-
BLOG Integrating AutoML with front-end Apps
A demo Qeexo has shown at various trade shows that always gets a great response is what we call our Smart Shipping demo that uses a classifier trained in Qeexo AutoML running on a STMicro STWINKT1B device that is able to detect and display what is...
Mike Sobczak, Sr Software Engineer 16 February 2022 -
BLOG STWin Now Supports DFU-Util
Starting with Qeexo AutoML 1.15.0, existing STWin users will have the option to migrate support from OpenOCD to DFU-Util to achieve flashing, data collection, and live testing through a single USB cable, omitting the STLink programming adapter. To...
Qeexo 19 January 2022 -
BLOG Model Performance Evaluation in Qeexo AutoML
Introduction Qeexo AutoML provides feedback on trained models through tables and charts. These visualizations can be useful in determining how models trained in Qeexo AutoML should perform in live classification and can help form suggestions for how...
Dr. Geoffrey Newman, Dr. Leslie Schradin III, Tina Shyuan 10 September 2021 -
BLOG Cross-Platform Swift at Scale
The dream of every developer is to be able to write code once and deploy everywhere. This allows for smaller teams to deploy more reliable products to a wider variety of users. Unfortunately, due to the numerous different operating systems with...
Alex Taffe 14 July 2021 -
BLOG Tree Model Quantization for Embedded Machine Learning Applications
This blog post is a companion to my talk at tinyML Summit 2021. The talk and this blog overlap in some content areas, but each also has unique content that complements the other. Please check out the video if you are interested. Why Quantization?...
Dr. Leslie J. Schradin, III 28 May 2021 -
BLOG Introducing Qeexo Model Converter
Our latest API service for fitting your existing ML models onto an embedded target as small as a Cortex-M0+! Qeexo AutoML offers end-to-end machine learning with no...
Gilbert Tsang, Director of Product Management 29 April 2021