
Important Information
Photographs, audio recordings and films will be made during the event. By participating in the event, you agree that photos, audio and video recordings in which you are recognizable may be published as part of the public relations work of the AI Service Center Berlin-Brandenburg and the HPI.
The is a project of the Federal Ministry of Research, Technology and Space. Its aim is to lower the barriers for using AI in business and society.
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Event venue & nearby stays
Hasso-Plattner-Institut, Prof.-Dr.-Helmert-Straße 2-3, 14482 Potsdam, Potsdam, Germany
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