NXP Semiconductors recently announced that it is enhancing its machine learning development environment and product portfolio. Through an investment, NXP reportedly has established an exclusive, strategic partnership with Canada-based Au-Zone Technologies to expand the NXP eIQ Machine Learning (ML) software development environment with ML tools and expand its offering of silicon-optimized inference engines for Edge ML.
NXP also announced that it has been working with Arm as the lead technology partner in evolving Arm Ethos-U microNPU (Neural Processing Unit) architecture to support applications processors. NXP will integrate the Ethos-U65 microNPU into its next generation of i.MX applications processors to deliver energy-efficient, cost-effective ML solutions for the fast-growing Industrial and IoT Edge.
“NXP’s scalable applications processors deliver an efficient product platform and a broad ecosystem for our customers to quickly deliver innovative systems,” said Ron Martino, SVP and GM, Edge Processing business line, NXP Semiconductors. “Through these partnerships with both Arm and Au-Zone, in addition to technology developments within NXP, our goal is to continuously increase the efficiency of our processors while simultaneously increasing our customers’ productivity and reducing their time to market. NXP’s vision is to help our customers achieve lower cost of ownership, maintain high levels of security with critical data, and to stay safe with enhanced forms of human-machine-interaction.”
According to the release, Au-Zone’s DeepView ML Tool Suite will augment eIQ with an intuitive graphical user interface (GUI) and workflow in order to enable developers to import datasets and models, train, and deploy models and workloads across the Edge processing portfolio.
“Au-Zone is incredibly excited to announce this investment and strategic partnership with NXP, especially with its exciting roadmap for additional ML accelerated devices,” said Brad Scott, CEO, Au-Zone. “We created DeepView to provide developers with intuitive tools and inferencing technology, so this partnership represents a great union of world class silicon, run-time inference engine technology, and a development environment that will further accelerate the deployment of embedded ML features. This partnership builds on a decade of engineering collaboration with NXP and will serve as a catalyst to deliver more advanced Machine Learning technologies and turnkey solutions as OEM’s continue to transition inferencing to the Edge.”
Ken Briodagh is a storyteller, writer and editor with about two decades of experience under his belt. He is in love with technology and if he had his druthers would beta test everything from shoe phones to flying cars.
Edited by Ken Briodagh