Machine Learning in Medicine
VirtualVirtual lecture series on topics across machine learning in medicine, featuring extensive Q & A and panel discussions.
10 events found.
Cornell EMPIRE AI Weekly Forum
Virtual Event
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 14.
Please register for the series, which will then provide the Zoom link info
Seminar @ Cornell Tech: CS Candidate Mark Zhao
Bloomberg Center Room 401 / Cornell Tech Campus / NYCIn this talk, Zhao will emphasize the importance of building scalable systems across the entire ML pipeline. In particular, Zhao will explore how large-scale ML training pipelines, including those deployed at Meta, require distributed data storage and ingestion systems to manage massive training datasets. Optimizing these data systems is essential as data demands continue to grow. To achieve this, Zhao will demonstrate how synergistic optimizations across the training data pipeline can unlock performance and efficiency gains beyond what isolated system optimizations can achieve.
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.
Machine Learning in Medicine
VirtualVirtual lecture series on topics across machine learning in medicine, featuring extensive Q & A and panel discussions.
Johnson Cornell Tech 10 Year Anniversary Celebration
Cornell Tech campus 2 W Loop Rd, New York, NY, United StatesEnjoy an afternoon of insights from industry leaders and faculty, and reconnect with classmates, fellow alumni, and current JCT MBA students.
Cornell EMPIRE AI Biweekly Forum
Virtual Event
Held every other Friday 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. Biweekly forums are scheduled throughout the Spring 2025 semester starting February 14.
Please register for the series, which will then provide the Zoom link info
HealthNext AI Summit 2025 – Day 1
Cornell Tech campus 2 W Loop Rd, New York, NY, United StatesNow in its third year, the 2025 Summit will bring together scientists, entrepreneurs, health system leaders, payors, and providers to explore the evolution of health AI across such topics as:
Leveraging AI for drug discovery, medical imaging, genomics, and more
Beyond chatbots: how generative AI is reshaping mental health
Rethinking healthcare law and policy in the age of AI
The rise of AI and the future of medical education
Building together: AI and physician-technologist entrepreneurship
How AI can help with affordability, equity, and transparency in healthcare
Entrepreneurship, investments, and deep science in healthcare AI
HealthNext AI Summit 2025 – Day 2
Cornell Tech campus 2 W Loop Rd, New York, NY, United StatesNow in its third year, the 2025 Summit will bring together scientists, entrepreneurs, health system leaders, payors, and providers to explore the evolution of health AI across such topics as:
Leveraging AI for drug discovery, medical imaging, genomics, and more
Beyond chatbots: how generative AI is reshaping mental health
Rethinking healthcare law and policy in the age of AI
The rise of AI and the future of medical education
Building together: AI and physician-technologist entrepreneurship
How AI can help with affordability, equity, and transparency in healthcare
Entrepreneurship, investments, and deep science in healthcare AI
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.