STMicroelectronics Streamlines Machine-Learning Software Development for Connected Devices and Industrial Equipment with Upgrades to NanoEdge™ AI Studio
December 01 2021 - 9:00AM
STMicroelectronics
Streamlines Machine-Learning
Software Development for Connected Devices
and Industrial Equipmentwith Upgrades to
NanoEdge™ AI Studio
- New algorithms to better predict equipment anomalies and future
behavior
- New capabilities to ease use of industrial sensor data
acquisition and management using an ST development board
- Enhanced user interface to make machine-learning implementation
easier for embedded developers with no data-science skills
Geneva, Switzerland,
Dec 1, 2021 - STMicroelectronics (NYSE: STM), a
global semiconductor leader serving customers across the spectrum
of electronics applications, today announced the availability of
Version 3 of NanoEdge™ AI Studio, the first major upgrade of the
software tool for machine-learning applications that ST acquired
with Cartesiam earlier this year.
The new version of NanoEdge AI Studio comes as the shift of AI
capabilities from the cloud to the edge offers manufacturers
phenomenal potential to fundamentally improve industrial
processes, optimize maintenance costs, and deliver
innovative functions in equipment that can sense, process data, and
act locally to improve latency and information security.
Applications include connected devices, household appliances, and
industrial automation.
NanoEdge AI Studio simplifies the creation of machine learning,
anomaly learning, detection and classification on any STM32
microcontroller. This new release also includes prediction
capabilities such as regression and outliers libraries. The tool
makes it easier for users to integrate such cutting-edge
machine-learning capabilities quickly, easily, and cost-effectively
into their equipment. No data-science expertise is needed.
Adding native support for all STM32 development boards, ST has
also eliminated the need to write code for its industrial-grade
sensors with new high-speed data acquisition and management
capabilities. NanoEdge AI Studio software enhances security by
using local data storage and processing, instead of transferring
to, and processing data in, the cloud.
What our customers say:
Steve Peguet, Scientific Director, Innovation Department of
Alten Group, an international technology consulting and engineering
company, said: “We had the opportunity to use NanoEdge AI Studio
with one of our major aerospace customers. For machine drilling
during the manufacture of expensive parts, where a worn
drill-bit or the slightest anomaly can have significant
consequences, Alten used NanoEdge AI Studio to integrate
Machine-Learning algorithms into the drilling equipment. The
solution tested on a production line was so effective that Alten
has launched a practice around this technology to support its
customers and to industrialize these first results to deploy a
disruptive solution of drilling
tools prescriptive maintenance in their factories.”
David Dorval, CEO and founder of Stimio, a company specialized
in development of industrial IoT solutions for the railway and
other industries (IIoT), said: “Our major railway customers are
asking us to provide them with autonomous low-power wireless based
predictive maintenance solutions to increase uptime, optimize costs
and avoid costly downtime. The contribution of edge low-power AI is
at the heart of our strategy and after benchmarking several Edge AI
software solutions, we chose NanoEdge AI Studio from
STMicroelectronics to enrich our Oxygen Edge offering with powerful
low-power AI algorithms."
Deepak Arora, President & CEO of Wearable Technologies Inc,
said, “To protect our loved ones so that they can have a healthy
and fulfilling life, NanoEdge AI is empowering us to reduce the
Machine-Learning development time for our next-generation
personal-safety devices. AI running at the edge on our devices will
allow us to make informed decisions promptly with higher accuracy
and reduced false-positives.”
Key Features of
NanoEdge™ AI Studio
V3
- Completely redesigned user interface to make it even easier for
non-experts to develop state-of-the-art machine-learning
libraries.
- New high-speed data acquisition and management on the STWIN
development board making all industrial-grade sensors easily
manageable without having to write a single line of
code.
- Improved support for anomaly detection, particularly
useful for predictive
maintenance to anticipate wear-and-tear phenomena or
to better deal with equipment obsolescence.
- Learn normality directly on STM32 MCUs
using small dataset or use new algorithms to train
on without ever seeing abnormal
patterns before.
- Added regression algorithms
to extrapolate data and predict future data
patterns for energy management
or forecasting remaining life of equipment.
- Native support of all STM32 development boards, no
configuration required.
Additional information is available on the ST website. Customers
can reach out to edge.ai@st.com.
You can also read our blogpost at
https://blog.st.com/nanoedge-ai-studio/
STM32 is a registered and/or unregistered trademark of
STMicroelectronics International NV or its affiliates in the EU
and/or elsewhere. In particular, STM32 is registered in the US
Patent and Trademark Office.
About STMicroelectronicsAt ST, we are 46,000
creators and makers of semiconductor technologies mastering the
semiconductor supply chain with state-of-the-art manufacturing
facilities. An independent device manufacturer, we work with more
than 100,000 customers and thousands of partners to design and
build products, solutions, and ecosystems that address their
challenges and opportunities, and the need to support a more
sustainable world. Our technologies enable smarter mobility, more
efficient power and energy management, and the wide-scale
deployment of the Internet of Things and 5G technology. Further
information can be found at www.st.com.
For further information, please contact:
Michael Markowitz Director Technical Media Relations Tel: +1 781
591 0354 Email: michael.markowitz@st.com
- P4415S -- Dec 1 2021 -- NanoEdge AI Studio_IMAGE
- P4415S -- Dec 1 2021 -- NanoEdge AI Studio_FINAL FOR
PUBLICATION_UPDATED
STMicroelectronics NV (NYSE:STM)
Historical Stock Chart
From Mar 2024 to Apr 2024
STMicroelectronics NV (NYSE:STM)
Historical Stock Chart
From Apr 2023 to Apr 2024