Neuromorphic Systems
Leverage brain-inspired neuromorphic hardware to perform computation more efficiently, emulating the low-energy operation of biological neural networks.
Resources (2)
Rain
Company
Energy-based learning algorithms for analog computing: a comparative study
Research and Reviews
R&D Gaps (1)
Modern deep learning and general computation demand enormous energy, limiting scalability and sustainability. Addressing energy efficiency is critical for the next generation of computing platforms, though it also supports potential proliferation of advanced AI and should be advanced alongside AI sa...