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ITTIA, a provider of time series high-performance embedded database software for autonomous systems and Internet of Things (IoT) devices, announced plans to support STMicroelectronics platforms.
According to the company, the VN9D30Q100F and VN9D5D20FN from STMicroelectronics introduce a new generation of automotive intelligent switches, the first in the market with digital current sensing among the fully digital on-chip diagnostic features.
Single-chip GaN Gate Driver from STMicroelectronics Boosts Speed, Flexibility, and Integration in Industrial and Home Automation - NewsAugust 31, 2021
STMicroelectronics’ STDRIVEG600 half-bridge gate driver has high current output and 45ns propagation delay, closely matched between high-side and low-side outputs, to handle high-frequency switching of GaN enhancement-mode FETs.
STMicroelectronics’ STM32U5 General-Purpose Microcontrollers Achieve PSA Certified Level-3 and SESIP3 Security Certifications - NewsAugust 04, 2021
STMicroelectronics announced PSA Certified Level-3 and SESIP 3 certifications for its general-purpose secure STM32U585 microcontroller, passing tests for logical, board, and basic physical resistance that confirm a substantial level of cyber protection.
STMicroelectronics Eases Connected-Sensor Design with User-Friendly Workspace for BlueNRG SoCs - NewsJuly 14, 2021
STMicroelectronics’ WiSE Studio, is accelerating the design of smart, connected devices that leverage the latest Bluetooth technology.
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.
MLPerf Tiny Inference Benchmark Lays Foundation for TinyML Technology Evaluation, Commercialization - StoryJuly 02, 2021
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.