Today, Majority Leader Chuck Schumer and U.S. Senator Kirsten Gillibrand announced $4,500,000 in federal funding for the development of machine learning models at New York University. The federal funding was allocated through the National Science Foundation and will be used to establish new technologies and software infrastructure necessary for the development of machine learning models that are critical to addressing scientific and engineering challenges.
“I’m proud to support this federal funding for New York University, one our country’s leading research institutions, to develop machine learning models,” said Senator Schumer. “NYU’s project will ensure that New York, and the country, remain at the cutting edge of developing new technologies, like machine learning, to benefit scientific research, educational advancement and economic development. I won’t stop fighting for the federal funds needed to support New York’s research projects and institutions.”
“Investing in emerging technologies like machine learning is critical to addressing the many challenges we face in today’s world,” said Senator Gillibrand. “This investment will help ensure that NYU receives the necessary resources to continue its important work in machine learning development and research. I am proud to announce this funding and will continue to fight for research programs at New York’s colleges and universities.”
“Our team seeks to establish large-scale machine learning models—which have already enabled truly spectacular achievements in language and vision tasks, think for instance of ChatGPT—for materials and molecular discovery. The success of this project will have a dramatic impact on scientific research in this area, and could play an important role in addressing current societal challenges, such as the development of materials for clean energy conversion and energy storage, carbon capture, water purification, drug delivery, as well as in the development of advanced materials for quantum and aerospace technology.” – Stefano Martiniani, Assistant Professor of Physics and Chemistry at New York University and the study’s principal investigator