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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. One such example is activity recognition in motion video (such as LRCN , Convnets ) which may entail running combinations of both convolutional as well as recurrent neural networks 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. The same thing happened to networking 20 or 25 years ago: wiring an office or a house for ethernet used to be a big deal. Now we expect wireless everywhere, and even that’s not correct.