In this talk, Christina Giannoula, Postdoctoral Researcher at the University of Toronto, will present a cross-stack approach to designing application-aware computing stacks for cutting-edge applications, enabling new synergies between algorithms, systems software, and hardware.
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.
Join AI startup and industry leaders for an afternoon of engaging events on the topic of the intersection of business and AI.
Virtual lecture series on topics across machine learning in medicine, featuring extensive Q & A and panel discussions.
In this talk, Dr. Xu will introduce a comprehensive pipeline that connects AI, end-users, and health experts. For end-users, he will introduce his work that bridges behavior science theory-driven intervention designs and generalizable behavior models.
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.
