True Positive Weekly #55
The most important artificial intelligence and machine learning links of the week
Hey, in this issue: the state of AI in 9 charts; a new PyTorch library to train models faster; restoring and attributing ancient texts; new research on deep learning for tabular data; a survey on efficient transformers; injecting fairness into machine-learning models; bootstrapping labels via supervision and human-in-the-loop; and more.
[Stanford] The state of AI in 9 charts (and the entire 2022 AI Index Report)
AI critical to business success in post-pandemic world, study finds
[Project] Composer: a new PyTorch library to train models ~2-4x faster with better algorithms
[Project] Restoring and attributing ancient texts using deep neural networks
[Sponsored] AI Chambers – Ask an experienced AI Patent Attorney via 1-on-1 Zoom meeting, powered by Ridout & Maybee. Meet monthly.
[ArXiv] On embeddings for numerical features in tabular deep learning (code)
[ArXiv] Efficient transformers: a survey
[The Gradient] Bootstrapping labels via supervision and human-in-the-loop
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Have a nice weekend! See you next week. — Andriy