Qeexo AutoML Now Hosted on AWS, Adds Algorithm Support

June 09, 2020

News

Qeexo AutoML Now Hosted on AWS, Adds Algorithm Support

For a limited time, users can register for a free Bronze package of AutoML that allows them to upload or collect data sets and automatically build and deploy lightweight machine learning models.

The latest release of Qeexo AutoML makes the automated TinyML model development and deployment platform available as a web application hosted on Amazon Web Services (AWS). Other significant features of the release include:

  • Support for RNNs, Isolation Forests, and Local Outlier Factor algorithms
  • A classifier optimized for anomaly detection
  • Manual selection of sensors and sensor data features used in model building after data has been recorded
  • The ability to visualizes classes separately
  • Classification sensitivity tuning using visualization and sensitivity analysis tools
  • Neural network parameter configurations (such as quantization-aware training)

Qeexo AutoML has currently been ported to the Arduino Nano 33 BLE Sense, Renesas RA6M3 ML Sensor Module, and STMicroelectronics STWINKT1 and SensorTile.box.

For a limited time, users can register for a free Bronze package of AutoML that allows them to upload or collect data sets and automatically build and deploy lightweight machine learning models onto embedded hardware targets.

For more information, visit http://automl.qeexo.com.

To see the Qeexo AutoML platform in action, watch the video below.

Featured Companies

Tiera Oliver, editorial intern for Embedded Computing Design, is responsible for web content edits as well as newsletter updates. She also assists in news content as far as constructing and editing stories. Before interning for ECD, Tiera had recently graduated from Northern Arizona University where she received her B.A. in journalism and political science and worked as a news reporter for the university's student led newspaper, The Lumberjack.

More from Tiera