Artificial intelligence (AI), a large and growing subfield of computing that includes machine learning, computer vision, and natural language processing, is transforming the world – from sustainable agriculture and Urban Design at cancer detection and precision behavioral health. Building on Cornell’s strengths in AI, the university recently launched the Cornell Initiative on AI under the umbrella of “Radical Collaboration Drives Discovery”, bringing together AI scholars from across campuses to develop new applications in various fields and advance AI education and ethics.
This semester, Cornell Ann S. Bowers College of Computing and Information Science is hosting a weekly Friday conversation about the future of AI with their Fall 2022 AI Seminar Series. Guest speakers include top industry leaders and groundbreaking researchers who are developing the technology and examining its societal, legal and ethical impacts.
AI Seminars are held every Friday from September 2 through December 2, from 12:15 p.m. to 1:15 p.m. ET, in person at gates 122 and streaming via Zoom. All members of the Cornell community are welcome to attend and students can take the series as a one-credit class.
“We hope the seminar series will bring the whole campus more together around the new AI initiative,” said Thorsten JoachimsAssociate Dean for Research at Cornell Bowers CIS and Professor of Computing and Information Science.
Oliver Richardson, a graduate student in the field of computer science, will be the first speaker on September 2 with his talk, “Loss as inconsistency of a probabilistic dependency graph: choose your model, not your loss function.”
As part of the recent established a five-year strategic partnership between LinkedIn and Cornell Bowers CIS, the series will feature guests Souvik Ghoshdirector of AI at LinkedIn, September 9. Introducing Ghosh, “Some challenges with Recommender Systems at LinkedIn,“will be the cornerstone of several days of innovative programming and events to elevate college AI research.
Learn more about the Department of Computer Science website.
