Qeexo and Bosch Enable Developers to Build and Deploy Machine-Learning Algorithms to Bosch AI-Enabled Sensors

By Tiera Oliver

Assistant Managing Editor

Embedded Computing Design

May 25, 2022

News

Qeexo and Bosch Enable Developers to Build and Deploy Machine-Learning Algorithms to Bosch AI-Enabled Sensors
Image Courtesy of Bosch Sensortec

Qeexo, developer of the Qeexo AutoML, and Bosch Sensortec GmbH announced that machine learning algorithms created using Qeexo’s AutoML can now be deployed on Arduino Nicla Sense ME with Bosch BHI260AP and BME688 sensors.

Qeexo AutoML is an automated machine-learning (ML) platform that accelerates the development of tinyML models for the Edge.  

Bosch's BHI260AP self-learning AI sensor with integrated IMU, and BME688, a 4-in-1 gas sensor with AI, are designed to reduce overall system power consumption while supporting a wide range of applications for different segments of the IoT market. 

Using Qeexo AutoML, machine learning (ML) models–that would otherwise run on the host processor–can be deployed in and executed by BHI260AP and BME688. Its highly efficient machine learning models–that overcome traditional die-size-imposed limits to computational power and memory size–extend to applications are designed to transform and improve lives. For example, they can be used for: Monitoring environmental parameters, including humidity and Air Quality Index (AQI); and capturing information embedded in motion, such as person-down systems to fitness apps that check posture. These devices typically have a longer time between charges and provide actionable information.

For more information, visit: https://qeexo.com/ and https://www.bosch-sensortec.com/

Tiera Oliver is the assistant managing editor at Embedded Computing Design. She is responsible for web content editing, product news, and story development. She also manages, edits, and develops content for ECD podcasts, including Embedded Insiders.

She utilizes her expertise in journalism and content management to oversee editorial content, coordinate with editors, and ensure high-quality output across web, print, and multimedia platforms. She manages diverse projects, assists in the production of digital magazines, and hosts company podcasts by conducting in-depth interviews with industry leaders to deliver engaging and insightful discussions.

Tiera attended Northern Arizona University, where she received her bachelor's in journalism and political science. She was also a news reporter for the student-led newspaper, The Lumberjack. 

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