Machine learning models + IoT data = a smarter world

With the IoT market set to triple in size by 2020, and massive increases in computing power on small devices, the intersection of IoT and machine learning is a trend that all developers should pay attention to. This talk will cover three core use cases, including: how to manage sourcing data from IoT devices to drive machine-learned models; how to deploy and use trained models on mobile devices; and how to do on-device training with a Raspberry Pi computer.

Machine learning models + IoT data = a smarter world (Google I/O '18)

Getting started with ARM mbed Integrated Development Environment

Find out more information: http://bit.ly/Nucleo-ARM-mbed

This video shows how to get started with ARM mbed Integrated Development Environment using STM32 Nucleo platform. It explains the steps to perform to get your nucleo platform ready to use on mbed. Then it is described through an example how used the IDE to develop an application based on the numerous projects availables form mbed community.

Check out our community site where you can meet other makers/companies and ST FAEs http://bit.ly/ST-COMMUNITY