True Positive Weekly #56

The most important artificial intelligence and machine learning links of the week

Hey, in this issue: Auto-generated summaries in Google Docs; deep clustering with an unknown number of clusters; public dataset of 5.85 billion image-text pairs; there are limitations to what deep neural networks can do; can computers learn common sense? and more.

• [Google] Auto-generated summaries in Google Docs

• [Project] DeepDPM: deep clustering with an unknown number of clusters (paper, code)

• [Google] Pathways Language Model (PaLM): scaling to 540 billion parameters for breakthrough performance

• [Sponsored] AI Chambers – Ask an experienced AI Patent Attorney via 1-on-1 Zoom meeting, powered by Ridout & Maybee. Meet monthly.

• [Data] LAION-5B: public dataset of 5.85 billion image-text pairs

• [Meta] Generating chit-chat including laughs, yawns, 'ums,' & other nonverbal cues from raw audio

• [IEEE] New research suggests there are limitations to what deep neural networks can do

• Can computers learn common sense?

• [Twitter] Graph machine learning with missing node features

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