Fields
Neuromorphic Computing
Neuromorphic computing designs hardware and algorithms that mimic the structure and dynamics of biological neural systems. By co-locating memory and computation and using spike-based signaling, it promises orders-of-magnitude gains in energy-efficient AI.
Details
- Avg Funding
- $560K
- Key Technologies
- Memristor CrossbarsNeuromorphic ChipsPhase-Change MemoryEvent CamerasAnalog VLSI
- Subfields
- Spiking Neural NetworksMemristive DevicesEvent-Based SensingIn-Memory ComputingBio-Inspired Architectures
- Top Institutions
- StanfordETH ZurichIBM ResearchUniversity of ManchesterHeidelberg University