Jay Johnson, Sr. Manager, Business Development, Renesas Jay’s career in semiconductors spans several decades from sales at Texas Instruments to leading numerous product marketing teams and sales organizations at Intel, Atmel and AMD with embedded processor technology. In his current role as Senior Business Development Manager in the Infrastructure and IoT Business Unit at Renesas, he works with key customers and ecosystem partners to offer complete solutions and enable new MCU markets in consumer, industrial, and IoT. Jay has a BSEET degree from Kansas State University and an MBA and currently resides in Silicon Valley.
Tina Shyuan, Director of Product Marketing, Qeexo Tina helps businesses apply Qeexo AutoML to build innovative solutions using sensor data. She has a passion for building and launching cutting-edge machine learning technologies and has launched many successful ML products during her six years at Qeexo. Tina is an advocate for running machine learning at the Edge, and actively contributes to the tinyML community. Tina holds an MBA from Columbia University and a BS degree in EECS from UC Berkeley. Before Qeexo, she was a software consultant and facilitated the end-to-end integration of enterprise processes.

Building tinyML Solutions for the Edge

In partnership with Renesas Electronics

In this workshop-style webinar, we will: 

• Give an overview of the Renesas RA6M3 MCU and IoT Sensor Board.

• Show a use-case demo of how the on-board ZMOD gas sensor can use machine learning to detect changes in air quality.

• Discuss the benefits & challenges of running machine learning at the Edge.

• Walk attendees through the installation and setup of Qeexo AutoML. (Please come with a Windows or Mac laptop with the Google Chrome browser installed.)

• Demo the simple data collection and visualization with the Qeexo AutoML interface.

• Build multiple machine learning models and deploy them to the Renesas RA6M3 MCU IoT Sensor Board for live-testing with just a few clicks.

As a bonus for attending, Renesas will randomly select members of the audience to receive the Renesas RA6M3 MCU IoT Sensor Board, which you can use to experience the power of Qeexo AutoML firsthand.

Attendees should register for Qeexo AutoML and download this CSV file prior to the live event.

(Open CSV file link, click on File->Save-As->Download a Copy)

This file contains 30 seconds of vibration data collected with the Renesas RA6M3 board with the fault simulator running at 1500 RPM.

Free Webinar Registration

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