Nov 25, 2020

5 Posts

Government AI Falls Short, Face Recognition for Bears, Research Papers in One Sentence, Counting Crowds
Nov 25, 2020

Government AI Falls Short, Face Recognition for Bears, Research Papers in One Sentence, Counting Crowds

Over the last two weeks, I described the importance of clean, consistent labels and how to use human-level performance (HLP) to trigger a review of whether labeling instructions need to be reviewed.
9 min read
Graphs with data related to AI use cases
Nov 25, 2020

Washington Wrestles with AI

The U.S. government’s effort to take advantage of AI has not lived up to its promise, according to a new report. Implementations of machine learning systems by federal agencies are “uneven at best, and problematic and perhaps dangerous at worst".
2 min read
Example of a crowd size estimate
Nov 25, 2020

Better Crowd Counts

Did a million people attend the Million Man March? Estimates of the crowd size gathered at a given place and time can have significant political implications — and practical ones, too, as they can help public safety experts deploy resources for public health or crowd control.
2 min read
Face recognition system working on a bear
Nov 25, 2020

Caught Bearfaced

Many people worry that face recognition is intrusive, but wild animals seem to find it bearable. Melanie Clapham at University of Victoria with teammates of the BearID Project developed a model that performs face recognition for brown bears.
1 min read
Screen capture of a Semantic Scholar search with TLDR summaries generated by AI
Nov 25, 2020

Very Short, Did Read

A new summarization model boils down AI research papers to a single sentence. TLDR from Allen Institute for AI creates at-a-glance summaries of scientific research papers. It’s up and running at Semantic Scholar, a research database, where searches now return its pithy precis.
2 min read

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