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Cover image for New AI Chip Processes 60,000 Images per Second Using Fraction of Power Needed by Traditional Systems
Mike Young
Mike Young

Posted on • Originally published at aimodels.fyi

New AI Chip Processes 60,000 Images per Second Using Fraction of Power Needed by Traditional Systems

This is a Plain English Papers summary of a research paper called New AI Chip Processes 60,000 Images per Second Using Fraction of Power Needed by Traditional Systems. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Overview

  • New 65nm Tsetlin Machine chip for efficient image classification
  • Processes 60,300 MNIST images per second
  • Uses only 8.6 nanojoules of energy per image
  • All-digital design with no analog components
  • Achieves 98.2% accuracy on MNIST dataset
  • First hardware implementation of Coalesced Tsetlin Machine architecture

Plain English Explanation

The researchers built a specialized computer chip that can recognize handwritten numbers really fast while using very little power. The chip uses a new kind of artificial intelligence called a [Tsetlin Machine](https://aimodels.fyi/papers/arxiv/optimized-toolbox-advanced-image-...

Click here to read the full summary of this paper

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