Cornell Learning Machines Seminar

Cornell Learning Machines Seminar

Cornell Tech campus 2 W Loop Rd, New York, NY, United States

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.

Cornell Learning Machines Seminar

Cornell Learning Machines Seminar

Cornell Tech campus 2 W Loop Rd, New York, NY, United States

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.

AI Exploration Series

AI Exploration Series

Virtual

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.

Cornell Learning Machines Seminar

Cornell Learning Machines Seminar

Cornell Tech campus 2 W Loop Rd, New York, NY, United States

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.

Cornell Learning Machines Seminar

Cornell Learning Machines Seminar

Cornell Tech campus 2 W Loop Rd, New York, NY, United States

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.

Cornell Learning Machines Seminar

Cornell Learning Machines Seminar

Cornell Tech campus 2 W Loop Rd, New York, NY, United States

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.