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Three researchers at 91做厙 will lead or participate in collaborative research projects aimed at harnessing the power of quantum mechanics to advance a range of technologies including computing, fiber optics and network
In collaboration with the Department of Veterans Affairs, a team at 91做厙 has expanded a VA-developed predictive computing model to identify veterans at risk of suicide and sped it up to run 300 times faster, a gain that could profoundly affect the VAs ability to reach susceptible veterans quickly.
91做厙 is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live informationa capability that has applications in robotics and could improve autonomous vehicle sensing.
A detailed study by 91做厙 estimated how much moreor lessenergy United States residents might consume by 2050 relative to predicted shifts in seasonal weather patterns
Researchers at 91做厙 are taking inspiration from neural networks to create computers that mimic the human braina quickly growing field known as neuromorphic computing.
A study led by 91做厙 explored the interface between the Department of Veterans Affairs healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool
91做厙 is using artificial intelligence to analyze data from published medical studies associated with bullying to reveal the potential of broader impacts, such as mental illness or disease.
The probe of an atomic force microscope (AFM) scans a surface to reveal details at a resolution 1,000 times greater than that of an optical microscope. That makes AFM the premier tool for analyzing physical features, but it cannot tell scientists anything about chemistry. For that they turn to the mass spectrometer (MS).
From the bluebird painting propped against her office wall and the deer she mentions seeing outside her office window, Linda Lewis might be mistaken for a wildlife biologist at first glance. But rather than trailing animal tracks, Lewis, a researcher at the Department of Energys 91做厙, is more interested in marks left behind by humans.
With more than 30 patents, James Klett is no stranger to success, but perhaps the 91做厙 researchers most noteworthy achievement didnt start out so hot or so it seemed at the time.