Learn more about the NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) Consortium at https://commonfund.nih.gov/bridge2ai and https://commonfund.nih.gov/bridge2ai/highlights and related announcements here and here.
Excerpt: The National Institutes of Health will invest $130 million over four years, pending the availability of funds, to accelerate the widespread use of artificial intelligence (AI) by the biomedical and behavioral research communities. The NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program is assembling team members from diverse disciplines and backgrounds to generate tools, resources, and richly detailed data that are responsive to AI approaches. At the same time, the program will ensure its tools and data do not perpetuate inequities or ethical problems that may occur during data collection and analysis. Through extensive collaboration across projects, Bridge2AI researchers will create guidance and standards for the development of ethically sourced, state-of-the-art, AI-ready data sets that have the potential to help solve some of the most pressing challenges in human health — such as uncovering how genetic, behavioral, and environmental factors influence a person’s physical condition throughout their life. …
Excerpt: WASHINGTON, D.C.—Today, the U.S. Department of Energy (DOE) announced $1 million for a one-year collaborative research project to develop artificial intelligence (AI) and machine learning (ML) algorithms for biomedical, personal healthcare, or other privacy-sensitive datasets. This funding is in response to congressional direction for DOE to expand its successful collaborative research efforts with the National Institutes of Health (NIH) in the areas of data and computation. …