Start Time: 10:30 am
End Time: 11:00 am
In this talk, we’ll present the full range of Cadence Tensilica edge AI processing solutions. These silicon IP-based solutions serve markets from low-cost voice-activated consumer devices to high-throughput autonomous vehicle perception. They are widely deployed in high-volume AI-enabled end products such as smart speakers, mobile phones, surveillance cameras and automotive subsystems. Different applications have different requirements, and requirements evolve over time. In addition, diverse algorithms are often employed within an application for pre-processing, inference and post-processing. We’ll show how the Cadence Tensilica edge AI processors meet the needs of specific markets, including distributing processing across low-power, programmable DSP and AI accelerators. We’ll also highlight key trends in DNN topologies, and make the case that, due to rapid progress in neural network research and varying processing requirements, programmable solutions are essential. Finally, we’ll outline the other elements of the Cadence Tensilica edge AI processing solutions, including software tools and support for a wide range of software frameworks.
There will be a live Q&A session with the presenter immediately following the presentation.