Courses & Events
Keynote: The Impact of Generative AI: Contrasting Technology Innovations and Societal Adoptions between Asia and the West
Tuesday, Dec 5, 2023
04:30 pm - 05:50 pm
Our flagship autumn Seminar Series on International Technology Management in 2023 will examine ways in which new digital technologies, business models, and data governance frameworks are addressing problems and opportunities at the interface between the digital economy and the external world, with special attention to new patterns of competition and cooperation between Asia and the U.S.
The series begins September 2023 and continues weekly until December 2023. Seminars will be held in-person and over Zoom on Tuesdays, 4:30 PM – 5:50 PM. Please stay tuned for details on how to register.
Instructor: Richard Dasher <rdasher [at] stanford [dot] edu>
The series is available to Stanford students for credit; register for EASTASN 402A “Topics in International Technology Management,” also cross-listed as EE-402A and EALC-402A, 1 unit S/NC.
To attend by Zoom, please register at <https://stanford.zoom.us/meeting/register/tJwsfu-vrTojEt0K8gkVqvxx0lGZwR8BF51i>. This will register you for the entire series and the same link will be used for all sessions. After registering, you will receive a confirmation email containing information about joining the meeting series. You may cancel at anytime.
To attend in-person, please register at <https://www.eventbrite.com/e/keynote-the-impact-of-generative-ai-tickets-761376145547>. Please note our speaker Shane Gu will be on Zoom while moderator US-ATMC Director Dr. Richard Dasher will be in-person.
Speakers
Shixiang Shane Gu (on Zoom)
Research Scientist, Google DeepMind
Shixiang Shane Gu is a researcher and manager at Google DeepMind. His research spans deep learning, reinforcement learning, natural language processing, probabilistic machine learning, and robotics. Shane was an ex-Research Scientist at Google Brain and OpenAI, and a Visiting Associate Professor (Adjunct Professor) at the University of Tokyo. Shane holds PhD from the University of Cambridge and the Max Planck Institute for Intelligent Systems, and B.ASc. in Engineering Science from the University of Toronto. Shane previously was also a visiting scholar at the Department of Computer Science at Stanford University. Shane’s academic work received Best Paper Award at CoRL 2019, Google Focused Research Award, Cambridge-Tübingen PhD Fellowship, and NSERC Scholarship, and was featured in Google Research Blogpost and MIT Technology Review. Shane is a Japan-born Chinese Canadian, and he speaks, reads, and writes in three languages.
