supercomputer
See the following -
$99 Parallella Supercomputer uses Open Source Hardware
Parallella is a low cost supercomputer designed by Adapteva using Xilinx Zynq-7010/7020 FPGA+2x Cortex A9 SoC combined with Adapteva Ephipany 16 or 64 cores epiphany coprocessor. [...] Read More »
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After A Year Of Medical School, IBM's Watson Passes First Milestone
IBM's year-long residency at Memorial Sloan-Kettering Cancer Center and Wellpoint is finally producing cognitive computing breakthroughs (and two new products). Read More »
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Build Your Own Supercomputer Out Of Raspberry Pi Boards
Who says you need a few million bucks to build a supercomputer? Joshua Kiepert put together a Linux-powered Beowulf cluster with Raspberry Pi computers for less than $2,000. Read More »
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Build Your Own Supercomputer: First $99 Parallella Boards Ship
Who says you need millions for a supercomputer? Not Adapteva, which has started shipping its $99 Parallella single-board parallel processing board. Read More »
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Cleveland Clinic Taps IBM's Watson For Med School
The Supercomputer known as Watson will help medical students at Cleveland Clinic to analyze medical problems and develop evidence-based solutions. Read More »
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IBM And University Scientists Launch Global Computing Effort To Find Cures For Dengue, West Nile, And Hepatitis C Diseases
Researchers Say the 50,000 Years of Computer Time Needed to Discover Cures May Be Achieved in One Year Using World Community Grid Read More »
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IBM's Watson Wants To Fix America's Doctor Shortage
The supercomputer's greatest opponent may be the American healthcare system Read More »
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King's College Accelerates Synthetic Brain 3D Image Creation Using Open Source AI Models and Software Powered by Cambridge-1 Supercomputer
King College London, along with partner hospitals and university collaborators, unveiled new details today about one of the first projects on Cambridge-1, the United Kingdom's most powerful supercomputer. The Synthetic Brain Project is focused on building deep learning models that can synthesize artificial 3D MRI images of human brains. These models can help scientists understand what a human brain looks like across a variety of ages, genders, and diseases. The AI models were developed by King's and NVIDIA data scientists and engineers as part of The London Medical Imaging & AI Centre for Value Based Healthcare research funded by UK Research and Innovation and a Wellcome Flagship Programme (in collaboration with University College London).
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