NXP Owns the Stage for Machine Learning in Edge Devices - NASDAQ.com

SAN JOSE, Calif. and BARCELONA, Spain, Oct. 16, 2018 (GLOBE NEWSWIRE) -- (ARMTECHCON and IoT World Congress Barcelona) - Mathematical advances that are driving the historic growth of machine learning (ML) in the cloud are now within reach of edge node developers with NXP's eIQ edge intelligence software environment and customizable, system-level solutions for focused applications. The eIQ software environment includes the tools necessary to structure and optimize cloud-trained ML models to efficiently run in resource-constrained edge devices for a broad range of industrial, Internet-of-Things (IoT), and automotive applications. The turnkey, production-ready solutions are specifically targeted for voice, vision, and anomaly detection applications. By removing the heavy investment necessary to become ML experts, NXP enables tens of thousands of customers whose products need machine learning capability. "Having long recognized that processing at the edge node is really the driver for customer adoption of machine learning, we created scalable ML solutions and eIQ tools, to make transferring artificial intelligence capabilities from the cloud-to-the-edge even more accessible and easy to use," said Geoff Lees, senior vice president and general manager of microcontrollers.