NanoEdge AI Studio, which integrates machine learning algorithms into low-power MCUs, is optimized for the STM32 development board.
Published2020.06.04 12:35Support for direct integration of machine learning algorithms
Direct real-time data logging possible
Cartesiam, which develops AI software for embedded systems, announced on the 3rd that it has released a new release of NanoEdge™ AI Studio optimized for STMicroelectronics' STM32 MCU development board.
NanoEdge AI Studio New Release Released [Capture = Cartesiam]
Designed for companies without machine learning expertise, NanoEdge AI Studio enables system designers using Arm-based, low-power MCUs to directly integrate machine learning algorithms into a variety of applications, including connected devices, home appliances, and industrial equipment.
It enables on-device learning of reference motions and detects all motion variations even in complex, noisy environments. NanoEdge AI Studio enables embedded developers to quickly develop powerful AI-based solutions using STM32 MCUs.
The new release enhances the STM32 serial/USB port and Cartesiam's automated data compliance and quality verification tools, enabling real-time data logging directly from NanoEdge AI Studio.
Developers can directly select ST's Nucleo-F401RE or Nucleo-L432KC development boards as their hardware platform through the new NanoEdge AI Studio.
Selecting a board completes the final step of the studio process, allowing you to download custom machine learning libraries that can run on your chosen hardware platform.
관련뉴스
Launch of Embedded IoT Solution with Cloud Connectivity for MCUs and MPUs
Microchip Technology has unveiled an IoT solution that encompasses design considerations for core, connectivity, security, development environment, and debug capabilities. Through a cloud-agnostic, turnkey, and full-stack embedded development solution, developers can reduce project costs while simplifying development complexity.
2020.03.12by 최인영 기자
ST Releases STM32Cube Software for Free on GitHub
ST가 깃허브에 STM32Cube 임베디드 소프트웨어를 게시한다. STM32 임베디드 소프트웨어 제품이 깃허브에서 공개됨으로써 커뮤니티들의 편리한 개발과 협업이 가능해졌으며, 사용자는 더 빠르고 효율적으로 업데이트 배포판을 활용할 수 있게 됐다.
2020.05.08by 이수민 기자
Microchip Unveils Embedded FPGA Vision Solutions SDK
Microchip is adding the VectorBlox Accelerator SDK to its 'Smart Embedded Vision Initiative,' which provides intelligent machine vision system design solutions based on the PolarFire FPGA. The VectorBlox Accelerator SDK is designed to enable software developers without FPGA design experience to program low-power, flexible overlay-based neural network applications in C/C++ utilizing the PolarFire FPGA.
2020.05.19by 이수민 기자
ST Microelectronics and NUS Establish Joint Research Center 'HELIX' for Edge AI
ST Microelectronics and the National University of Singapore have established the 'HELIX' joint research center aimed at implementing embedded AI in edge environments. Over a four-year period, the center will conduct research across the entire technology stack from algorithms to silicon, focusing on memory-centric architecture leveraging ST's 18nm FD-SOI technology and embedded PCM. The core objective is to implement intelligence directly in physical devices such as robots and drones while minimizing energy consumption.
2026.08.28by 배종인 기자
Ecolab and K-water Discuss Innovation Collaboration in Advanced Industry Water Management
Ecolab and the Korea Water Resources Corporation jointly discussed cooperation directions for maximizing water use efficiency in advanced industries such as semiconductors and data centers and establishing sustainable water circulation. The two companies agreed to gradually develop a long-term cooperation model that combines water resource infrastructure and water management technology to promote water efficiency optimization, water reuse, and carbon reduction.
2026.08.28by 명세환 기자
