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Bridge to Artificial Intelligence (Bridge2AI)

The NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program will propel biomedical research forward by setting the stage for widespread adoption of artificial intelligence (AI) that tackles complex biomedical challenges beyond human intuition. A key step in this process is generating new “flagship” data sets and best practices for machine learning analysis. Machine learning is a type of Artificial Intelligence (AI) that provides machines (like computers) the ability to automatically learn and improve from experience, without being explicitly programmed. The biomedical research community generates a wealth of data, but most of these data are not suitable for machine learning because they are incomplete. By bringing technological and biomedical experts together with social scientists and humanists, the Bridge2AI program will help bring solutions to this deficit. (Retrieved from the NIH Common Fund site)

TRAINING & OUTREACH

Voice AI Summer School Lecture Series

The Voice AI summer school is the first specialized training program in utilizing voice data for the development of AI models. The series of lectures covered the Bridge2AI Voice dataset, including voice data collection, storage, access, and analysis, and were presented by Satrajit Ghosh, PhD, Alistair Johnson, DPhil, and Alexandros Sigaras.

Starts: July 19, 2024

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  • Filename:

    tkg 2.0.zip

    Creator: Bridge2AI

    Filesize: 289.8 Mb

    Date Modified: 3/1/2024

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@CFDE Workbench 2024
The CFDE Workbench is actively being developed and maintained by the CFDE Data Resource Center (DRC).The DRC is funded by OT2OD036435 from the Common Fund at the National Institutes of Health.



The CFDE Workbench is actively being developed and maintained by the CFDE Data Resource Center (DRC).The DRC is funded by OT2OD036435 from the Common Fund at the National Institutes of Health.
@CFDE Workbench 2024