AI News

UAlbany Vice President for Research and Economic Development Thenkurussi “Kesh” Kesavadas shared his vision for the Albany Artificial Intelligence Supercomputing Initiative — Albany A.I. — a $200 million public-private supercomputing initiative based out of UAlbany’s soon-to-be renovated College of Engineering and Applied Sciences (CEAS) building with the The Engagement Ring.

With the goal of becoming the first university-based computer to reach a quintillion computations per second, Albany AI will empower university and industry researchers to harness massive data sets to better understand how to automate complex operations, and create teaching and research collaborations with faculty in all disciplines.

The University at Albany today began a new era of teaching and research with the launch of Albany AI, a $200 million public-private supercomputing initiative based out of UAlbany’s soon-to-be-renovated College of Engineering and Applied Sciences building. Buoyed by $75 million in state funding to complete the transformation of the former Albany High School into a state-of-the-art engineering college and fund the construction of a supercomputer, the Albany Artificial Intelligence Supercomputing Initiative (Albany AI) will significantly expand New York’s capacity in this major emerging field.

The project adds to a growing relationship between IBM and the University's weather and climate researchers.

With the increased use of AI applications by public services and agencies, researchers at the University at Albany have taken on lead roles in producing a special issue on Artificial Intelligence in Government for Social Science Computer Review.

How can we have rational trust in Artificial Intelligence systems? Jason D’Cruz of Philosophy, working with PhD Candidate Saleh Afroogh, has set out to develop the foundations of a trustworthiness assessment framework to apply to AI.

Researchers at the Atmospheric Sciences Research Center (ASRC) are contributing to a new National Science Foundation (NSF) institute that will advance the use of artificial intelligence (AI) and machine learning technologies to improve our understanding of weather and climate, including its societal impacts and related decision-making.