Thomas Müller

(NVIDIA)

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Date: November 30, 2022

Description:

Neural networks have a reputation for being expensive to run and even more expensive to train, which makes them seem like a bad fit for high-performance tasks. But this is a misconception. Neural networks can run, and even be trained, in the inner loops of real-time renderers or SLAM systems when powered by the right data structures and algorithms. This talk is about these algorithms: why do they work? When does it makes sense to use them? And how important is such low-level engineering in a research project?

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