Trends in Machine Learning & Deep Learning with Zachary Lipton - #556

This article summarizes a podcast episode from "Practical AI" featuring Zachary Lipton, an assistant professor at Carnegie Mellon University. The discussion focuses on key trends in machine learning and deep learning in 2021, including the dominance of NLP, the slowdown in innovation, and the redistribution of research resources. The episode also covers challenges in peer review, notable research like the WILDS library, and the evolution of fairness, bias, and equity issues. Finally, it explores use cases, application areas, and Lipton's outlook for 2022 and beyond. The article provides a concise overview of the topics discussed in the podcast.