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In recent years, the race to build the fastest computers has been joined by a parallel competition to design the most energy-efficient machines. The colossal data centers supporting cloud computing and web applications consume massive amounts of energy, using electricity to both run and cool their tens of thousands of servers. As engineers look for new CPU designs that reduce energy usage, scientists from Northwestern University and Argonne National Laboratory are seeking an AI-based solution, using the cloud computing testbed Chameleon to reduce power through smarter task traffic.

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One of the world’s hubs of computation in particle physics sits inconspicuously at the corner of 56th Street and Ellis Avenue on the University of Chicago campus. Read how work from UChicago's ATLAS group and the Computation Institute helps support cutting-edge research at CERN's Large Hadron Collider.

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On November 1st, the Computation Institute and the Center for Research Informatics invited University of Chicago students to eat lunch and hear about opportun