Information about Test

  1. Neuromorphic engineering

    Neuromorphic engineering, also known as neuromorphic computing, is a concept developed by Carver Mead, in the late 1980s, describing the use of very-large-scale

  2. Spintronics

    alloys and are of particular interest in the field of quantum computing and neuromorphic computing. Spintronics emerged from discoveries in the 1980s concerning

  3. Hardware acceleration

    In computing, hardware acceleration is the use of computer hardware specially made to perform some functions more efficiently than is possible in software

  4. Bio-inspired computing

    Bio-inspired computing, short for biologically inspired computing, is a field of study which seeks to solve computer science problems using models of biology

  5. SyNAPSE

    SyNAPSE is a DARPA program that aims to develop electronic neuromorphic machine technology, an attempt to build a new kind of cognitive computer with form

  6. Cognitive computer

    neuromorphic chip, chases IBM in artificial brains". October 17, 2017.

  7. Von Neumann architecture

    automated programming tools possible. It makes "programs that write programs" possible. This has made a sophisticated self-hosting computing ecosystem

  8. Exascale computing

    Exascale computing refers to computing systems capable of at least one exaFLOPS, or a billion billion (i.e. a quintillion) calculations per second. Such

  9. AI accelerator

    processing Cognitive computer Neuromorphic computing Physical neural network Hardware acceleration "Intel unveils Movidius Compute Stick USB AI Accelerator"

  10. SpiNNaker

    air-conditioned environment. SpiNNaker is being used as one component of the neuromorphic computing platform for the Human Brain Project. On October 14, 2018 the HBP