NanoEdge AI Studio Version 2 is now available to the mass market

NanoEdge AI Studio from Cartesiam, a STMicroelectronics company removes the barriers of traditional AI for embedded system developers

• If you have no AI expertise, the intuitive NanoEdge AI Studio IDE enables unsupervised self-learning, inference, and classification directly on any Arm-based STM32 microcontrollers.
• If machine learning in the cloud is a data privacy concern for you, NanoEdge AI Studio allows local, autonomous learning with your data locked behind a firewall.
• If you are developing miniature AI devices that are extremely resource-constrained, NanoEdge AI Studio is optimized to run on even the smallest STM32 microcontrollers.
• If you have been frustrated by the complexity and cost of traditional AI solutions, NanoEdge AI Studio makes the integration of Machine Learning into everyday objects much easier, quicker, and less expensive.

NanoEdge AI Studio is a development studio for machine learning and non-machine learning experts alike, which allows any designer to transform passive sensors into autonomous agents that are capable of self-monitoring their applications. It is a game-changer and deployed successfully by customers of all sizes in all continents and in all industries to develop predictive maintenance, event classification, and generally smart solutions. 

Takeaway facts

• Runs autonomously on the developer’s workstation under Windows or Linux.
• No data is transmitted outside the customer’s environment.
• Will automatically find and optimize the best algorithmic combination among more than 500 million possible libraries, after the developer has described the targeted environment, and problem to solve.
• Provides the selected algorithm as a compiled static C library that is easily embeddable in the microcontroller. 
• Generates libraries that fit your use case and the environment with a RAM footprint limit that can be set as low as 1KB making them the most optimized AI algorithms in the industry. 
• Enables the execution of unsupervised learning, inference, and prediction on the device edge, opening new classes of small, low-power, low-cost devices to AI for the first time.
• NanoEdge AI Studio is available today for download 

Learn more

• Watch our Arm DevSummit talk: A Powerful Solution to Develop EdgeAI Solutions Quickly and Efficiently
• Find condition monitoring and predictive maintenance application for the STEVAL-STWINKT1B SensorTile Kit
• Browse NanoEdge AI Studio use cases here and watch a demo here

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