Technological advancements in sensing technology makes it possible to take more accurate measurements of brain activity, something computer scientists and neuroscientists say could lead to the discovery of the complex neuronal networks in the brain that allow for simple, automatic movements such as reaching for a glass of water. Virginia Tech and General Motors Research are opening the Laboratory for Neuroinformatics for the purpose of creating algorithms that process the massive amounts of data neuroscientists collect from the brain. The lab will be co-directed by Virginia Tech computer science professor Naren Ramakrishnan and General Motors research scientist K.P. Unnikrishnan. “Neuroscientists are making the transition from studying neurons to studying networks–the sequences of firings and spikes of activity across big groups of neurons,” Ramakrishnan says. “What we are trying to do is analyze all this data and discover something about the network–the connections and relationships.” Unnikrishnan says the many possible applications of neuroscience-related research include analyzing data from cars and maintaining vehicle health. But even greater applications are possible, Unnikrishnan says. “Creation of brain-machine interfaces is the next frontier,” Unnikrishnan says. “Giving senses to people who have lost them–vision, touch, hearing, and motor–would be a contribution to humanity.”
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The number of doctorates awarded in science and engineering (S&E) fields has risen for the fourth consecutive year, according to the National Science Foundation. Last year the United States produced 29,854 doctorate degrees in S&E fields, an increase of nearly 7 percent from the previous year. Computer science doctorates led the way with a 28 percent increase to 1,452 degrees, following a double-digit increase in CS doctorates from the previous year. CS doctorates are up 79 percent since 2002 and now represent a considerable share of not only S&E doctorates but all doctorate degrees. Non-U.S. citizens have been key to the growth in CS doctorate degree production. In the mid-to-late 1990s permanent or temporary visa holders received about half of CS doctorates, but last year they accounted for 61 percent. CS doctorates to U.S. citizens rose 42 percent from 2002 to 2006, but jumped 115 percent for non-U.S. citizens over the same period.
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Academics and software engineers from the universities of Edinburgh, Manchester, and Southampton have established the Software Sustainability Institute (SSI), which will partner with about 30 to 40 research communities across the United Kingdom to develop ways to keep their software current and to help them develop it to meet new requirements. SSI will optimize strategies for sustaining software and provide communities with best practices for improving it for future users. “The issue at the moment is that there are no coordinated ways of sustaining important research software once it comes to the end of its funding,” says SSI director Neil Chue Hong. “The creation of the SSI will ensure that important software is sustained so that it can continue to contribute towards high quality research.”
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Microsoft researchers have developed Sensecam, a system for creating digital archives of a person’s experiences that could help people suffering from memory disorders. Sensecam features a small black box containing a digital camera and an accelerometer to measure movement. Carnegie Mellon University (CMU) researchers had one subject go on three excursions with a Sensecam, a voice recorder, and a global positioning system (GPS) unit. The researchers found that the best way to help the subject remember the experiences was to focus on a few key images that might unlock the memories related to it. For a location-based experience, Sensecam uses data provided by the GPS and the accelerometer to determine which images might be the most salient. “The design is intended to give the patient the ability to engage actively with the experience instead of simply flipping through some pictures,” says CMU’s Matthew Lee. At Dublin City University, Alan Smeaton compares Sensecam images to categorize them by activity. At the University of Toronto, Ronald Baecker is studying the usefulness of complementing Sensecam images with an audio narrative created by a loved one.
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