Courses & Events
World Artificial Intelligence Conference
Thursday, Sep 1, 2022
10:42 pm
US-ATMC Director Dr. Richard Dasher and Dr. Chenyang Xu, President of Perception Vision Medical Technologies, discuss “Developing talent for US-China Cooperation in AI-Enabled Business” at the North America Forum session of the World Artificial Intelligence Conference (WAIC). The Forum, organized by the Bay Area Council, examined what skills and talent will be needed in order to apply AI to areas in which U.S. – China cooperation is important to solve world problems, e.g. medicine and climate change.
Instructions on how to watch the WAIC online:
- If you’re using a smartphone, you can directly scan the QR code and hit the “EN” icon on the top left to access the English instructions
- If you’re using a computer, please use this link (https://online2022.worldaic.com.cn/home) and hit the “EN” on the top right then the little profile circle icon on the top right to register
Once on the Sign Up page, you will need to:
- Input your phone number with the country code, like so: +1XXXXXXXXXX; and then type in the code received via text to create an account
- Then click on the blue “Cloud Visitor” box which will take you to the registration page.
- Once you’ve filled out the form, you should be able to access the whole conference online.
Details
Dr. Richard Dasher, Director, US-Asia Technology Management Center, and Adjunct Professor, Stanford University
Dr. Richard Dasher has been Director of the US-Asia Technology Management Center at Stanford University since 1994. His research and teaching focus on innovation and entrepreneurship in different business cultures, the impact of new technologies on industry value chains, open innovation management, and the evolving role of sustainability and social inclusiveness in corporate strategy. From 1998 – 2015, he concurrently served as Executive Director of Stanford’s industry-funded Center for Integrated Systems (CIS), widely regarded as one of the world’s most productive university-industry partnerships. He was the first-ever non-Japanese person asked to participate in Japanese national university governance, serving as an outside Board Director and member of the Management Council of Tohoku University from 2004 – 2010. He currently advises venture capital firms, accelerators, nonprofit organizations, and government S&T funding programs in the U.S., Canada, India, Japan, S. Korea, and Thailand. He is fluent in Japanese.
Dr. Chenyang Xu, IEEE Fellow and member
of the IEEE Executive Editorial Advisory Board, President of Perception Vision Medical Technologies, Co-Founder of Silicon Valley Future Academy and Brightway Future Capital, Former GM and CTO of Siemens North America Technology Venture Arm (TTB)
Dr. Chenyang Xu, based out of Silicon Valley and Guangzhou China, is an internationally recognized global technology and business leader. He is a well-sought speaker on technology, innovation, and leadership especially on artificial intelligence, healthcare technologies, entrepreneurship, and disruptive/open innovation. He is an elected IEEE Fellow, recognized for his pioneering research and leadership contribution in the field of AI and healthcare fields.
He is currently the President of Guangzhou-based Perception Vision Medical Technologies and a co-founder of Palo Alto-based Silicon Valley Future Academy and Brightway Future Capital. He currently serves on the advisory board of the Johns Hopkins University Biomedical Engineering Department, IEEE The Institute, and the Youth AI Lab. He formerly served on the advisory board of UC Berkeley’s EECS Department (2009-2017). He also serves as board directors/venture advisors of several AI technology startups in US, Asia, and Europe. Between 2009 and 2017, he was the General Manager and Chief Technology Officer of Siemens Technology to Business responsible for global early-stage startup partnership and investment. He previously headed various global technology leadership roles in healthcare.
He earned his M.S. and Ph.D. degrees in Electrical and Computer Engineering from the Johns Hopkins University in 1995 and 1999, and his B.S. degree in Computer Science from the University of Science and Technology of China, respectively.
