Qeexo Collaborates with ST to Automate Machine Learning on Machine Learning Core (MLC) Sensors
Summary
Traditionally, due to limited computation power, memory size, and battery life, building machine learning solutions for edge devices had been challenging. Its one-click, fully automated platform allows customers to rapidly build machine learning solutions for edge devices using sensor data. By moving machine learning to embedded processors and now sensors on edge devices, developers can improve privacy, latency, and availability. Our one-click, fully-automated Qeexo AutoML platform allows customers to leverage sensor data to rapidly build machine learning solutions for highly constrained environments with applications in industrial, IoT, wearables, automotive, mobile, and more. Delivering high performance, solutions built with Qeexo AutoML are optimized to have ultra-low latency, ultra-low power consumption, and an incredibly small memory footprint.