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.
Held Fridays 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. Weekly forums are scheduled throughout the Spring 2025 semester starting February 7.
Please register for the series, 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.
Held Fridays 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. Weekly forums are scheduled throughout the Spring 2025 semester starting February 7.
Please register for the series, 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.
