Neuromorphic computing2

Neuromorphic computing2

Professor Jennifer Hasler (left) and graduate student Suma George examine a field programmable analog array (FPAA) board that includes an integrated circuit with biological-based neuron structures for power-efficient calculation. Hasler’s research indicates that this type of board, which is programmable but has low power requirements, could play an important role in advancing neuromorphic computing. (Georgia Tech Photo: Rob Felt)

Additional Information


Research Horizons

Engineering, Life Sciences and Biology, Research
analog, brain, neuromorphic computing
  • Created By: John Toon
  • Workflow Status: Published
  • Created On: Dec 4, 2015 - 10:51am
  • Last Updated: Oct 7, 2016 - 10:49pm