Department News
Rensselaer Polytechnic Institute’s Deborah McGuinness has been elected a fellow of the Association for the Advancement of Artificial Intelligence (AAAI) “for significant contributions to the semantic web, knowledge representation and reasoning environments, and deployed artificial intelligence applications.” AAAI is a nonprofit scientific society that promotes research in artificial intelligence and its responsible use. The AAAI fellows program recognizes people who have “made significant, sustained contributions to the field of artificial intelligence.”
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Are there other Earth-like planets? Is there extraterrestrial life? In the quest to find planets that orbit stars other than the sun, “Earth 2.0” is the Holy Grail. Earth 2.0 is a planet similar enough to Earth to enable the existence of life as we know it. It would be the right temperature for liquid water, and it would orbit a star with a steady supply of light. Ideally, it would be close enough that we could imagine going there or at least sending a probe to explore it.
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Five computer science students from Rensselaer Polytechnic Institute attended the CMD-IT/ACM Richard Tapia Celebration of Diversity in Computing Conference in Washington, D.C., in September 2022.
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Advancement will save future scientists months of time and countless dollars
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A few years ago, Rensselaer Polytechnic Institute’s Sasha Wagner, assistant professor of earth and environmental sciences, proved false what scientists had thought for years. Soot-like molecules that formed an ancient carbon pool deep in the Pacific Ocean did not, in fact, originate from wildfires on land.
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Dr. Yangyang Xu, assistant professor of mathematical sciences at Rensselaer Polytechnic Institute, has received a $250,000 grant from the National Science Foundation (NSF) to research challenges associated with distributed big data in machine learning.
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Rensselaer Polytechnic Institute’s Scott Forth, assistant professor of biological sciences, and Peter Kramer, professor of mathematical sciences, have received a $359,572 grant from the National Science Foundation (NSF) to develop a better understanding of a cellular process that, when errors occur, is linked to cancer.
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