Demystify artificial intelligence on Arm MCUs.
On the July 14th, Francois de Rochebou?t (CTO) and Joel Rubino (CEO) have been very pleased to participate in an arm webinar on demystifying artificial intelligence and all the complexity that comes with it, to the Arm embedded developers community.
Even without any prior AI skills, developers can use Cartesiam’s NanoEdge AI Studio to quickly and easily integrate ML algorithms with a broad range of applications on Arm-based low-power microcontrollers. AI Studio also enables on-device learning of a nominal behavior and is capable of detecting any variation of this behavior, even in a complex and “noisy” environment. In the video below, we demonstrated how to generate a custom learning library and use it to perform anomaly detection on an STMicroelectronics development board.
The agenda of the video is as follow:
- Cartesiam solution overview
- Creation of a machine learning library using NanoEdge AI Studio
- Integration into the main program running on an ST development board with Arm MCU
- Live fan vibration analysis and anomaly detection
Increasingly, Cartesiam and its revolutionary solution, NanoEdge AI Studio, enable industrial customers of all sizes and on all continents to massively integrate anomaly detection into their predictive maintenance solutions.
Too good to be true ?
Try it by yourself: https://cartesiam.ai
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