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3 questions with Jeremy Holleman: How to design and develop ultra-low-power AI processors

Ultra-low-power AI chips are quietly enabling ML deployment everywhere. Syntiant's new architecture could change how we think about edge AI.

Reporting by Amazon Science 1 min brief
Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
The infrastructure powering AI.AI illustration by KeyNews
The KeyNews take

Why it matters

As AI moves from cloud to edge, power consumption becomes the critical bottleneck. Syntiant's ultra-low-power processors could unlock AI deployment in previously impossible use cases, from IoT devices to always-on voice assistants.

The key facts

3 to know

  1. Syntiant is an Alexa Fund portfolio company

  2. New processor architecture enables ultra-low-power AI

  3. Technology allows machine learning deployment 'practically anywhere'

Go to the source

Amazon Scienceamazon.science

Publisher excerpt: Holleman, the chief scientist of Alexa Fund company Syntiant, explains why the company’s new architecture allows machine learning to be deployed practically anywhere.
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