March 2024 - Ececourtesy-list

Mon, Mar 18, 10:30A, LWSN 3102, Purdue Computes-AI/ML Faculty Candidate: Kate Donahue, PhD Candidate/Cornell: AI as a resource: strategy, uncertainty, and societal welfare
by Satterfield, Mary Ann 12 Mar '24

12 Mar '24

If you're interested in meeting with this candidate or would share a meal, please add your name/meeting place on her itinerary<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.goog…>. She will be visiting ECE the afternoon of the 19th and the morning of the 20th, hosted by Charlie Hu. ________________________________ Kate Donahue Monday, 3/18/2024, at 10:30 am LWSN 3102AB (In-person only) Title: AI as a resource: strategy, uncertainty, and societal welfare Abstract: In recent years, humanity has been faced with a new resource - artificial intelligence. AI can be a boon to society, or can also have negative impacts, especially with inappropriate use. My research agenda studies the societal impact of AI, particularly focusing on AI as a resource and on the strategic decisions that agents make in deciding how to use it. In this talk, I will consider some of the key strategic questions that arise in this framework: the decisions that agents make in jointly constructing and sharing AI models, and the decisions that they make in dividing tasks between their own expertise and the expertise of a model. The first of these questions has motivated my work on "model-sharing games", which models scenarios such as federated learning or data cooperatives. In this setting, we view agents with data as game-theoretic players and analyze questions of stability, optimality, and fairness. Secondly, I will describe some of my work in modeling human-algorithm collaboration. In particular, I will describe work on best-item recovery in categorical prediction, showing how differential accuracy rates and anchoring on algorithmic suggestions can influence overall performance and describe some ongoing work inspired by human-LLM interaction. Bio: Kate Donahue is a sixth year computer science PhD candidate at Cornell advised by Jon Kleinberg. She works on algorithmic problems relating to the societal impact of AI such as fairness, human/AI collaboration and game-theoretic models of federated learning. Her work has been supported by an NSF fellowship and recognized by a FAccT Best Paper award. During her PhD, she has interned at Amazon, Google, and Microsoft Research. Mary Ann Satterfield Sr. Administrative Assistant Elmore Family School of Electrical and Computer Engineering Max W. and Maileen Brown Hall of Electrical Engineering 465 Northwestern Ave., BHEE 326B West Lafayette, IN 47907 o: 765-494-6389 m: 765-490-6392 f: 765-494-2706 [cid:image001.png@01DA7499.814482A0]<https://www.purdue.edu/?utm_source=signature&utm_medium=email&utm_campaign=…>

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Faculty Candidate Seminar: "Quantum Machine Learning: From Near-Term to Fault-Tolerance", Junyu Liu (The University of Chicago), Wednesday, March 20 at 10:30 AM, MSEE 112
by Rollins, Ashley Renee 08 Mar '24

08 Mar '24

Zoom https://purdue-edu.zoom.us/j/94483795727<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpurdue-ed…> Meeting ID: 944 8379 5727 [cid:image001.jpg@01DA715F.3BCB4520]

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TODAY, 10:30A, MSEE 112: Faculty Candidate, Purdue Computes: AI/ML: Zhengzhong Tu, Research Engineer, Google: Efficient AI Meets Multimedia Visual Computing
by Satterfield, Mary Ann 07 Mar '24

07 Mar '24

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REMINDER - Faculty Candidate Seminar - EE open search
by Carte, Lori J 06 Mar '24

06 Mar '24

IN PERSON ATTENDANCE IS HIGHLY ENCOURAGED Zoom: https://purdue-edu.zoom.us/j/98631387241<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpurdue-ed…> [cid:image001.png@01DA6FD2.9EDA8FB0]

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Thu, Mar 7, 10:30A, MSEE 112: Faculty Candidate, Purdue Computes: AI/ML: Zhengzhong Tu, Research Engineer, Google: Efficient AI Meets Multimedia Visual Computing
by Satterfield, Mary Ann 04 Mar '24

04 Mar '24

If you would like to meet with the candidate or share a meal, please feel free to place your information on his itinerary<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.goog…>. [cid:image001.png@01DA6E58.E73D69B0]

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TODAY, 1:30P, PGSC: Purdue Computes: Systems-Software Faculty Candidate PAUL KROGMEIER, PhD Cand, UIUC: Learning Symbolic Concepts and Domain-specific Languages
by Satterfield, Mary Ann 04 Mar '24

04 Mar '24

[cid:image001.png@01DA667F.4620DED0] Mary Ann Satterfield Sr. Administrative Assistant Elmore Family School of Electrical and Computer Engineering Max W. and Maileen Brown Hall of Electrical Engineering 465 Northwestern Ave., BHEE 326B West Lafayette, IN 47907 o: 765-494-6389 m: 765-490-6392 f: 765-494-2706 [cid:image002.png@01DA667F.842751A0]<https://www.purdue.edu/?utm_source=signature&utm_medium=email&utm_campaign=…>

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