6 Replies
techielew
techielew12mo ago
Another cool link. As a deep tech journalist there has been so much advancement in DLAs, NPUs, etc etc I wonder how much these are being adopted in actual designs. The technology is moving way faster than the lifecycles of most non-consumer products. Anyone have thoughts on this? Have SOCs with AI accelerators been adopted in any of your designs, and if so, what is the product and how are those blocks being used?
Navadeep
Navadeep12mo ago
I haven't used them in any of my designs yet - but the one above is targeting datacenter application. There are some products like (https://www.st.com/content/st_com/en/ecosystems/MEMS-Sensors-Ecosystem-for-Machine-Learning.html) which have a small ML engine integrated with senor that can make decisions based on real-time sensor data. Like you want to see the time in a smart-watch every time you make a gesture of flipping the wrist as we do to see in an analog watch. Here the system can be optimzed based on pervious gestures made and maybe feed different gestures for different actions. Would like to what others think and if any applications you've come across...
techielew
techielew12mo ago
Just curious, have you dabbled in AI/ML algorithm development at all or do you leave that to the data nerds? Wonder if we should invite some of them to the server once we start getting into applications...
Navadeep
Navadeep12mo ago
Me no - but a lot of embedded guys do. Not on a hardcore math level but using some intuitive tools like SensiML(https://sensiml.com/). Certainly it would be great if we can have some algorithm people here. They view the world from data/optimization/accuracy point of view.
Chris Rogers
SensiML
SensiML -Making Sensor Data Sensible
SensiML is the pioneer of software tools for compact AI processing on IoT endpoints. Build product worthy TinyML code for your IoT sensor app with SensiML.
techielew
techielew12mo ago
I know Chris. I'll invite him.
techielew
techielew12mo ago
Any other tools you're interested in? Or anyone else?
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