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)
