Applied Brain Research Inc. (ABR) named Best of Sensors Awards finalist



Recognized as a finalist in the Innovative Product of the Year category for ABR’s ultra-efficient edge AI Time-Series Processor (TSP) chip.

Featured image for Applied Brain Research Inc.

Featured image for Applied Brain Research Inc.

Featured image for Applied Brain Research Inc.

WATERLOO, Ontario, June 27, 2022 (GLOBE NEWSWIRE) — Applied brain research today announces it has been named a finalist in the Innovative Product of the Year category of the Best of Sensors Awards for their ultra-efficient advantage AI Time-Series Processor (TSP) chip† The ABR TSP provides sensor, IoT device, automotive, appliance, consumer electronics and all device makers the ability to process large-scale time series data at the edge. The chip enables full speech recognition, robust natural language understanding, anomaly detection, pattern recognition, machine status monitoring and more.

“Applied Brain Research is honored to be a finalist in the Best of Sensors Awards for our TSP chip,” said Peter Suma, co-CEO of ABR. “Cloud dependency is a major barrier to accessing ubiquitous speech and sensor processing, our chip removes this barrier by bringing large-scale time series capabilities to the edge.”

The ABR TSP is a low-SWaP, edge, time-series AI processor chip used to implement ultra-low-SWaP embedded sensor data processing, AI speech processing, and language processing systems. The ABR TSP implements on-chip ABR’s proprietary, highly efficient time series and signal processing algorithm, the Legendre Memory Unit (LMU).

For a few dollars, device companies can now communicate their device configuration and manuals to users in a natural and intuitive way without a cloud connection. ABR TSP integrates training-free, natural language speech interfaces, including troubleshooters and user guides, and will revolutionize device interaction.

ABR provides sensors with the ability to process complex AI edge event detection, over longer signal time windows, for much less power, with longer battery life, while only sending events for further processing.

Charlene Soucy, Senior Director, Sensors & Electronics, said: “This year again, innovation in the sensor industry has not disappointed with new, innovative, breakthrough technologies and individuals doing spectacular work. The Best of Sensors Awards were created to recognize the recognize the industry’s best innovations. Congratulations to Applied Brain Research Inc. on being named a finalist.”

Prize winners will be announced on June 28 during Sensors Converge. Sensors Converge is being partnered with Embedded Technologies Conference & ExpoConference on Autonomous Technologiesand Metaverse Global Congress

About Applied Brain Research Inc.

Applied Brain Research, Inc. designs AI inspired by the efficiency of brain circuits and supported by neuroscientists and AI engineers. ABR builds AI chips and makes software for building low-power embedded AI systems used in devices such as smartphones, drones, robots, cars, cameras, clothing, wearables and sensors. ABR discovered from this work an AI time series processing algorithm called the Legendre Memory Unit (LMU). The LMU algorithm performs 10x better than LSTMs and Transformers in time series applications. ABR has used the LMU to create an ultra-efficient time series processor chip that will be available in Q4 2023.

Media contact

Peter Suma, co-CEO

Applied Brain Research Inc.

Waterloo, Ontario, Canada

[email protected]


Converging across sensors

Sensors Converge has several registration options, including the All-Access Pass, which provides access to the entire event, Conference passes for Sensors and co-located events, and the Expo Hall Pass, which provides access to the Expo Hall. Pre-register rates are available. For more information visit:† The prize program is presented by Converging Sensors and bright electronics and honors the best in sensor technologies and the sensor ecosystem, people and businesses.

For exhibition or sponsor opportunities, click on here

Stay connected with Sensors Converge on facebookLinkedInand Twitter

Related images

Figure 1

This content is published through the press release distribution service at


Leave a Comment

Your email address will not be published. Required fields are marked *