Bloomberg, Cornell Tech, and Tech:NYC invite you to join us for the latest installment of the Cornell Tech @ Bloomberg Speaker Series, featuring Jesse Middleton, General Partner at Flybridge, in conversation with Isabelle Lee, Cross-Asset Reporter with Bloomberg News.
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.
Virtual lecture series on topics across machine learning in medicine, featuring extensive Q & A and panel discussions.
Held every other Friday from 4:00-4:30 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. Biweekly forums are scheduled throughout the Spring 2025 semester starting February 14.
Please register for the series, which will then provide the Zoom link info
Join Ben Maddox and a diverse group of leaders on April 2, 2025, to explore the ups and downs of being a data-driven community in a free, full-day symposium.
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.
On Thursday, April 3, join AI Assistant Program Director Ayham Boucher for the debut of a bi-weekly series for Cornell students, faculty, and staff who want to know more about all things AI. Held over Zoom, the thirty minute workshop starts at 2pm ET.
Virtual lecture series on topics across machine learning in medicine, featuring extensive Q & A and panel discussions.
Enabling Language Models to Process Information at Scale
In this talk, Tianyu Gao will present his research on advancing LMs for processing information at scale.
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.
