
Wednesday, December 11, 2024
12:00 PM (EST) | 10:00 AM (MST) | 9:00 AM (PT)
The Center for Accelerating Operational Efficiency (CAOE) invites you to our seminar series Perils and Promises of Artificial Intelligence for the Homeland Security Enterprise. The next speaker event with Dr. Ed H. Chi, VP of Research at Google DeepMind, is part of CAOE’s Perils and Promises of Artificial Intelligence for the Homeland Security Enterprise series and will be an unmissable opportunity to gain valuable perspectives on the evolution of AI and its implications for the future. This CAOE Seminar Series event will not be recorded, making it a one-time chance to hear directly from Dr. Ed H. Chi, VP of Research at Google DeepMind, as he shares groundbreaking insights into the future of AI. It’s a be-there-or-miss-out moment to gain unique perspectives on AI innovation, personalization, and discovery assistance from one of the leading minds in the field.
Abstract for the Seminar: The Future of Discovery Assistance
Our field has shifted from traditional machine learning techniques that are mostly based on pattern recognition to sequence-to-sequence models. The future of universal personal assistance for discovery and learning is upon us. How will multimodality image, video, and audio understanding, and reasoning abilities of large foundation models change how we build these systems? I will shed some initial light on this topic by discussing some trends: First, the move to a single multimodal large model with reasoning abilities; Second, the fundamental research on personalization and user alignment; Third, the combination of System 1 and System 2 cognitive abilities into a single universal assistant.

Dr. Ed H. Chi, VP of Research at Google DeepMind
This seminar in this series will feature speaker Dr. Ed H. Chi. He is VP of Research at Google DeepMind, leading machine learning research teams working on large language models (from LaMDA leading to launching Bard/Gemini), and neural recommendation agents. With 39 patents and ~200 research articles, he is also known for research on user behavior in web and social media. As the Research Platform Lead, he helped launched Bard/Gemini, a conversational AI experiment. His research also delivered significant improvements for YouTube, News, Ads, Google Play Store at Google with >930 product landings and ~$9B in annual revenue since 2013.
Prior to Google, he was Area Manager and Principal Scientist at Xerox Palo Alto Research Center‘s Augmented Social Cognition Group in researching how social computing systems help groups of people to remember, think and reason. Ed earned his 3 degrees (B.S., M.S., and Ph.D.) in 6.5 years from University of Minnesota. Inducted as an ACM Fellow and into the CHI Academy, he also received a 20-year Test of Time award for research in information visualization. He has been featured and quoted in the press, including the Economist, Time Magazine, LA Times, and the Associated Press. An avid golfer, swimmer, photographer and snowboarder in his spare time, he also has a blackbelt in Taekwondo.
About the CAOE Seminar Series
Artificial Intelligence (AI) has taken the world by storm with applications in self-driving cars, medical diagnostics, biometric analysis, and more. However, the use of AI is not without its own drawbacks. As such, it is critical to understand the current state of the art in AI, where the field is going, and what can (or cannot) currently be accomplished with Artificial Intelligence. In this seminar series, we invite AI luminaries to discuss current advances in Artificial Intelligence and offer insights into the perils and promises of such technology for the Homeland Security Enterprise.
Event Details:
Attend: via Zoom webinar