STMicroelectronics Extends STM32Cube.AI Development Tool with Support for Deeply Quantized Neural Networks
July 22, 2022
News
STMicroelectronics has released STM32Cube.AI version 7.2.0, the first artificial-intelligence (AI) development tool by an MCU vendor to support ultra-efficient deeply quantized neural networks.
STM32Cube.AI converts pretrained neural networks into optimized C code for STM32 microcontrollers (MCUs). It is an essential tool for developing AI solutions that make the most of the constrained memory sizes and computing power of embedded products. Moving AI to the edge, away from the cloud, delivers substantial advantages to the application. These include privacy by design, deterministic, and real-time response, greater reliability, and lower power consumption. It also helps optimize cloud usage.
Now, with support for deep quantization input formats like qKeras or Larq, developers can even further reduce network size, memory footprint, and latency. These benefits unleash more possibilities from AI at the edge, including frugal and cost-sensitive applications. Developers can thus create edge devices, such as self-powered IoT endpoints that deliver advanced functionality and performance with longer battery runtime. ST’s STM32 familyprovides many suitable hardware platforms. The portfolio extends from ultra-low-power Arm Cortex®-M0 MCUs to high-performing devices leveraging Cortex-M7, -M33, and Cortex-A7 cores.
STM32Cube.AI version 7.2.0 also adds support for TensorFlow 2.9 models, kernel performance improvements, new scikit-learn machine learning algorithms, and new Open Neural Network eXchange (ONNX) operators.
For more information, visit www.st.com
You can also read theblogpost at https://blog.st.com/stm32cubeai-v72/.
Tiera Oliver is the assistant managing editor at Embedded Computing Design. She is responsible for web content editing, product news, and story development. She also manages, edits, and develops content for ECD podcasts, including Embedded Insiders.
She utilizes her expertise in journalism and content management to oversee editorial content, coordinate with editors, and ensure high-quality output across web, print, and multimedia platforms. She manages diverse projects, assists in the production of digital magazines, and hosts company podcasts by conducting in-depth interviews with industry leaders to deliver engaging and insightful discussions.
Tiera attended Northern Arizona University, where she received her bachelor's in journalism and political science. She was also a news reporter for the student-led newspaper, The Lumberjack.
