Neuromorphic Ai Researcher: Local Learning Rules & Hardware
Bocconi University is inviting applications for a research position focusing on developing and validating learning rules that are local in space and time for recurrent neural networks.
Se desidera conoscere i requisiti per questo ruolo, continui a leggere per trovare tutte le informazioni pertinenti.
The project emphasizes low-power neuromorphic processors and involves collaboration with the PI and other researchers to conduct experiments, analyze results and publish reproducible software.
The role xysqume covers theory, emulation, hardware validation, and software release, with a focus on performance, energy, and
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Se desidera conoscere i requisiti per questo ruolo, continui a leggere per trovare tutte le informazioni pertinenti.
The project emphasizes low-power neuromorphic processors and involves collaboration with the PI and other researchers to conduct experiments, analyze results and publish reproducible software.
The role xysqume covers theory, emulation, hardware validation, and software release, with a focus on performance, energy, and
#J-*****-Ljbffr