Artificial Intelligence

artificial intelligence neurosynaptic network human brain


OXFORD, England – Although the bleeding edge of artificial intelligence has provided us with powerful tools that can outmatch us in specific tasks and best us in even our most challenging games, they all operate as isolated algorithms with none of the incredible associative power of the human brain. Extreme Tech reports. Continue reading original article

The Military & Aerospace Electronics take:

21 May 2019 — Current computational architectures can’t match the efficiency of the human mind, but a composite team of researchers from the Universities of Münster, Oxford, and Exeter discovered a way to begin narrowing that gap by creating a small artificial neurosynaptic network powered by light.

The multinational research team that replicated an artificial neurosynaptic network used four neurons and 60 synapses arranged with 15 synapses per neuron.

On its own, the cerebrum in the human brain contains billions of neurons. With an even larger number of synapses (a ratio of about 10,000:1), when you consider the difference in scale, it’s easy to see how this major accomplishment only serves as an initial step in a long journey.

Related: Artificial intelligence and new levels of machine learning are aims of IARPA MICrONS program

Related: Siemens, Carnegie Mellon, and HRL pursue artificial intelligence to analyze images and text

Related: The next ‘new frontier’ of artificial intelligence

John Keller, chief editor
Military & Aerospace Electronics



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