The speed with which edge AI ecosystems like TinyML are evolving has made standardization difficult, much less the creation of performance and resource utilization benchmarks that could simplify technology evaluation. Edge AI benchmarks would be hugely beneficial to the ML industry as they could help accelerate solution comparison, selection, and the productization process.

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.

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

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

STMicroelectronics released the B-L462E-CELL1 Discovery kit, which combines hardware and software building blocks such as GSMA-certified embedded SIM (eSIM).

Macronix announced that STMicroelectronics is using its OctaBus flash memory for a wide range of STM32 microcontroller (MCU) platforms.