ST Edge AI Suite goes live, accelerating AI-enabled product development with STMicroelectronics’ technologies
20 Junio 2024 - 8:00AM
ST Edge AI Suite goes live, accelerating
AI-enabled product development with STMicroelectronics’
technologies
New starting point for all edge-AI projects
gathers tools, software and resources in one place for faster,
smoother developer experience
Geneva, Switzerland, June 20, 2024 – STMicroelectronics
(NYSE: STM), a global semiconductor leader serving
customers across the spectrum of electronics applications, today
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.
“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.The release of this suite is also an opportunity to
introduce world-first innovations for AI applications in the MEMS
Studio tool: the "ISPU NN model optimizer" and "automatic selection
of MLC features and filters."Lead customers’
experiences:
Honeywell, Soxai, and
HPE Group explain how tools such as MEMS Studio
and Stellar Studio in the ST Edge AI Suite help simplify and
accelerate edge-AI development.
Israel Herrera, Firmware Architect & Embedded
Systems Engineer, Honeywell Fire, commented, “We recognize
the innovative strides ST has made in the realm of edge computing
with their sensors. MEMS Studio, as featured in the ST Edge AI
Suite, has proved to be a great software development tool to help
us perform quick tests using multiple MEMS sensor modules from ST.
It enables us to create proof of concepts easily through its code
generation feature. MEMS Studio is also very useful in testing
different and independent Machine Learning and Data Analysis
algorithms.”
Tatsuhiko Watanabe, CEO & Founder of SOXAI,
which is using ST’s edge-AI sensors, said, "While we were
developing SOXAI RING 1, ST introduced the world's first sensor
with edge AI, and we quickly adopted it to boost our product's
performance. The machine-learning core software tool featured in
the ST Edge AI Suite helped us quickly integrate this new
technology and allowed our developers to harness the full potential
of the sensor with minimal effort. Compared to the first
generation, our new SOXAI RING 1 now boasts an extended battery
life of at least 10 hours, a game-changer in the world of wearable
technology."
Andrea Bozzoli, CEO of HPE Group, added, "HPE
is at the forefront of transforming the automotive sector through
our collaboration with STMicroelectronics and their Stellar MCU and
Stellar Studio software, which is part of the ST Edge AI Suite. Our
Prometeo Joint Innovation Lab efforts are set to deliver a
proof-of-concept for next-generation vehicle powertrains,
leveraging AI to enhance predictive maintenance and control
systems. This synergy will not only elevate electric vehicle
performance but also enrich the digital cockpit experience, setting
a new standard for smart, sustainable mobility."
ST Edge AI Suite is now live at
https://www.st.com/content/st_com/en/st-edge-ai-suite.html
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 over
50,000 creators and makers of semiconductor technologies mastering
the semiconductor supply chain with state-of-the-art manufacturing
facilities. An integrated device manufacturer, we work with more
than 200,000 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 cloud-connected autonomous things. We are committed
to achieving our goal to become carbon neutral on scope 1 and 2 and
partially scope 3 by 2027. Further information can be found at
www.st.com.
For Press Information Contact:
Alexis
Breton Corporate
External CommunicationsTel:
+33.6.59.16.79.08alexis.breton@st.com
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