Tiny Machine Learning (TinyML) represents a transformative shift in deploying machine learning algorithms on resource‐constrained Internet of Things (IoT) devices. By enabling on-device inference and, ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

Qeexo spun out of Carnegie Mellon University, has for a long time developed multi-touch technology for handset manufacturers which does ML on the device level. It has applied this approach to a new ...

The pact is more broadly about removing the obstacles to running high-performance AI on IoT devices. The companies touted the potential for the tie-up, which gives the more than 30 million developers ...