Neural Computing

  • CeBIT 2017: Analysis software for neural networks – Watching computers think

    Fraunhofer HHI’s analysis software uses algorithms to visualize complex learning processes (schematic diagram). © Fraunhofer HHI

    Neural networks are commonly used today to analyze complex data – for instance to find clues to illnesses in genetic information. Ultimately, though, no one knows how these networks actually work exactly. That is why Fraunhofer researchers developed software that enables them to look into these black boxes and analyze how they function. The researchers will present their software at CeBIT in Hannover from March 20 to 24, 2017 (Hall 6, Booth B 36).

  • Researchers Take a Step Towards Light-based, Brain-like Computing Chip

    Schematic illustration of a light-based, brain-inspired chip. The chip contains an artificial network of neurons and synapses that works with light. Johannes Feldmann

    Researchers from the Universities of Münster (Germany), Oxford and Exeter (both UK) have succeeded in developing a piece of hardware which could pave the way for creating computers which resemble the human brain. The scientists produced a chip containing a network of artificial neurons that works with light and can imitate the behaviour of neurons and their synapses. The network is able to “learn” information and use this as a basis for computing and recognizing patterns. As the system functions solely with light and not with electrons, it can process data many times faster than traditional systems. The study is published in “Nature”.

  • White Paper Highlights Federal Vision for Nanotechnology-Inspired Grand Challenge for Future Computing

    (July 29, 2016) Today, Federal agencies participating in the National Nanotechnology Initiative (NNI) released a white paper describing the collective Federal vision for the emerging and innovative solutions needed to realize the Nanotechnology-Inspired Grand Challenge for Future Computing.