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New (Neuromorphic) Computing

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John Benson's picture
Senior Consultant, Microgrid Labs

PROFESSIONAL EXPERIENCE: Microgrid Labs, Inc. Advisor: 2014 to Present Developed product plans, conceptual and preliminary designs for projects, performed industry surveys and developed...

  • Member since 2013
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  • Oct 26, 2021

This item is part of the Advances in Utility Digitalization - October 2021 SPECIAL ISSUE, click here for more

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I spent most of my career working on computers using various software, some of which I developed myself. However, I really don’t consider myself a computer (or software) professional, as I’ve always remained focused on the application or end product, not the computing system or language that helps me achieve it.

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In fact I tend to be very dismissive of phrases like smart grid and artificial intelligence. Yes I understand some of the devices that use AI have achieved useful results, but with several major drawbacks.

Finally, a relatively new class of AI described in the title may achieve a degree of intelligence, and in any case is a major advance in computing. Why? Look at its name, it imitates the human brain.

Jon Watkins's picture
Jon Watkins on Nov 5, 2021

Great article! I would love to see how these new chips would respond in a cyber security setting; or when trained on malicious samples found in emails, for example. Seems like there is great potential for this type of silicon to enhance our daily lives!

John Benson's picture
John Benson on Nov 5, 2021

Thanks for the response.

Although I've done quite a bit of cyber work (mainly related to FERC CIP requirements), it used conventional tools and techniques (see the paper through the link below). What Neuromorphic computing excels at is pattern recognition in a noisy environment. It's not beyond reason that some really smart analysts will invent some new security methods based on this capability.


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Thank John for the Post!
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