Machine learning (ML) is all about massive amounts of processing, DSP, etc., right? Maybe not, according to the team at Aspinity. The company continues to push ahead on the analog front. The latest member of the company’s analogML family, the AML100, operates completely in the analog domain. As a result, it can reduce always-on system power by 95% (for the record, we had to walk through this a couple of times before I believed them).

Are you familiar with “analog machine learning?” If the answer is yes, then you’re likely in the minority.

AnalogML enables system-level efficiency by operating completely within the analog domain.

Embedded World 2020 is right around the corner, and the Insiders spend a few minutes forecasting what they expect to see at the show. They interview Tom Doyle of Aspinity on analog computing in AI.