Running accelerated ML applications on mobile and embedded devices using Arm NN | Arm скачать в хорошем качестве

Running accelerated ML applications on mobile and embedded devices using Arm NN | Arm

Register today for upcoming Arm Tech Talks: https://www.arm.com/techtalks Get ready for another one of our Arm Tech Talks! Every fortnight, we discuss and explore some of the latest trends, technologies and best practices in the world of AI, featuring partners from the AI Ecosystem as well as speakers across Arm. Increasingly, devices are performing AI at the furthest point in the system – on the edge or endpoint devices. As the industry-leading foundation for intelligent computing, Arm's ML technologies give developers the comprehensive hardware IP, software, and ecosystem platform. Arm NN is an accelerated inference engine for Arm CPUs, GPUs, and NPUs. It executes ML algorithms on-device to make predictions based on input data. Arm NN enables efficient translation of existing neural network frameworks, such as TensorFlow Lite, TensorFlow, ONNX, and Caffe, allowing them to run efficiently and without modification across Arm Cortex-A CPUs, Mali GPUs, and Ethos-N NPUs. In this technical session, we give you an overview of Arm NN with a focus on its plug-in framework. You can walk away with a working knowledge of using Arm NN to run ML models with accelerated performance on a mobile phone or a Raspberry Pi, and writing plug-ins to extend support for new neural network processing units. Speaker: James Conroy, Engineer, Arm