Delivers a full AI/machine learning sensing solution for the ultra-low-power RSL10
Sensor Development Kit from onsemi
RSL10-based platform enables sensor processing and wireless communication
Requires no data science expertise to implement AI for smart industrial applications
PORTLAND, Ore. – November 4, 2021 – SensiML™ Corporation, a leading developer of AI
tools for building intelligent Internet of Things (IoT) endpoints, today announced that it has
teamed with onsemi to deliver a complete machine learning solution for autonomous sensor data
processing and predictive modeling. The collaboration combines SensiML’s Analytics Toolkit
development software with the RSL10 Sensor Development Kit from onsemi to create a platform
ideal for edge sensing applications such as industrial process control and monitoring. SensiML’s
ability to support AI functions in a small memory footprint, along with the advanced sensing and
Bluetooth ® Low Energy connectivity provided by the RSL10 platform, enables sophisticated
smart sensing without the need for cloud analytics of highly dynamic raw sensor data.
Low-Power Autonomous Edge Node Applications
Featuring the industry’s lowest power Bluetooth Low Energy connectivity, the RSL10 Sensor
Development Kit combines the RSL10 radio with a full range of environmental and inertial
motion sensors onto a tiny form-factor board that interfaces readily with the SensiML Toolkit.
Developers using the RSL10-based platform and the SensiML software together can easily add
low latency local AI predictive algorithms to their industrial wearables, robotics, process control,
or predictive maintenance applications regardless of their expertise in data science and AI. The
resulting auto-generated code enables smart sensing embedded endpoints that transform raw
sensor data into critical insight events right where they occur and can take appropriate action in
real time. Furthermore, the smart endpoints also drastically reduce network traffic by
communicating data only when it offers valuable insight.
“Cloud-based analytics add unwanted, non-deterministic latency, and are too slow, too remote
and too unreliable for critical industrial processes,” said Dave Priscak, vice president of
Applications Engineering at onsemi. “The difference between analyzing a key event with local
machine learning versus remote cloud learning can equate to production staying online,
equipment not incurring expensive downtime, and personnel remaining safe and productive.”
“Other AutoML solutions for the edge rely only on neural network classification models with
only rudimentary AutoML provisions, yielding suboptimal code for a given application,” said
Chris Rogers, SensiML’s CEO. “Our comprehensive AutoML model search includes not only
neural networks, but also an array of classic machine learning algorithms, as well as segmenters,
feature selection, and digital signal conditioning transforms to provide the most compact model
to meet an application’s performance need.”
Availability
The SensiML Analytics Toolkit and the RSL10 Sensor Development Kit from onsemi are both
available immediately from their respective companies. For more information, visit the SensiML
information page at https://sensiml.com/partners/onsemi.
About onsemi
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and
industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety,
sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and
innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most
complex challenges and leads the way in creating a safer, cleaner, and smarter world.
onsemi and the onsemi logo are trademarks of Semiconductor Components Industries, LLC. All other brand and product names
appearing in this document are registered trademarks or trademarks of their respective holders. Although the Company
references its website in this news release, information on the website is not to be incorporated herein.
About SensiML
SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), offers cutting-edge software that enables ultra-low power
IoT endpoints that implement AI to transform raw sensor data into meaningful insight at the device itself. The
company’s flagship solution, the SensiML Analytics Toolkit, provides an end-to-end development platform
spanning data collection, labeling, algorithm and firmware auto generation, and testing. The SensiML Toolkit
supports Arm® Cortex®-M class and higher microcontroller cores, Intel® x86 instruction set processors, and
heterogeneous core QuickLogic SoCs and QuickAI platforms with FPGA optimizations. For more information, visit
www.sensiml.com.
SensiML and logo are trademarks of SensiML. All other trademarks are the property of their respective holders and should be
treated as such.
Press Contact:
SensiML
Andrea Vedanayagam
Veda Communications
408.656.4494
pr@sensiml.com
Sensor Development Kit from onsemi
RSL10-based platform enables sensor processing and wireless communication
Requires no data science expertise to implement AI for smart industrial applications
PORTLAND, Ore. – November 4, 2021 – SensiML™ Corporation, a leading developer of AI
tools for building intelligent Internet of Things (IoT) endpoints, today announced that it has
teamed with onsemi to deliver a complete machine learning solution for autonomous sensor data
processing and predictive modeling. The collaboration combines SensiML’s Analytics Toolkit
development software with the RSL10 Sensor Development Kit from onsemi to create a platform
ideal for edge sensing applications such as industrial process control and monitoring. SensiML’s
ability to support AI functions in a small memory footprint, along with the advanced sensing and
Bluetooth ® Low Energy connectivity provided by the RSL10 platform, enables sophisticated
smart sensing without the need for cloud analytics of highly dynamic raw sensor data.
Low-Power Autonomous Edge Node Applications
Featuring the industry’s lowest power Bluetooth Low Energy connectivity, the RSL10 Sensor
Development Kit combines the RSL10 radio with a full range of environmental and inertial
motion sensors onto a tiny form-factor board that interfaces readily with the SensiML Toolkit.
Developers using the RSL10-based platform and the SensiML software together can easily add
low latency local AI predictive algorithms to their industrial wearables, robotics, process control,
or predictive maintenance applications regardless of their expertise in data science and AI. The
resulting auto-generated code enables smart sensing embedded endpoints that transform raw
sensor data into critical insight events right where they occur and can take appropriate action in
real time. Furthermore, the smart endpoints also drastically reduce network traffic by
communicating data only when it offers valuable insight.
“Cloud-based analytics add unwanted, non-deterministic latency, and are too slow, too remote
and too unreliable for critical industrial processes,” said Dave Priscak, vice president of
Applications Engineering at onsemi. “The difference between analyzing a key event with local
machine learning versus remote cloud learning can equate to production staying online,
equipment not incurring expensive downtime, and personnel remaining safe and productive.”
“Other AutoML solutions for the edge rely only on neural network classification models with
only rudimentary AutoML provisions, yielding suboptimal code for a given application,” said
Chris Rogers, SensiML’s CEO. “Our comprehensive AutoML model search includes not only
neural networks, but also an array of classic machine learning algorithms, as well as segmenters,
feature selection, and digital signal conditioning transforms to provide the most compact model
to meet an application’s performance need.”
Availability
The SensiML Analytics Toolkit and the RSL10 Sensor Development Kit from onsemi are both
available immediately from their respective companies. For more information, visit the SensiML
information page at https://sensiml.com/partners/onsemi.
About onsemi
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and
industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety,
sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and
innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most
complex challenges and leads the way in creating a safer, cleaner, and smarter world.
onsemi and the onsemi logo are trademarks of Semiconductor Components Industries, LLC. All other brand and product names
appearing in this document are registered trademarks or trademarks of their respective holders. Although the Company
references its website in this news release, information on the website is not to be incorporated herein.
About SensiML
SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), offers cutting-edge software that enables ultra-low power
IoT endpoints that implement AI to transform raw sensor data into meaningful insight at the device itself. The
company’s flagship solution, the SensiML Analytics Toolkit, provides an end-to-end development platform
spanning data collection, labeling, algorithm and firmware auto generation, and testing. The SensiML Toolkit
supports Arm® Cortex®-M class and higher microcontroller cores, Intel® x86 instruction set processors, and
heterogeneous core QuickLogic SoCs and QuickAI platforms with FPGA optimizations. For more information, visit
www.sensiml.com.
SensiML and logo are trademarks of SensiML. All other trademarks are the property of their respective holders and should be
treated as such.
Press Contact:
SensiML
Andrea Vedanayagam
Veda Communications
408.656.4494
pr@sensiml.com