Jan. 3, 2022, 2 p.m. | Kimberly McGuire, Srini Penchikala, Rags Srinivas, Anthony Alford

InfoQ - AI, ML & Data Engineering www.infoq.com

How AI, ML and Data Engineering evolved in 2021 as seen by the InfoQ editorial team.
Topics discussed include deep learning, edge deployment of machine learning algorithms, commercial robot platforms, GPU and CUDA programming, natural language processing and GPT-3, MLOps, and AutoML.

By Kimberly McGuire, Srini Penchikala, Rags Srinivas, Anthony Alford

ai algorithms architecture & design data data engineering engineering gpu ml ml & data engineering podcast programming languages report robotics the infoq podcast trends

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