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The MacArthur Foundation honored the Princeton mathematician for “discovering underlying connections between disparate areas of mathematics and proving long-standing mathematical conjectures.” Graduate alum Melanie Matchett Wood is also a MacArthur winner. ....
Donation from legendary investor Bill Miller will support expanded research into emerging subfields of study, help attract promising young researchers ....
E-Mail IMAGE: Scott Aaronson, a Professor of Computer Science at the University of Texas, Austin, has been selected as the recipient of the 2020 ACM Prize in Computing. Aaronson is recognized for. view more Credit: Association for Computing Machinery ACM, the Association for Computing Machinery, today announced that Scott Aaronson has been named the recipient of the 2020 ACM Prize in Computing for groundbreaking contributions to quantum computing. Aaronson is the David J. Bruton Jr. Centennial Professor of Computer Science at the University of Texas at Austin. The goal of quantum computing is to harness the laws of quantum physics to build devices that can solve problems that classical computers either cannot solve, or not solve in any reasonable amount of time. Aaronson showed how results from computational complexity theory can provide new insights into the laws of quantum physics, and brought clarity to what quantum computers will, and will not, ....
When it comes to chess, computers seem to have nothing left to prove. Since IBM’s Deep Blue defeated world chess champion Garry Kasparov in 1997, advances in artificial intelligence have made chess-playing computers more and more formidable. No human has beaten a computer in a chess tournament in 15 years. In new research, a team including Jon Kleinberg, the Tisch University Professor of Computer Science, developed an artificially intelligent chess engine that doesn’t necessarily seek to beat humans – it’s trained to play like a human. This not only creates a more enjoyable chess-playing experience, it also sheds light on how computers make decisions differently from people, and how that could help humans learn to do better. ....