Qeexo

PRESS Qeexo AutoML Demo: Automating Machine Learning for Embedded Devices

Qeexo spun out of Carnegie Mellon University, has for a long time developed multi-touch technology for handset manufacturers which does ML on the device level. It has applied this approach to a new AutoML technology that allows companies to embed...

PRESS Exploring Embedded Machine Learning

In 1943 neurophysiologist Warren McCulloch and mathematician Walter Pitts wrote a paper on neurons and how they work. A model was created using an electrical circuit and the neural network came into being. Seventy years later these beginnings have...

PRESS Qeexo Launches AutoML, a Fully Automated Machine Learning Platform for Sensor Data at the Edge

Qeexo today announces the launch of its AutoML product, a one-click, fully automated platform that allows customers to rapidly build machine learning solutions for Edge devices using sensor data. Qeexo has selected the Arm® Cortex™-M0-M4 class...

PRESS Qeexo Launches Embedded Machine Learning Platform to Enable AI on Edge Devices

Qeexo, developer of machine learning and AI solutions for sensor data, today announced the launch of Qeexo Machine Learning Platform for embedded products and applications. The company also announced that its EarSense product has been named a CES®...

PRESS OPPO Find X has no proximity sensor due to Qeexo’s EarSense

OPPO has been absent in the flagship smartphone space for a very long time. The company’s last flagship smartphone was the Oppo Find 7, which was released back in 2014. After three years of releasing phones with mid-range chipsets, Oppo announced...

PRESS Qeexo EarSense Arrives On OPPO’s Find X

Qeexo, developer of lightweight machine learning and AI solutions for sensor data, announces a partnership with smartphone and consumer electronics manufacturer, OPPO, to bring Qeexo’s EarSense technology to the OPPO Find X smartphone. EarSense is...