-
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 -
PRESS Lose the MCU: ST and Qeexo Simplify Machine Learning with AutoML
Intelligent decision-making has moved to the edge with machine learning, though deployment could be complicated. Qeexo and STMicroelectronics are looking to change that.
All About Circuits 19 May 2021 -
PRESS Qeexo Collaborates with ST to Automate Machine Learning on Machine Learning Core (MLC) Sensors
Company also debuts the Qeexo Model Converter to optimize customers’ existing machine learning models for the Edge MOUNTAIN VIEW, CALIF. (PRWEB) MAY 18, 2021 Qeexo, developer of an automated machine learning (ML) platform that accelerates the...
Qeexo 18 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 -
PRESS Building effective IoT applications with tinyML and automated machine learning
IoT enables continuous monitoring of environments and machines using tiny sensors. Advances in sensor technologies, microcontrollers, and communication protocols made mass production of IoT platforms, with many connectivity options, possible at...
Embedded 27 January 2021 -
PRESS The insideBIGDATA IMPACT 50 List for Q1 2021
The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine...
insideBIGDATA 05 January 2021