Machine learning for sensors

Fraunhofer-Gesellschaft June 3, 2019

https://phys.org/news/2019-06-machine-sensors.html

Researchers at the Fraunhofer Institute for Microelectronic Circuits and Systems IMS have developed AIfES, an artificial intelligence (AI) concept for microcontrollers and sensors that contains a completely configurable artificial neural network. AIfES is a platform-independent machine learning library which can be used to realize self-learning microelectronics requiring no connection to a cloud or to high-performance computers. The sensor-related AI system recognizes handwriting and gestures, enabling for example gesture control of input when the library is running on a wearable.

a machine learning library programmed in C that can run on microcontrollers, but also on other platforms such as PCs, Raspberry PI and Android.

+++++++++++++++++
more about machine learning in this IMS blog
https://blog.stcloudstate.edu/ims?s=machine+learning