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Posted by Rob Knies
In early June, Jamie Shotton received a most welcome email from Ramin Zabih, professor of computer science at Cornell Tech and chair of the IEEE Pattern Analysis and Machine Intelligence (PAMI) Technical Committee.Zabih had the responsibility to let a gifted young individual know that he was the 2014 recipient of the PAMI Young Researcher Award. That was the message Shotton received.“I knew I’d been nominated,” he says, “but actually hearing I’d won was rather exciting! I was beaming ear-to-ear for the rest of the day.”
Conventional wisdom holds that the use of GPS satellites to enable indoor mapping is a non-starter. GPS receivers, it is said, simply don’t work indoors, for a variety of reasons. While Earth’s outdoors environment has been mapped extensively, indoor localization of places such as shopping malls or department stores remains an elusive dream.Conventional wisdom, says Jie Liu, is wrong.COIN-GPS: Indoor Localization from Direct GPS Receiving—a paper from Liu and his fellow Microsoft researchers Gerald DeJean, Bodhi Priyantha, Yuzhe Jin, and Ted Hart, along with Shahriar Nirjon of the University of Virginia—challenges current assumptions about the viability of GPS for indoor localization. That paper just won a best-paper award during MobiSys 2014, the 12th International Conference on Mobile Systems, Applications, and Services, held June 16-19 in Bretton Woods, N.H.
Posted by Rob Knies
Operating a datacenter at web scale requires managing many conflicting requirements. The ability to deliver computation at a high level and speed is a given, but because of the demands such a facility must meet, a datacenter also needs flexibility. Additionally, it must be efficient in its use of power, keeping costs as low as possible.Addressing often conflicting goals is a challenge, leading datacenter providers to seek constant performance and efficiency improvements and to evaluate the merits of general-purpose versus task-tuned alternatives—particularly in an era in which Moore’s Law is nearing an end, as some suggest.Microsoft researchers and colleagues from Bing have been collaborating with others from industry and academia to examine datacenter hardware alternatives, and their work, a project known as Catapult, was presented in Minneapolis on June 16 during the 41st International Symposium on Computer Architecture (ISCA).
When the world starts watching, it’s time for David Rothschild to shift into overdrive.Readers of this blog need little introduction to the work on prediction models from Rothschild, a Microsoft researcher and economist. Past posts have examined his efforts to produce accurate forecasts for events such as the 2012 U.S. presidential election, the 2013 and 2014 Academy Awards, the 2014 NCAA men’s basketball tournament, and, recently, India’s general election.So, what’s the next big thing to which he can apply his prognosticative powers?The World Cup, of course.
Advances in computer science in recent years have had dramatic effects on how more traditional sciences are conducted in the 21st century. That has become common knowledge by now, but if you require further proof, just turn to the June 6 issue of Science.That magazine includes a paper, co-written by Microsoft researchers in concert with a couple of academic collaborators, that details how a new, computational model can explain how genes interact to keep mouse embryonic stem (ES) cells in an unspecialized state.The scientific term for such a state is “pluripotency,” the potential of a stem cell to differentiate into specialized directions, such as those that can develop into brain cells or heart cells or lung cells. The achievement outlined in the Science piece would not have been possible by biologists alone, nor by computer scientists alone. By working together, though, they have been able access a significant key to the magic of life.