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Join Synopsys at booth 309 to learn about the broad range of AI capabilities in the ARC Embedded Processor IP portfolio. You'll see demonstrations of emerging neural network architectures like transformers, neural network based ISP, and vision/object detection for safety-critical automotive SoCs.
At our Booth #309 we will highlight the latest in practical technology to bring visual intelligence into embedded systems, mobile apps, cars, and PCs.
Please check back to this page as we update our event agenda.
Tom Michiels, System Architect, ARC Processors, Synopsys
The neural network models used in embedded real-time applications are evolving quickly. Transformer networks are a deep learning approach that has become dominant for natural language processing and other time-dependent, series data applications. Now, transformer-based deep learning network architectures are also being applied to vision applications with state-of-the-art results compared to CNN-based solutions. In this presentation, we will introduce transformers and contrast them with the CNNs commonly used for vision tasks today. We will examine the key features of transformer model architectures and show performance comparisons between transformers and CNNs. We will conclude with insights on why we think transformers will become increasingly important for visual perception tasks.
Tuesday, May 23 | 12:30 PM – 7:30 PM PDT
Wednesday, May 24 | 10:30 AM – 6:00 PM PDT
Time to meet with Synopsys executives and technical experts.
Visit the Synopsys booth to see demonstrations of emerging neural network architectures like transformers, neural network based ISP, and vision/object detection for safety-critical automotive SoCs.
Visionary.ai True Night Vision SW ISP
Come see this live hardware demonstration of Visionary.ai's AI software image signal processor (ISP) as it delivers drastically better results in low light, and superior color accuracy in high light compared to a camera using a standard ISP.
If you are an SoC designer interested in embedded vision, an automotive chip architect for safety-critical radar/vision applications, or an AI and software company interested in Synopsys come check us out.