Da Vinci - A Scaleable Architecture for Neural Network Computing (updated v7)
Da Vinci - A Scaleable Architecture for Neural Network Computing (updated v7)
In this presentation, we introduce microprocessor trends, describe two distinct eras of computing usage in training AI systems and show the wide variety of computing architectures in computer science. We also explain our advanced computing and artificial intelligence product portfolio, which focuses on innovation, continuous dedication and backward compatibility. The central part of this talk gives insights into our Da Vinci architecture, descriptions of all building blocks, the core architecture and its micro-architectural configuration. Last, we show how we execute artificial intelligence projects and the challenges that are still ahead of us.
Additional content:
Information on the applicability of artificial intelligence in modern medicine
Insights into the end-to-end life cycle of AI implementations in projects
Details of our software stack
Additional background information in the introduction section
Shows comparisons of different processors for AI
Describes how AI processor architectures will shift in the future
Describes the basic principles of Convolutional Neural Networks
Shows the advantages of our special compute units for AI
Shows Mind Studio in more detail
Shows an excerpt of listed models of our Model Zoo
Advises on how to start with our Atlas 200 DK developer board
Additional application scenarios for artificial intelligence (upscaling and colourisation for video footage)
Information on our chip enablement layer and used computing language
Detailed instructions on how to prepare the development environment, the SD card image and the installation of third-party packages
Detailed description to create the first project: Colourful Image Colourisation
Object detection
Body pose detection
