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  • An overhead shot of the Cornell Tech Campus
    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.

  • An overhead shot of the Cornell Tech Campus
    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.

  • A color graphic promoting an AI workshop

    Using AI in Humanities Research

    423 Morrill Hall

    Join us for a roundtable discussion to learn about how people are already using AI in their humanities-related work. Featuring: Jan Burzlaff (Jewish Studies), Laurent Dubreuil (Comparative Literature), Sturt Manning (Classics), Jessica Ratcliff (Science & Technology Studies), & Adam T. Smith (Anthropology/CIAMS)

  • An overhead shot of the Cornell Tech Campus
    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.

  • An overhead shot of the Cornell Tech Campus
    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.