Vertex AI/LLM for Clinical Research
Join our Research Informatics team to learn how Vertex artificial intelligence (AI) and large language models (LLM) are being used for research at Weill Cornell Medicine.
10 events found.
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Computer Science Colloquium
G01 GatesTalk at 11:45am, on Thursdays in G01 Gates Hall and via Zoom.
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Cornell Learning Machines Seminar
Cornell Tech campus 2 W Loop Rd, New York, NY, United StatesThe 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.
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Robotics Seminar
Gates 122Thursdays, 3:35pm - 4:25 EST in Gates 122 and streaming via Zoom.
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Machine Learning in Medicine
VirtualVirtual lecture series on topics across machine learning in medicine, featuring extensive Q & A and panel discussions.
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Artificial Intelligence Seminar
Gates 122Fridays, 12:15 p.m. ET in Gates 122 and streaming via Zoom. Please note we will broadcast some seminars from Cornell Tech.
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Cornell EMPIRE AI Weekly Forum
Virtual EventHappening 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.
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AIDH Seminar
Virtual"Whole Brain Imaging for Quantitative Profiling of Neural Complexity and Disease"
Presented by: Dr. Zhuhao Wu, Assistant Professor of Neuroscience at Weill Cornell Medicine.Registration for the event is required, which will then provide the Zoom link info.
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Computer Science Colloquium
G01 GatesTalk at 11:45am, on Thursdays in G01 Gates Hall and via Zoom.
-
Cornell Learning Machines Seminar
Cornell Tech campus 2 W Loop Rd, New York, NY, United StatesThe 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.