New machine-learning capabilities make it possible to run computer vision, audio processing, sound analysis and more consumer and industrial applications at the edge STM32N6 MCU series is the most powerful in STM32 family, and first to feature proprietary Neural-ART Accelerator™ NPU, architected for embedded inference Combination of software and tools ecosystem continues to lower the […]
Deploy models on MEMS machine-learning core for sensor node-to-cloud solutions Geneva, Switzerland, November 5, 2024 — ST AIoT Craft, a new web-based tool from STMicroelectronics, simplifies developing and provisioning node-to-cloud AIoT (Artificial Intelligence of Things) projects that use the machine-learning core (MLC) of ST’s smart MEMS sensors. The MLC is unique to the ST MEMS
Web-based Tool from STMicroelectronics Accelerates AIoT Projects with Smart Sensors Read More +
Strategic collaboration will pair STMicroelectronics’ market-leading STM32 microcontroller ecosystem and Qualcomm’s world-leading wireless connectivity solutions. Seamless integration into existing STM32 developer ecosystem to allow simple, fast, and cost-effective design of next-gen industrial and consumer IoT applications augmented by edge AI. Oct 1, 2024 – Geneva and San Diego – STMicroelectronics (NYSE: STM), a global semiconductor leader
STMicroelectronics and Qualcomm Enter Strategic Collaboration in Wireless IoT Read More +
This blog post was originally published at STMicroelectronics’ website. It is reprinted here with the permission of STMicroelectronics. Imagine a movie experience where the screen melts away, transporting you directly into the heart of the action. This immersive feat is now a reality at Sphere, a next-generation entertainment medium in Las Vegas that measures 366
This blog post was originally published at STMicroelectronics’ website. It is reprinted here with the permission of STMicroelectronics. To make machine learning at the edge more accessible, ST launched the ST Edge AI Suite, a repository of free software tools, use cases, and documentation to help developers create AI for the Intelligent Edge, regardless of
Edge AI Suite and the ML Journey: The First Step on the Intelligent Edge Adventure Read More +
Phillippe Legeard, Imaging Applications and Customer Support Engineer at STMicroelectronics, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Legeard demonstrates his company’s first 0.5 Mpixel indirect 3D time-of-flight (ToF) sensor, the VD55H1. The low noise, low power VD55H1 die is manufactured on advanced backside-illuminated, stacked
Enables quicker and smarter designs of compact power-efficient products for factory automation, robotics, AR/VR, and medical applications Geneva, Switzerland, July 3, 2024 – STMicroelectronics has introduced a set of plug-and-play hardware kits, evaluation camera modules and software that ease development with its ST BrightSense global-shutter image sensors. The ecosystem lets developers of mass-market industrial and
This blog post was originally published at STMicroelectronics’ website. It is reprinted here with the permission of STMicroelectronics. MEMS Studio now supports ST’s intelligent sensor processing units (ISPUs) like the ISM330ISN and ISM330IS. The tool is ST’s most extensive visualization, evaluation, profiling, processing, and optimization software for machine learning applications running on our sensors. It
Targets vibration sensing and motion tracking in industrial and robotics applications Geneva, Switzerland, June 5, 2024 – The STMicroelectronics ISM330BX 6-axis inertial measurement unit (IMU) combines edge-AI processing, an analog hub for sensor expansion, and ST’s Qvar electric charge variations sensing with product-longevity assurance for energy-efficient industrial sensing and motion tracking applications. The IMU contains
Enables longer battery runtime in wearables, trackers, and activity monitoring Geneva, Switzerland, April 18, 2024 – The LSM6DSV32X 6-axis inertial module (IMU) from STMicroelectronics has a large accelerometer full-scale range of 32g and 4000 degrees-per-second (dps) gyroscope to measure intensive movements and impacts, including freefall height estimation. Ready to drive future generations of edge-AI applications,
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