May 26, 2021

5 Posts

Face Recognition for the Masses, Labeling Libel, Documenting Datasets, What Machines Want to See
May 26, 2021

Face Recognition for the Masses, Labeling Libel, Documenting Datasets, What Machines Want to See

Benchmarks have been a significant driver of research progress in machine learning. But they've driven progress in model architecture, not approaches to building datasets, which can have a large impact on performance in practical applications.
9 min read
PimEyes working with pictures of Andrew Ng
May 26, 2021

Face Recognition for the Masses

Face recognition tech tends to be marketed to government agencies, but PimEyes offers a web app that lets anyone scan the internet for photos of themself — or anyone they have a picture of. The company says it aims to help people control their online presence and fight identity theft.
2 min read
Libel-detection system working
May 26, 2021

Double Check for Defamation

A libel-detection system could help news outlets and social media companies stay out of legal hot water. CaliberAI, an Irish startup, scans text for statements that could be considered defamatory, Wired reported.
2 min read
Walking through a narrow hallway in a library
May 26, 2021

Bias By the Book

Researchers found serious flaws in an influential language dataset, highlighting the need for better documentation of data used in machine learning.
1 min read
A new metod for compressing images and yielding better classification
May 26, 2021

What Machines Want to See

Researchers typically downsize images for vision networks to accommodate limited memory and accelerate processing. A new method not only compresses images but yields better classification.
1 min read

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