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.
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.
Join us as industry leaders and innovators share their insights and experiences, offering a glimpse into the future of tech.
Speaker: Paul England, Distinguished Engineer at Microsoft
Title: Real or Fake? Technological Approaches to Combating Misinformation
Date: 12/4/2024
Time: 3:30 - 4:30 p.m.
Location: Gates Hall 114
Title: Foundations of Bilevel Optimization for Learning and Computing
In this talk, Chen will introduce a unified framework to tackle these challenges in learning and computing problems, grounded in bilevel optimization. This framework provides theoretical guarantees on optimality, complexity, as well as algorithmic scalability for large-scale AI models and systems. Chen will conclude by showcasing applications of bilevel optimization techniques in NextG wireless problems and IBM’s signal processing systems.
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.
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.
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.
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.
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.
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.
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.
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.
