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

• [MIT] Injecting fairness into machine-learning models

• [The Gradient] Bootstrapping labels via supervision and human-in-the-loop

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Have a nice weekend! See you next week. — Andriy