Research field
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.
8,500 Researchers
$560K Avg funding
5 Subfields
5 Top institutions
Top institutions
Subfields
Spiking Neural Networks Memristive Devices Event-Based Sensing In-Memory Computing Bio-Inspired Architectures
Key technologies
Memristor Crossbars
Neuromorphic Chips
Phase-Change Memory
Event Cameras
Analog VLSI
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