Revolutionizing Vision and Edge AI Applications with CPUs

A talk by Gary Brown
Edge AI Marketing Leader & Technology Evangelist, Intel

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About this talk

Over the next few years, solving business problems utilizing computer vision and AI inference at the Edge will require better technology, lower cost and time-to-market. The promise of computer vision can solve some problems with high accuracy for sure. But new systems pushing the boundaries of edge computing require a mix of intelligence, compute performance, media analytics (video, speech, audio), networking and communications. Additionally, applications integrating AI at the Edge already have highly specialized requirements that make systems more complex, and make deployment at the edge seemingly impossible. In this talk, we will show the new systems architectures and configurations that are solving businesses’ problems, and share what companies are doing now to solve market-specific problems with the latest compute platforms, silicon technologies and software tools, to achieve new levels of intelligence at the edge. Learn about the applications incorporating vision and Edge AI with other technologies like networking, and dive into the hardware and software behind those applications, and why CPUs are at the heart of the latest solutions.

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