PRESS
Cartesiam announce NanoEdge, AI Studio general availability
NANOEDGE AI STUDIO
GENERAL AVAILABILITY
Nuremberg, Germany February 25, 2020
Cartesiam, a company that creates artificial intelligence (AI) software for embedded systems, today announced at the Embedded World conference the availability of NanoEdgeTM AI Studio, the first integrated development environment (IDE) that enables machine learning and inference directly on Arm Cortex-M microcontrollers (MCUs).
NanoEdge AI Studio is an intuitive software tool that allows system designers using Arm’s low-power, low-cost microcontrollers which are embedded in billions of devices worldwide to quickly, easily and inexpensively integrate machine learning directly into their everyday objects (industrial machines, IoT, automotive, household appliances, and more).
Until now, implementing AI in embedded devices has been a long, difficult and expensive process requiring the expertise of data scientists spending months or years of development time, and access to complex and extensive data sets that are difficult to source.
Cartesiam’s NanoEdge AI Studio offers a completely different approach.
With a cost- and time-efficient and self-learning AI, said Joel Rubino, CEO and co-founder, Cartesiam. “It allows any embedded designer to develop application-specific machine learning libraries quickly and run the program inside the microcontroller right where the signal becomes data. It’s the only solution that can run both machine learning and inference in the microcontroller.” Rubino said that NanoEdge AI Studio has been tested and deployed successfully at a number of European and US companies.
How NanoEdge AI Studio works?
In applications, NanoEdge AI Studio transforms passive sensors into autonomous agents capable of self-monitoring.
“Imagine an air conditioner that detects when its filter needs to be changed or an escalator activating its own preventive maintenance,” explained Rubino. “As far as security and privacy are concerned, learning an initial state locally reduces data exchanges over the network and prevents risk of falsification or intrusion. With our customers’ creativity and innovation, there will be no limits to the development of inventive solutions based on NanoEdge AI Studio.”
Machine Learning Development Studio Designed for Non-experts
NanoEdge AI Studio removes traditional AI barriers. It is designed for companies that either do not have expert resources in machine learning or that wish to provide their data scientists with a complementary tool for embedded environments.
NanoEdge AI Studio Quick Technical Facts:
Runs autonomously on the developer’s workstation under Windows or Linux. Thus, no data is transmitted outside the customer’s environment.
Will automatically test, optimize and calculate the best algorithmic combination among more than 500 million possible combinations, after the developer has described the targeted environment.
Provides the selected algorithm as a C library that is easily embeddable in the microcontroller.
Generates libraries that require only 4K to 16K of RAM, 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.
