Hardware Design
The demand for more computing power is higher than ever as new AI applications are emerging. However, Moore's law no longer provides enough computing power to meet the demand. In this era, specialization may be the only way to bring more computing power. We currently focus on developing specialized hardware for artificial intelligence using Application Specific Integrated Circuits (ASICs) and Field Programmable Gate Arrays (FPGAs).
AI for Chip Design
Designing computer chips is a labor-intensive and time-consuming process until today. Would it be the same in the future? We strongly believe that AI can revolutionize the way we design computer chips. However, there are still a lot of challenges in applying AI to chip design even though astonishing progress in machine learning. We will foster AI experts and chip design experts in a single lab and develop the best AI for designing chips.
Efficient AI Algorithms
The predictive performance of recent AI often scales with more data and larger models, and we have witnessed what AI is capable of. However, the large models often require massive amounts of computation, huge memory and storage, and present formidable challenges in serving them at Internet-scale and deploying them on mobile devices. We often deal with these challenges by purely developing novel algorithms without relying on new hardware.
