Lower Energy Architectures for Deep Learning
Develop novel hardware architectures optimized for deep learning and artificial intelligence that dramatically reduce energy consumption compared to current systems.
Resources (2)
ARIA Opportunity Space: Nature Computes Better
Funding Program
Convolutional Differentiable Logic Gate Networks
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...