1. GPU

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    2. Aricent Launches Cognitive Services to Bring Artificial Intelligence into the Customer Experience of Products and Services / In collaboration with design and strategy leader frog, Aricent offers customers a product life cycle approach to deliver AI-enabl

      Aricent Launches Cognitive Services to Bring Artificial Intelligence into the Customer Experience of Products and Services / In collaboration with design and strategy leader frog, Aricent offers customers a product life cycle approach to deliver AI-enabl
      ...ss outcome. We are investing in R&D to make the developer experience incredibly easy across model generation, GPU based neural network modeling and be-spoke cognitive architectures," he added. 1. Data-driven design servi...
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  2. Quotes about GPU

    1. There is a staggering potential for GPU/CPU-based systems hybrid solutions to help us address a great number of scientific challenges such as studying living systems, bio-photonics and computational mathematics.
      In Russia Accelerates Scientific Innovation With GPU Supercomputers
    2. We have a small team of developers who have worked on this for a very short time compared to a community that has worked really hard to make this run very fast on a GPU.
      In Microsoft extends FPGA reach from Bing to deep learning
    3. The network has 152 layers because of the limitations of current GPU resources.
      In How Microsoft beat Google at understanding images with machine learning