Info Hub Distinguished Lecture Series - Embodied AI and Robotics for Promoting Digital Economy and National Healthcare 提升人工智能与具身机器人生态系统: 激活数字经济与智能云医疗保健
In this talk, Dr. Hwang will present recent advances in artificial general intelligence (AGI), embodied robotics in healthcare, autonomous self-driving, and smart manufacturing. He will elucidate the AGI resources governance issues and assess deployed systems in social-media and digital industry. Specifically, he will cover machine/deep learning, federated clouds for healthcare, brain machine interfaces (BMI), and low-altitude digital economy. Throughout the talk, Dr. Hwang will cover the large-scale AI models for future economic development.
To achieve these ambitious goals, public users demand data analytics and machine cognitive power over multi-mode prompting documents, images, audio and video signals. Industrial players demand the integration of intelligent clouds with the upgraded AIoT sensing capabilities. These advances rely on the effective use of hundreds of multi-mode large language models (MLLM) released recently. Good examples include Tesla AI Robotaxi, BMI to help handicapped people, and other innovations in smart city, digital economy, and public healthcare services. He will assess China’s AI-related economy in their strength and weakness, against the worldwide progress.
Kai Hwang earned his Ph.D. from the Univ. of California at Berkeley. He has taught in the USA for 46 years at the Uni. of Southern California and Purdue Univ. He has visited HKU, ZJU, and THU in China. In 2018, he joined the Chinese Univ. of Hong Kong (Shenzhen), as a Presidential Chair Professor, where he just entered the emeritus status in good health. Now, he continues serving the scientific and educational communities at large.
Over the years, Dr. Hwang has made significant contributions to the fields of computer architecture, parallel processing, cloud computing, and artificial intelligence He is worldwide recognized among the top 2% computer scientists. Many of his former Ph,D. students or research associates are elevated to IEEE/CCF Fellows or elected CAS/CAE academicians. He has received the CCF Outstanding Achievement Award, Wu Wenjun AI Award in Nature Sciences, and the IEEE Lifetime Achievement Award.