This event will be held Monday, May 23rd (8:00 a.m. to 5:30 p.m.) in the Lyceum Room of the Husky Union Building (HUB) on the University of Washington campus. Remote participation for morning session is available via zoom webinar using this link, https://washington.zoom.us/j/96793258456.

This inspirational education and networking opportunity for faculty, researchers, and students will feature:

Talks by funded AI centers at UW
Prominent experts discussing cutting edge AI methodologies
Novel AI applications in areas such as environmental science, engineering, astronomy and sociology
Breakout sessions featuring panel discussions
Poster presentations highlighting AI research by postdocs and graduate students at UW
Social gatherings including light breakfast, lunch, and a celebratory reception

Don’t miss this opportunity to meet other AI users on campus, to find synergies with major campus initiatives, and to strategize about the future of AI research at the UW.

**EVENT SCHEDULE**

8:00 a.m. - Light breakfast

8:30 a.m. - Welcome Remarks from Provost Mark Richards

8:45 a.m. - Talks by Major AI Initiatives

9:30 a.m. - Invited Plenary Talks

-- Ali Farhadi, Future of AI

9:55 a.m. - Break

10:10-11:50 a.m. Invited Plenary Talks (continued)

-- Armita Nourmohammad, "Learning the shape of the protein universe"

-- Dale Durran, "Deep Learning Weather Prediction and Earth-System Modeling”

-- Zack Almquist, "Large-scale network models for understanding human population dynamics and health outcomes”

-- Nathan Kutz, "Data-driven acceleration of scientific and engineering discovery"

11:50 a.m. - Prepare for afternoon

12:00 p.m. - Catered Lunch

1:00 p.m. - Pitches for Breakout Sessions

2:00 - 3:30 p.m. - Breakout Sessions

-- AI + Education (HUB Room 340)

-- AI + Imaging (HUB Room 145)

-- AI + NLP (HUB Room 214)

-- AI + Robotics (HUB Room 337)

-- AI + Society & Health (HUB Room 334)

-- Science-Informed AI (HUB Room 332)

3:30 - 5:30 p.m. - Reception & Poster Session highlighting AI research by UW graduate students and postdocs

Yang, Cher, Catherine Sibert, and Andrea Stocco. “Predicting Individual Preferences in Decision Making from a Rest Brain”.
Schuy, Alex, Zhijian Liu, Jeff Krupa, Shih-Chieh Hsu, Scott Hauck, Phil Harris. “Low-latency 3D clustering at the Large Hadron Collider”.
Nolan, Michael, “Multi-block RNN Autoencoders Enable Broadband ECoG Signal Reconstruction”.
Liu, Jiacheng (Gary), Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, and Hannaneh Hajishirzi, “Generated Knowledge Prompting for Commonsense Reasoning”.
Yan, Yao, “NLP Sandbox: model-to-data ecosystem for utilizing clinical notes and benchmarking NLP tools”.
Ye, Andre, Alec Bunn, Yegor Kunetzov, Amelia Johnson, Eric Xia, “Emergent Language: Independent AI Development of Human-Like Language”.
Feng, Yunhe, “Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search”.
Rath, Siddharth and Christian Frech, “Random Matrix Theory Perspective on GAN Based Protein Design”.
Wu, Yue, Abraham Olvera-Barrios, Ryan Yanagihara, and Irene Leung, “Generalizing 7 layer OCT segmentation from Heidelberg to Topcon devices without labels”.
Kahveci, Ihsan, Elizabeth Nova, Kolina Koltai, Zach Hsiao, Emma S. Spiro, and Zack W. Almquist, “Talking About the Jab: Medical Professionals’ Expressions of Vaccine Hesitancy Online”.

If you have a major, funded initiative or a significant educational program that you would like us to be aware of, please ask your chair or dean to reach out to us at ai-exec@uw.edu.

Registrations are closed

Discovering AI@UW