Neuromorphic and AI Hardware

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New brain-inspired approaches to common classification tasks like speech recognition, image classification, and locomotion can provide an alternative to traditional GPU-based machine learning frameworks 

What’s available currently?:

 
Hardware
Programming Tools
Notes
Hosting Machine
RASP Locally developed mixed digital/analog platform with support for hhNeuron rg-neuro-host

Nengo FPGA

Nengo Framework
Digital neuromorphic implementation for FPGA brainard

 

Tools: RASP, Nengo

Primary Contact: Jennifer Hasler, Jeffrey Young

Restrictions: None

Related Projects: SRTML

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