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Engineering Profs Robotics and Composite Materials Research Win $1M in Funding

Edwin L. Aguirre Two researchers from the Department of Mechanical Engineering – Asst. Profs. Yan Gu and Marianna Maiaru – were recognized by the National Science Foundation (NSF) and the U.S. Air Force, respectively, with faculty early career development grants totaling $1,015,000. The funding will help advance research on robot walking and the process modeling of composite materials. Gu received a five-year NSF CAREER grant, worth nearly $565,000, for research that would develop new methods in modeling, analyzing and controlling the movement of legged robots to keep them stable and upright while walking on nonstationary surfaces. The CAREER grant is the NSF’s most prestigious award in support of early-career faculty who demonstrate strong potential to lead research breakthroughs in their organizations.

Scientists Optimize Process to Convert Waste from Rubber Tires into Graphene

Scientists Optimize Process to Convert Waste from Rubber Tires into Graphene Written by AZoMMar 30 2021 This could be where the rubber truly hits the road. Rice University scientists have optimized a process to convert waste from rubber tires into graphene that can, in turn, be used to strengthen concrete. The environmental benefits of adding graphene to concrete are clear, chemist James Tour said. Concrete is the most-produced material in the world, and simply making it produces as much as 9% of the world s carbon dioxide emissions, Tour said. If we can use less concrete in our roads, buildings and bridges, we can eliminate some of the emissions at the very start.

Rice, Intel optimize AI training for commodity hardware

Credit: Photo by Jeff Fitlow/Rice University HOUSTON (April 7, 2021) Rice University computer scientists have demonstrated artificial intelligence (AI) software that runs on commodity processors and trains deep neural networks 15 times faster than platforms based on graphics processors. The cost of training is the actual bottleneck in AI, said Anshumali Shrivastava, an assistant professor of computer science at Rice s Brown School of Engineering. Companies are spending millions of dollars a week just to train and fine-tune their AI workloads. Shrivastava and collaborators from Rice and Intel will present research that addresses that bottleneck April 8 at the machine learning systems conference MLSys.

FDR had the Great Depression, but Biden has big data

FDR had the Great Depression, but Biden has big data
japantimes.co.jp - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from japantimes.co.jp Daily Mail and Mail on Sunday newspapers.

Rice, Intel optimize AI training for commodity hardware

Rice, Intel optimize AI training for commodity hardware
miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.

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