MUNICH, Germany – Analog AI chip company Blumind showed off test silicon for its keyword spotting chip, which uses 10 nJ per inference, at electronica 2024.

“What’s been particularly gratifying is that over the last year, there’s been more pull than us pushing, people have been coming to us specifically asking for analog AI solutions because they believe something new needs to happen, and this is the only realistic path that could get to production,” Blumind co-founder Niraj Mathur told EE Times.

Wearable devices are top of the list of target applications, but customers are also coming to Blumind with applications like automotive and healthcare in mind. One customer wanted to built a tire pressure monitoring system (TPMS) with an accelerometer to calculate details of road conditions.

“It’s great for an autonomous vehicle if it can tell whether it’s driving on snow, ice, gravel or whatever,” Mathur said. “They need extreme power efficiency because it’s sitting in the tire, it’s got to last the lifetime of the tire, you don’t want to open up the tire to change the battery. That’s a great use case for us.”

11/21/2024 |  Elektrik - Elektronik Mühendisliği