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Articles related to STMicroelectronics

STMicroelectronics Eases Connected-Sensor Design with User-Friendly Workspace for BlueNRG SoCs - News

July 14, 2021

STMicroelectronics’ WiSE Studio, is accelerating the design of smart, connected devices that leverage the latest Bluetooth technology.


STMicroelectronics Announces Automotive LED Driver - News

July 05, 2021

STMicroelectronics’ ALED6000 single-chip automotive LED driver with integrated DC/DC converter is a low-BoM (Bill of Materials) solution designed to provide design flexibility and keep the lighting intensity consistent as electrical conditions within the vehicle fluctuate. 


Configurable Automotive Low-Dropout Regulators from STMicroelectronics Provide Diagnostics for Functional Safety - News

June 30, 2021

With eight selectable fixed-output voltages, diagnostic features for functional safety, and high thermal performance, STMicroelectronics’ L99VR01 AEC-Q100 qualified low-dropout linear voltage regulators are designed to simplify system design and ease inventory management for automotive applications.

Analog & Power

STMicroelectronics Announces Wireless-Charging Secure Solution for Consumer and Automotive Qi-certified Chargers - News

June 23, 2021

STMicroelectronics' solution is designed to protect the wireless charging of small devices and mobiles by authenticating certified Qi chargers.

Software & OS

STM32Cube Software for IOTA Chrysalis updated by STMicroelectronics - News

June 02, 2021

In line with the transformative Chrysalis upgrades to the IOTA Foundation’s Distributed Ledger Technology (DLT) and infrastructure, STMicroelectronics has completed, validated, and made available a new version of the X-CUBE-IOTA1 expansion software package, including integrated IOTA C library, for the STM32Cube microcontroller software development ecosystem.


Qeexo Collaborates with STMicroelectronics to Automate Machine Learning on Machine Learning Core (MLC) Sensors - News

May 19, 2021

Qeexo announced that it is working with STMicroelectronics to create machine learning models for ST’s Machine Learning Core (MLC) sensors.