NXP is hoping to improve its machine learning offerings after making a strategic investment in Au-Zone Technologies. The exclusive arrangement specifically concerns Au-Zone's DeepView ML Tool Suite, which will be used to bolster NXP's eIQ Machine Learning software development environment and lead to the creation of new Edge machine learning products. In that regard, the DeepView Suite comes with a graphical user interface (GUI) and workflows that will make it easier to import datasets, and to train neural network models for Edge devices. DeepView's run-time inference engine will give eIQ developers more insight into system memory usage, data movement, and other performance metrics in real time, which will in turn allow them to optimize their model before deploying it in a System-on-Chip (SoC) solution."This "This will serve as a catalyst to deliver more advanced Machine Learning technologies and turnkey solutions as [Original Equipment Manufacturers] continue to transition inferencing to the Edge."In

NXP is hoping to improve its machine learning offerings after making a strategic investment in Au-Zone Technologies. The exclusive arrangement specifically concerns Au-Zone's DeepView ML Tool Suite, which will be used to bolster NXP's eIQ Machine Learning software development environment and lead to the creation of new Edge machine learning products. In that regard, the DeepView Suite comes with a graphical user interface (GUI) and workflows that will make it easier to import datasets, and to train neural network models for Edge devices. DeepView's run-time inference engine will give eIQ developers more insight into system memory usage, data movement, and other performance metrics in real time, which will in turn allow them to optimize their model before deploying it in a System-on-Chip (SoC) solution. "This partnership will accelerate the deployment of embedded Machine Learning features," said Au-Zone CEO Brad Scott.

NXP Semiconductors N.V. announced that it is enhancing its machine learning development environment and product portfolio. Through an investment, NXP has established an exclusive, strategic partnership with Canada-based Au-Zone Technologies to expand NXP's eIQ Machine Learning (ML) software development environment with easy-to-use ML tools and expand its offering of silicon-optimized inference engines for Edge ML. Additionally, NXP 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, Senior Vice President and General Manager of Edge Processing at NXP Semiconductors.