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The Future in Visual Computing: Research Challenges

ACM Sigarch

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. Advantages can be harnessed in terms of execution efficiency as well as realizing immersive VR usages for example. Quality vs Bandwidth.

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Generative AI in the Enterprise

O'Reilly

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. It’s also clear that there are few industries that won’t be touched—AI will become an integral part of almost every profession.