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Peter Grünberg Institute (PGI)
Neuromorphic Software Ecosystems (PGI-15)
Research
See Overview Research
Surrogate Gradient Learning and local learning
Neuromorphic machine learning software design and novel autodifferentiation techniques for training spiking neural networks
Designing Memristive Neuromorphic Learning Machines for Fast, Real-Time Adaptation
Meta-learning (Learning-to-learn)
Cloud-to-Edge Physics-Informed Neural Networks
Neuromorphic Hardware for Approximate Bayesian Inference and Optimization
Neuromorphic Applications in Vision and Robotics
Neural Code Agnostic Methods for Comparing Brains and Artificial Neural Networks
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Career Opportunities at PGI-15
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downloads
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conferencesandworkshops
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EU-JAPAN-Workshop-REPORTS.pdf
EU-JAPAN-Workshop-REPORTS.pdf
EU-JAPAN-Workshop-REPORTS.pdf
(PDF / 5MB)
Last Modified: 19.09.2021
