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Machine-learning capable motion sensors intended for IoT


Machine-learning capable motion sensors intended for IoT
Qeexo, developer of the Qeexo AutoML automated machine-learning (ML) platform, and STMicroelectronics have announced the availability of ST’s machine-learning core (MLC) sensors on Qeexo AutoML.
While ST’s MLC sensors are able to substantially reduce overall system power consumption by running sensing-related algorithms, built from large sets of sensed data, that would otherwise run on the host processor. By using this sensor data, the Qeexo AutoML can automatically generate highly optimised machine-learning solutions for Edge devices.
With ultra-low latency, ultra-low power consumption, and a very small memory footprint these algorithmic solutions are able to overcome die-size-imposed limits to computation power and memory size, with efficient machine-learning models for the sensors that extend system battery life. ....

Simone Ferri , Qeexo Auto , Sensors Division , Sang Won Lee , Division Director , சிமோன் ஃபெர்ரி , சென்சார்கள் பிரிவு , பாடினார் வென்றது லீ , பிரிவு இயக்குனர் ,

Qeexo and STMicroelectronics Speed Development of Next-Gen IoT Applications with Machine-Learning Capable Motion Sensors

Qeexo and STMicroelectronics Speed Development of Next-Gen IoT Applications with Machine-Learning Capable Motion Sensors
eejournal.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from eejournal.com Daily Mail and Mail on Sunday newspapers.

Simone Ferri , Qeexo Auto , Sensors Division , Mountain View , Sang Won Lee , Division Director , சிமோன் ஃபெர்ரி , சென்சார்கள் பிரிவு , மலை பார்வை , பாடினார் வென்றது லீ , பிரிவு இயக்குனர் ,