STMicroelectronics, a global semiconductor leader serving customers across the spectrum of electronics applications, announced the availability of ST Edge AI Suite, bringing together tools, software and knowledge to simplify and accelerate building edge-AI applications.
The ST Edge AI Suite is an integrated collection of software tools, designed to facilitate the development and deployment of embedded AI applications. This comprehensive suite supports both optimization and deployment of machine-learning algorithms, starting from data collection to final deployment on hardware, streamlining the workflow for different types of users.
The tools from the suite are covering a broad range of ST products, from smart sensors to microcontrollers and microprocessors including upcoming STM32N6 neural-processing microcontrollers.
Also Read: Outerbounds and Codemate Announce Collaboration to Accelerate Custom AI/ML Solutions for Enterprises
“ST Edge AI Suite is the new starting point on st.com for embedded AI development. Here, today’s innovators, driven by imagination, can find help to realize tomorrow’s smart things that sense, infer, and respond intelligently, autonomously, and efficiently to the world around,” said Alessandro Cremonesi, Executive Vice President, Chief Innovation Officer and General Manager of STMicroelectronics’ System Research and Applications Group. “This environment brings developers simplicity through an easy choice of models and data sources, finding the right tools quickly and easily, optimizing and benchmarking, then automatically generating code and libraries – all within one unified framework.”
While working across multiple hardware platforms, ST Edge AI Suite meets the needs of different types of users such as data scientists, embedded software developers, and hardware system engineers.
There is seamless access to online tools such as the ST Edge AI Model Zoo and Developer Cloud, as well as desktop tools for data tuning and model optimization on the chosen hardware platform. These include NanoEdge AI Studio for generating machine learning libraries automatically, and STM32Cube.AI, MEMS Studio, and Stellar Studio, for model optimization on STM32 devices, MEMS inertial sensors, and Stellar processors. All are ready to use free of charge.
Source: GlobeNewsWire