ST Introduces Machine Learning Sensors to enhance Activity Tracking
Growing consumer demand for “always-on” motion tracking features in fitness trackers and other personal mobile devices has in the past ...
Read moreGrowing consumer demand for “always-on” motion tracking features in fitness trackers and other personal mobile devices has in the past ...
Read moreMr. Sai Krishna Mopuri, Managing Director, Analog Devices India Pvt. Ltd Analog Devices recently announced the ...
Read moreManchester, UK – 9 July 2019 – Rutronik Elektronische Bauelemente GmbH and the Chinese company Hongfa have entered into a ...
Read moreSTM32CubeProgrammer-new-features 11th July 2019: Making life easier for STM32* microcontroller (MCU) and microprocessor (MPU) users, and further strengthening ...
Read moreThe version 2.0 of the FP-ATR-SIGFOX1 Function Pack, recently available for download, brings the ability to use a Bluetooth Low Energy peer-to-peer ...
Read moreManchester, UK – 4 July 2019 – Rutronik24, the sales organization of Rutronik Elektronische Bauelemente GmbH, set up a dedicated team ...
Read moreMachine-learning technology classifies movement data to improve activity tracking Embedded intelligence and additional enhancements greatly reduce power for longer battery ...
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