Tag: neuromorphic computing

IBM Advances Neuromorphic Computing for Deep Learning

Sep 29, 2016 |

Deep learning efforts today are run on standard computer hardware using convolutional neural networks. Indeed the approach has proven powerful by pioneers such as Google and Microsoft. In contrast neuromorphic computing, whose spiking neuron architecture more closely mimics human brain function, has generated less enthusiasm in the deep learning community. Now, work by IBM using its TrueNorth chip as a test case may bring deep learning to neuromorphic architectures.

Larry Smarr Helps NCSA Celebrate 30th Anniversary

Sep 20, 2016 |

Throughout the past year, the National Center for Supercomputing Applications has been celebrating its 30th anniversary. On Friday, Larry Smarr, whose unsolicited 1983 proposal to the National Science Foundation (NSF) begat NCSA in 1985 and helped spur NSF to create not one but five national centers for supercomputing, gave a celebratory talk at NCSA.

Think Fast – Is Neuromorphic Computing Set to Leap Forward?

Aug 15, 2016 |

Steadily advancing neuromorphic computing technology has created high expectations for this fundamentally different approach to computing. Its strengths – like the human brain it attempts to mimic – are pattern recognition (space and time) and inference reasoning. Advocates say it will also be possible to compute at much lower power than current paradigms. At ISC Read more…

Nanotech Grand Challenge & Federal Vision for Future Computing

Aug 8, 2016 |

What will computing look like in the post Moore’s Law era? There’s no shortage of ideas. A new federal white paper – A Federal Vision for Future Computing: A Nanotechnology-Inspired Grand Challenge – tackles the ‘what’s next’ question and spells out seven specific research and development priorities and identifies the federal entities responsible.

IBM Phase Change Device Shows Promise for Emerging AI Apps

Aug 3, 2016 |

IBM Research today announced a significant advance in phase-change memristive technology – based on chalcogenide-based phase-change materials – that IBM says has the potential to achieve much higher neuronal circuit densities and lower power in neuromorphic computing. Also, for the first time, researchers demonstrated randomly spiking neurons based on the technology and were able to Read more…

Beyond von Neumann, Neuromorphic Computing Steadily Advances

Mar 21, 2016 |

Neuromorphic computing – brain inspired computing – has long been a tantalizing goal. The human brain does with around 20 watts what supercomputers do with megawatts. And power consumption isn’t the only difference. Fundamentally, brains ‘think differently’ than the von Neumann architecture-based computers. While neuromorphic computing progress has been intriguing, it has still not proven very practical.

Carver Mead on Quantum Computing and Neuromorphic Design

Nov 25, 2013 |

Computer scientist, inventor and university physicist Carver Mead is perhaps best known for coining the phrase “Moore’s law,” helping to popularize Gordon Moore’s 1965 observation that the number of transistors on an integrated circuit doubles about every 24 months. Mead was also instrumental in the prediction’s tremendous staying power. One of Mead’s most significant contributions Read more…