Computer Science
Lawrence Livermore National Laboratory in partnership with Intel and Cray, today announced a unique high performance computing (HPC) cluster that will serve research scientists at all three institutions and provide a proving ground for new HPC and Big Data technologies and architectures.
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$5.5M NASA-funded research collaborative will pave the way for future space exploration.
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Two back-to-back major international conferences focused on data science and the information it can provide business, education, and healthcare leaders will bring global attention to Little Rock in early November.
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NSF-funded “information superhighway” to connect UC San Diego with 100gbps data networks.
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Agilent Technologies Inc. and Healex Systems Ltd. today announced that Healex’s ChemLaunch remote instrument access and control software now operates with Agilent’s OpenLAB CDS ChemStation Edition chromatography data system software.
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Marinda Li Wu, Ph.D., president of the American Chemical Society (ACS), the world’s largest scientific society, comments on today’s award of the Nobel Prize in Chemistry to Martin Karplus, Ph.D., of the Université de Strasbourg and Harvard University; Michael Levitt, Ph.D., of Stanford University; and Arieh Warshel, Ph.D., of the University of Southern California.
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The best mobile lab apps have ties to instrumentation and are freely downloadable
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New York University has established a collaborative research initiative with IBM and three other universities to advance the development and deployment of cognitive computing systems.
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Neurofeedback can enhance the signal-to-noise ratio in thought, enabling a sharper focus on tasks—and a better understanding of brain-computer interfaces.
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Lawrence Livermore National Laboratory's High Performance Computing Innovation Center (HPCIC) and the Science and Technology Facilities Council (STFC) in the United Kingdom will collaborate to expand industry's use of supercomputing to boost economic competitiveness in the two countries.
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Making sense of the ever-increasing mounds of data is one of the great challenges facing researchers today. At Missouri University of Science and Technology, staff and students in the information technology department have come up with an approach to help researchers gain a new perspective on their data.
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Today’s computing chips are incredibly complex and contain billions of nano-scale transistors, allowing for fast, high-performance computers, pocket-sized smartphones that far outpace early desktop computers, and an explosion in handheld tablets. Despite their ability to perform thousands of tasks in the blink of an eye, none of these devices even come close to rivaling the computing capabilities of the human brain. At least not yet.
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