Qeexo

Join Tina for a hands-on workshop of how to automatically build multiple ML models with Qeexo AutoML on the ST SensorTile.box!

Models built on Qeexo AutoML are so tiny, they can run on a Cortex M0+! Josh will show you how it's done.

Come join Qeexo at Hannover Messe, the go-to conference for the industrial space.
FREE tickets to virtual event available upon request!

Webinar Series: Fast and Fearless - The Future of IoT Software Development
Part Two of Four: AI and IoT Innovation

In this talk, we will discuss the benefits and challenges of tinyML, its industry trends and applications, how to scale tinyML solutions, and share our latest research and technologies in machine learning using sensor data.

We hope you’re as excited as we are to return to the live trade show floor! Come join Qeexo at booth #738 to see our latest tinyML demos, featuring Qeexo AutoML with ST MLC sensors.

During this open discussion with Q&A, these founders will share the things they wish they’d have known before starting out, how to stay focused on your goals and top tips for improving your opportunities and achieving success.

In this talk, we will discuss the benefits and challenges of tinyML, its industry trends and applications, how to scale tinyML solutions with Qeexo AutoML.

Join us for 1-hour webinar on intelligent and ultra-low power asset tracking development with ST sensors and demo with ST Partner Qeexo.

Join Paul Cihak, EVP of ST Americas Region as he sits down with Federico Faggin – father of the microprocessor, Siana Systems, Microsoft, Qeexo, Avnet, and Synapse

This talk will cover a demonstration and discussion of Qeexo’s machine learning for M0+ platforms, appropriate machine-learning applications, and the Arm Virtual Hardware Platform.

Join Elias Fallon, VP of Machine Learning for Qeexo and panelists from Aspinity, Bosch, Innotescus, and Vertica, as we take a deep look into what is next for the data analytics, artificial intelligence, and machine learning industries.

Booth #607
David L. Lawrence Convention Center, Pittsburgh PA

Building custom keyword detection models for Arm Virtual Hardware with Qeexo AutoML

Optimizing AutoML for the tinyML Future

US Pavilion – Hall 5, Stand E36
Hannover, Germany

We will demonstrate the quick development of a specific noise detection machine learning model and evaluation of that model using the no-code Qeexo AutoML flow.

In this session we will show you how to use Qeexo AutoML to easily collect data, train models, and deploy working models to ST Machine Learning Core (MLC) without writing any code.