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Nodes to be shared in IAS-1

McStas representation for the bispectral direct geometry chopper instrument T-REX at the European Spallation Source ESS in Lund, Sweden

This are the Torch models from CAM originated from Giacomo Pedretti

Notes from JW’s participation in The Carpentries course “Instructor Training”, date Mar 4-5, 2024.

Docker Images for building GR on various platforms.

Title: An introduction to training algorithms for neuromorphic computing and on-line learning Abstract: Training neural networks implemented in neuromorphic hardware is challenging due to the dynamic, sparse, and local nature of the computations. This tutorial will describe some established gradient-based solutions to address these challenges in the context of real-valued recurrent neural networks and spiking neural networks. Insights into gradient-based training algorithms and associated autodifferentiation methods lead to online synaptic plasticity rules and the necessary assumptions to implement them in in-memory computing devices. The tutorial will conclude with methods that can be used to improve and optimize learning algorithms using meta-learning and other meta-optimization approaches.