AI Chip Center
HKUST has established a transnational consortium to perform research and development on AI chip design, to help put Hong Kong on the global map of AI chip and hardware design and to nurture the much-needed talent for a booming global AI chip market. With an initial funding of HK$443.9 million from the Hong Kong government's InnoHK Clusters initiative, the AI Chip Center for Emerging Smart Systems (ACCESS) founded by HKUST in collaboration on research with Stanford University, HKU and CUHK, sought to realize ubiquitous AI applications in society seeking to create AI chips that are significantly faster and more energy efficient than that of existing solutions.
Zechun's paper, entitled "How Do Adam and Training Strategies Help BNNs Optimization", has been accepted by International Conference on Machine Learning (ICML), 2021.
IEEE TPAMI 2021
Chong's paper, entitled "One-Shot Imitation Drone Filming of Human Motion Videos", has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.