Hewlett-Packard (HP) Labs announced the opening of a new research and development (R&D) center in Singapore. The Singapore lab will work with HP labs in Bristol, England, and Palo Alto, Calif., on research in cloud computing and software development. The Singapore lab is located in a government-owned research facility called Fusionopolis. HP says the lab in part will work to meet the needs of telecom companies. According to a recent National Science Foundation report, Singapore, China, and South Korea are the fastest growing countries for overseas R&D by U.S. companies. The Singapore lab is part of HP’s renewed effort to generate cutting-edge technology developments from its scientific centers in Asia, Europe, and the Middle East. HP Labs director Prith Banerjee has urged labs in China, England, India, Israel, and Russia to work with each other to produce more inventions that can be turned into revenue-producing technology for the company.
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Japanese scientists have developed a statistical program that could enable portable baby-monitoring devices to determine whether infant cries mean a baby is sleepy, hungry, needs a change, or is in pain. Tomomasa Nagashima and colleagues at the Muroran Institute of Technology used a sound pattern recognition strategy to analyze infants’ crying patterns. The team analyzed the frequency of cries and the power function of the audio spectrum to classify different types of crying. Nagashima and colleagues were able to correlate the different recorded audio spectra with the emotional state of a baby as confirmed by the parents. Recordings of a crying baby with a painful genetic disorder helped the researchers differentiate the cries of babies who are in pain. They were able to achieve a 100 percent success rate in classifying pained cries and normal cries via their technique.
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The fusion of high-performance computing (HPC) and high-performance data (HPD) could potentially result in the generation of robust systems that are at least one order of magnitude faster than anything the HPC community currently uses for certain applications, says San Diego Supercomputer Center (SDSC) interim director Michael Norman. Last November, SDSC announced plans to construct Gordon, a data-intensive supercomputer that is expected to read latency-bound files at 10 times the speed and efficiency of current HPC systems with the help of flash memory solid state drives. Ultimately, Gordon will possess 245 teraflops of total compute power, 64 TB of digital random access memory, and 256 TB of flash memory. Gordon also will assist in the integration of HPC and HPD because it is designed for data-intensive predictive science as well as data-mining applications.
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