STMicroelectronics accelerates Edge AI adoption to help companies transform their products
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STMicroelectronics accelerates Edge AI adoption to help companies transform their products

STMicroelectronics accelerates Edge AI adoption
to help companies transform their products

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 information
ST’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).

About STMicroelectronics
At 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 Communications
Tel: +41.22.929.58.12                     Tel: +33.6.59.16.79.08
celine.berthier@st.com                    alexis.breton@st.com

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