Konferenzen und Rahmenprogramm
Machine Learning Building Blocks for Industrial Applications
Machine learning technology is being deployed in many areas of embedded systems. This technology is composed of many hardware and software building blocks. These building blocks can be used to create integrated optimized machine learning enablement for different processing elements of embedded systems such as cores, GPU's. DSP's and various forms of machine learning accelerators. In this presentation an architecture of machine learning building blocks is presented and an industry case study of how to apply these building blocks to embedded system end nodes as well as the edge. A concept for how to integrate these core building blocks into the cloud for machine learning model creation and deployment is also discussed.
--- Datum: 26.02.2020 Uhrzeit: 9:30 - 10:00 Uhr Ort: Conference Counter NCC Ost