CAREER: Designing Ultra-Energy-Efficient Intelligent Hardware with On-Chip Learning Attention and Inference

Computer hardware Engineering & Materials Science 100%

VLSI circuits Engineering & Materials Science 86%

Learning algorithms Engineering & Materials Science 80%

Machine learning Engineering & Materials Science 53%

Data storage equipment Engineering & Materials Science 44%

Deep learning Engineering & Materials Science 43%

Redundancy Engineering & Materials Science 41%

Internet of things Engineering & Materials Science 40%