Beyond von Neumann, Neuromorphic Computing Steadily Advances

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Both projects are part of the European Human Brain Project, originally funded by the European Commission's Future Emerging Technologies program (2005-2015). With more than one million cores, and one thousand simulated neurons per core, SpinNNaker should be capable of simulating one billion neurons in real-time. Dharmendra Modha, IBM fellow and chief scientist for brain-inspired computing, wrote an interesting commentary on the TrueNorth project that traces development of von Neumann architecture based computing and contrasts it with neuromorphic computing approaches: Introducing a Brain-inspired Computer. TrueNorth chip, introduced in August 2014, is a neuromorphic CMOS chip that consists of 4,096 hardware cores, each one simulating 256 programmable silicon "neurons" for a total of just over a million neurons.


Lawrence Livermore and IBM collaborate to build new brain-inspired supercomputer

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Lawrence Livermore National Laboratory (LLNL) today announced it will receive a first-of-a-kind brain-inspired supercomputing platform for deep learning developed by IBM Research. Based on a breakthrough neurosynaptic computer chip called IBM TrueNorth, the scalable platform will process the equivalent of 16 million neurons and 4 billion synapses and consume the energy equivalent of a hearing aid battery – a mere 2.5 watts of power. The brain-like, neural network design of the IBM Neuromorphic System is able to infer complex cognitive tasks such as pattern recognition and integrated sensory processing far more efficiently than conventional chips. The new system will be used to explore new computing capabilities important to the National Nuclear Security Administration's (NNSA) missions in cybersecurity, stewardship of the nation's nuclear weapons stockpile and nonproliferation. NNSA's Advanced Simulation and Computing (ASC) program will evaluate machine-learning applications, deep-learning algorithms and architectures and conduct general computing feasibility studies.


Lawrence Livermore, IBM Develop Brain-inspired Supercomputer

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LIVERMORE, Calif. and ARMONK, N.Y. - 29 Mar 2016: Lawrence Livermore National Laboratory (LLNL) today announced it has purchased a first-of-a-kind brain-inspired supercomputing platform for deep learning inference developed by IBM (NYSE: IBM) Research. Based on a breakthrough neurosynaptic computer chip called IBM TrueNorth, the scalable platform will process the equivalent of 16 million neurons and 4 billion synapses and consume the energy equivalent of a tablet computer – a mere 2.5 watts of power for the 16 TrueNorth chips. The brain-like, neural network design of the IBM Neuromorphic System is able to infer complex cognitive tasks such as pattern recognition and integrated sensory processing far more efficiently than conventional chips. "Neuromorphic computing opens very exciting new possibilities and is consistent with what we see as the future of the high performance computing and simulation at the heart of our national security missions," said Jim Brase, LLNL deputy associate director for Data Science. "The potential capabilities neuromorphic computing represents and the machine intelligence that these will enable will change how we do science."


IBM reveals 'neurosynaptic' chip that can replicate neurons

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It is the nearest thing to a human brain in silicon form. Lawrence Livermore National Laboratory (LLNL) and IBM have revealed a new deep learning supercomputer they say could boost AI systems. Based on a'neurosynaptic' computer chip called IBM TrueNorth, it can replicate the equivalent of 16 million neurons and 4 billion synapses - yet consumes just 2.5 watts, the energy equivalent of a hearing aid battery. TrueNorth can replicate the equivalent of 16 million neurons and 4 billion synapses - yet consumes just 2.5 watts, the energy equivalent of a hearing aid battery. A single TrueNorth processor consists of 5.4 billion transistors wired together to create an array of 1 million digital neurons that communicate with one another via 256 million electrical synapses.


International Business Machines Corp. Develops Brain-Inspired Supercomputer - Artificial Intelligence Online

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Lawrence Livermore National Laboratory (LLNL) has purchased a new brain-inspired supercomputing platform developed by International Business Machines Corp (NYSE:IBM). Based on a breakthrough neurosynaptic computer chip called IBM TrueNorth, the scalable platform will process the equivalent of 16 million neurons and 4 billion synapses while consuming only the energy equivalent of a tablet computer. The brain-like, neural network design of the IBM neuromorphic system is able to run complex cognitive tasks such as pattern recognition and integrated sensory processing far more efficiently than conventional chips. LLNL will receive a 16-chip TrueNorth system representing a total of 16 million neurons and 4 billion synapses. The new system will be used to explore new computing capabilities important to the National Nuclear Security Administration (NNSA) missions in cybersecurity, stewardship of the nation's nuclear weapons stockpile and nonproliferation.