STMicroelectronics accelerates Edge AI adoption to help companies transform their products
06 Dicembre 2023 - 11:00AM
STMicroelectronics accelerates Edge AI
adoptionto help companies transform their
products
- Announcing the ST Edge AI Suite, a comprehensive, integrated
set of software and tools offering a simpler, more cost-effective
way for developers and companies to embed AI-enabled ST products
into industrial, automotive/mobility, consumer, communication
applications
- ST offering developers and companies a comprehensive ecosystem
with a broad range of hardware with free software and tools,
supported by partnerships with cloud services and AI toolchain
providers
- Companies of any size to benefit from unconstrained edge AI
deployment, accelerating its adoption globally
Geneva, Switzerland, December 6, 2023 --
STMicroelectronics (NYSE: STM), a global semiconductor leader
serving customers across the spectrum of electronics applications,
is introducing its comprehensive ecosystem offer for companies to
transform their products with edge AI. The announcement of the ST
Edge AI Suite, an integrated set of software tools
free-to-use with ST hardware, takes the offer to customers one step
further, enabling them to jumpstart the design and deployment of
billions of connected, autonomous things embedding artificial
intelligence locally. The ST Edge AI Suite will
simplify the development of customers’ AI solutions exploiting ST’s
broad range of hardware (general-purpose and automotive
microcontrollers and microprocessors, smart sensors) and related
tools for embedded AI optimizations. It will expand and integrate
the multiple software tools, evaluation, and development kits
introduced over the past 10 years, while leveraging the existing AI
ecosystem of machine learning (ML) frameworks and key partners
(such as Nvidia and AWS).
“We are moving towards a world with tens of billions of
connected, autonomous things bringing value and convenience to
their users throughout all aspects of consumer life and enterprise
productivity. To achieve this, AI algorithms will need to be run
both in the cloud and on-device, at the edge across a broad range
of devices: smartphones and connected personal devices, smart home
and building control systems, industrial machines, cars and many
more,” said Jean-Marc Chery, President and CEO of
STMicroelectronics. “ST products are already at the core
of all those devices, but it is their combination with the
industry-leading, free software suite we are announcing today that
will make the difference. This combination will enable the
transition to a more intelligent edge, empowering customers of any
size to deploy edge AI more easily and build their vision of this
connected future leveraging ST’s hardware portfolio.”
A preview of the ST Edge AI suite capabilities was presented
today at ST’s online Edge AI Summit. ST’s industry-leading offer
will empower embedded developers who want to create optimized
machine learning models, data scientists who want to run their
model on an embedded device, and product designers and creators who
want to redefine product greatness.
With free access, ST will enable customers large and small,
pooling resources and knowledge into a community-driven approach.
The Suite will further enable this transformation by federating the
tools and their users around a broader edge AI community.
The first release of the ST Edge AI suite will be available in
the first half of 2024.
More information about the benefits of the adoption of edge
AI Edge AI is a crucial technology for businesses to
transform their products in today’s connected world by bringing
intelligence and decision-making capabilities closer to the data
source. This offers numerous benefits in terms of speed, power
consumption, privacy, security, and cost-efficiency empowering
businesses to create more intelligent, responsive and efficient
products that meet the demands of today’s fast-paced and
data-driven world. Examples of businesses transforming their
products with ST: 15-40% performance improvement for
washing machines: A major home appliance
maker is currently adopting this solution and we should
see their product on the market next year. The first machine
learning algorithm is creating a virtual sensor approach,
estimating the weight of the clothes to be washed based on the
motor current measurement. Another machine learning algorithm is
collecting data from a 6-axis motion sensor to enable drum
collision avoidance by calculating if the drum will touch the outer
shell of the washing machine. Based on the algorithm input, a
program drives the motor using exactly the current needed and
adjusts the water and detergent used to save between 15 and 40%
energy and water for a washing cycle. Both algorithms have been
developed with NanoEdge AI and are running on an STM32G0 MCU
together with an ST 6-axis motion sensor. Ultra low
power PC activity monitoring: The
HP engineering team worked closely with ST to
develop and train AI models that recognize different user
activities based on device and user motion. Multiple use cases were
addressed, including scenarios where the laptop is placed on a
table, on the user’s lap, or carried inside a bag and taken out.
This helped create an AI model specific to HP devices that was put
on a smart 6-axis motion sensor. But the really interesting part
here is the power consumption. This sensor is running an edge AI
algorithm at 34 microamps. This allows HP computers to detect
changes and respond accordingly. And most importantly, conserve the
battery power for more critical tasks. EV motor
operation and maintenance optimization: ST is
working with the HPE Group to optimize the
operation and maintenance of motors in electric vehicles. The
challenge here was to monitor the internal temperature of the rotor
of an electric motor in actual use, so that power output could be
optimized for more efficient and safer operation. This is something
that could be done in a lab with the rotor exposed but is not
possible in an actual running motor in a vehicle. The solution was
to train a model and build a virtual temperature sensor with edge
AI to estimate the internal rotor temperature from the external
temperature measurement. The algorithm runs on the microcontroller
that controls the motor – a Stellar automotive MCU. The same MCU
also runs an AI algorithm that detects potential anomalies through
the analysis of vibrations. The same approach can be used with
other critical components, like EV batteries, where the internal
temperature of the battery is not practical to measure but an edge
AI model can simulate it from an external measurement. |
Additional technical
informationST’s strategy on AI relies on the availability
of a comprehensive, integrated set of tools (some of them already
available today), technical and educational examples, and an
innovative, unified optimizer of embedded AI solutions called ST
Edge AI Core Technology. The ST Edge AI Suite addresses the needs
and requirements of different profiles, like Data scientists,
embedded SW developers and HW System Engineers. The suite is easy
to use, with a simple and intuitive interface, available in
different fashions (Desktop, CLI, Web, API).
- ST Edge AI Suite works across multiple ST hardware
platforms: will be working across: STM32 general-purpose
MCUs, including the already announced portfolio with AI hardware
acceleration, STM32N6 and STM32 MPUs built for industrial
applications; Stellar automotive microcontrollers, supporting
carmakers in their transition to software-defined vehicles with
predictive maintenance of the electric powertrain to extend vehicle
lifetime or battery management systems to maximize energy
efficiency embedded intelligent sensors (based on intelligent
sensor processing units, or ISPU, machine learning cores, or MLC,
as well as leveraging Time-of-Flight sensors for advanced imaging),
ideal for applications in industrial, automotive and anything from
wearable accessories to high-end personal electronics applications.
All are supported by a broad range of evaluation and development
boards.
- A critical component of the ST Edge AI suite is ST Edge
AI Core that brings together all the SW and tools engineers need at
each step of their project: The ST Edge AI Core can import
ML and NN algorithms from the most widely used ML frameworks,
provide a detailed analysis, optimize the algorithm for the
selected devices (sensors, MCU, MPU), validate against the original
model, and finally map the resulting embedded AI solution on the
selected device. It will be possible to benchmark the same AI
algorithm on different platforms, in pure SW or exploiting specific
HW accelerators, to assess accuracy and inference time in a few
clicks.
- NanoEdge AI Studio autoML tool becomes free for STM32,
and is now available for all ARM Cortex-M based MCUs: In
parallel, ST’s autoML tool NanoEdge AI Studio is getting an upgrade
to the benefit of customers globally: its use will become free. The
deployment of libraries created by NanoEdge AI Studio will now be
at no cost for unlimited deployment on any STM32 microcontroller.
In addition, as NanoEdge AI Studio targets all ARM Cortex-M based
microcontrollers, clients will now be able to build and deploy
libraries, including unique on-device learning, on other ARM
Cortex-M microcontrollers under a special license agreement.
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 further information, please contact:
INVESTOR RELATIONS:
MEDIA RELATIONS:Céline
Berthier Alexis
Breton Group VP,
Investor Relations
Corporate External CommunicationsTel: +41.22.929.58.12
Tel: +33.6.59.16.79.08celine.berthier@st.com
alexis.breton@st.com
- C3218C -- EDGE AI STRATEGY_FINAL FOR PUBLICATION
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