AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes a model that builds on the presence of a certain network scaffold at the onset of learning and the existence of dendritic compartments for enhancing neuronal information storage and computation and builds on these features to acquire and replay complex non-Markovian spatio-temporal patterns using onl...
This work compares two recent multicore neuromorphic systems implemented in the same 22-nm FDSOI technology and explicitly optimized for inter-core event communication, and discusses routing-aware training as a means of jointly optimizing neural connectivity, task performance, and hardware mappability.
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