Recent Developments in AI and Large Language Models across Asia
Dr. Tatsunori Hashimoto, Assistant Professor of Computer Science at Stanford, will share insights on emerging AI and LLM innovations across Asia, highlighting how technical and geopolitical factors are shaping the next wave of model development.
Dr. Tatsu Hashimoto is an Assistant Professor of Computer Science at Stanford University, where his research focuses on developing more robust and trustworthy machine learning systems. His work applies statistical tools to improve reliability and fairness in complex models such as large language models, with interests spanning long-tail behavior, out-of-domain understanding, and bias mitigation. Before joining Stanford’s faculty, he was a postdoctoral researcher with John Duchi and Percy Liang at Stanford and earned his PhD from MIT, where he was co-advised by Tommi Jaakkola and David Gifford.
Dr. Richard Dasher, Director of Stanford's US-Asia Technology Management Center, will serve as moderator.
----
This program is hosted by Stanford's US-Asia Technology Management Center. It is part of our autumn seminar series on "Topics in International Technology Management: Innovation in AI from Asia." Check-out our speaker line-up here!
Registration:
To attend in-person, please register on Luma.
To attend by Zoom, please register here.
Agenda:
4:30 pm – 5:50 pm Discussion and Audience Q&A
5:30 pm - 6:30 pm Networking Reception
Venue:
Stanford University, Bishop Auditorium, 518 Memorial Way, Stanford, CA 94305 [Google Map]
Parking options:
Memorial Way, Stanford, CA 94305 [Google Map]
Lasuen St. and Roth Way, Stanford, CA 94305 [Google Map]
Please check parking signs carefully to ensure that permitted parking (A or C) and metered spaces are free after 4:00 pm. Paid parking is enforced around The Oval until 6:00 pm.