Qeexo and STMicroelectronics Speed Development of Next-Gen IoT Applications with Machine-Learning Capable Motion Sensors
July 07 2021 - 9:00AM
Qeexo and
STMicroelectronics Speed Development of Next-Gen IoT
Applications with Machine-Learning Capable Motion
Sensors
Mountain View, CA and Geneva,
Switzerland, July 7,
2021 – Qeexo, developer of the
Qeexo AutoML automated machine-learning (ML) platform that
accelerates the development of tinyML models for the Edge, and
STMicroelectronics (NYSE: STM), a global
semiconductor leader serving customers across the spectrum of
electronics applications, today announced the availability of ST’s
machine-learning core (MLC) sensors on Qeexo AutoML.
By themselves, ST’s MLC sensors substantially reduce overall
system power consumption by running sensing-related algorithms,
built from large sets of sensed data, that would otherwise run on
the host processor. Using this sensor data, Qeexo AutoML can
automatically generate highly optimized machine-learning solutions
for Edge devices, with ultra-low latency, ultra-low power
consumption, and an incredibly small memory footprint. These
algorithmic solutions overcome die-size-imposed limits to
computation power and memory size, with efficient machine-learning
models for the sensors that extend system battery life.
“Delivering on the promise we made recently when we announced
our collaboration with ST, Qeexo has added support for ST’s family
of machine-learning core sensors on Qeexo AutoML,” said Sang Won
Lee, CEO of Qeexo. “Our work with ST has now enabled application
developers to quickly build and deploy machine-learning algorithms
on ST’s MLC sensors without consuming MCU cycles and system
resources, for an unlimited range of applications, including
industrial and IoT use cases.”
“Adapting Qeexo AutoML for ST’s machine-learning core sensors
makes it easier for developers to quickly add embedded machine
learning to their very-low-power applications,” said Simone Ferri,
MEMS Sensors Division Director, STMicroelectronics. “Putting MLC in
our sensors, including the LSM6DSOX or ISM330DHCX, significantly
reduces system data transfer volumes, offloads network processing,
and potentially cuts system power consumption by orders of
magnitude while delivering enhanced event detection, wake-up logic,
and real-time Edge computing.”
About QeexoQeexo is the first
company to automate end-to-end machine learning for embedded edge
devices (Cortex M0-M4 class). Our one-click, fully-automated Qeexo
AutoML platform allows customers to leverage sensor data to rapidly
build machine learning solutions for highly constrained
environments with applications in industrial, IoT, wearables,
automotive, mobile, and more. Over 300 million devices worldwide
are equipped with AI built on Qeexo AutoML. Delivering high
performance, solutions built with Qeexo AutoML are optimized to
have ultra-low latency, ultra-low power consumption, and an
incredibly small memory footprint. For more information, go to
http://www.qeexo.com.
About STMicroelectronics
At 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 Press Information Contact:
Lisa LangsdorfGoodEye PR for QeexoTel: +1 347 645 0484Email:
lisa@goodeyepr.com
Michael MarkowitzDirector Technical Media Relations
STMicroelectronics Tel: +1 781 591 0354Email:
michael.markowitz@st.com
- T4378D -- Jul 7 2021 -- ST_Qeexo MLC sensor cooperation_FINAL
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