The Cornell Learning Machines Seminar is a semi-monthly seminar held at the Cornell Tech campus in New York City. The seminar focuses on machine learning and related areas, including Natural Language Processing, Vision, and Robotics.
Thursdays, 3:35pm - 4:25 EST in Gates 122 and streaming via Zoom.
Fridays, 12:15 p.m. ET in Gates 122 and streaming via Zoom. Please note we will broadcast some seminars from Cornell Tech.
Happening every Friday from 4-4:30 PM via Zoom, the forum is for Cornell faculty and staff (e.g., research operational support staff) who are interested in the EMPIRE AI’s current status and future plans.
Registration for the series is required, which will then provide the Zoom link info.
Talk at 11:45am, on Thursdays in G01 Gates Hall and via Zoom.
The Cornell Learning Machines Seminar is a semi-monthly seminar held at the Cornell Tech campus in New York City. The seminar focuses on machine learning and related areas, including Natural Language Processing, Vision, and Robotics.
Thursdays, 3:35pm - 4:25 EST in Gates 122 and streaming via Zoom.
Fridays, 12:15 p.m. ET in Gates 122 and streaming via Zoom. Please note we will broadcast some seminars from Cornell Tech.
Happening every Friday from 4-4:30 PM via Zoom, the forum is for Cornell faculty and staff (e.g., research operational support staff) who are interested in the EMPIRE AI’s current status and future plans.
Registration for the series is required, which will then provide the Zoom link info.
In this talk, Lin William Cong, Associate Professor of Finance at the Johnson Graduate School of Management at Cornell University, will describe how recent developments in AI and their core theme — data-driven, goal-oriented search in enlarged modeling spaces — can be effectively applied to answer important questions in finance, provided we incorporate relevant domain knowledge.
