Automatic Optimize-time Validation for Binary Optimizers
- Motohiro Kawahito
- Reid Copeland
- et al.
- Journal of Information Processing
Moriyoshi Ohara's research interests span across software technologies to take advantage of differentiating hardware features, such as confidential computing and hardware acceleration for AI foundation models.
He received a Ph.D. degree in Electrical Engineering from Stanford University in 1996 and is a Senior Member of Association for Computing Machinery (ACM).