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The Future in Visual Computing: Research Challenges

ACM Sigarch

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Such innovation in AI algorithms and approaches results in an increase in model size, exponential growth in the compute needs, caching of temporal states, and multiple models to run simultaneously. Quality vs Bandwidth.

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Generative AI in the Enterprise

O'Reilly

Several respondents also mentioned working with video: analyzing video data streams, video analytics, and generating or editing videos. We can’t tally and tabulate all the responses, but it’s clear that there’s no shortage of creativity and innovation. Now we expect wireless everywhere, and even that’s not correct.