Animation alternating sad and happy emojis
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Online Clues to Mental Illness: NLP Model Analyzes Social Media for Signs of Mental Illness

Can social media posts reveal early signs of mental illness? A new machine learning model shows promising results. Researchers developed a model that analyzes messages and images posted by Facebook users for indicators of psychological problems.
Series of images describing how an AI-powered collar for elephants operates
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Algorithms For Elephants

An AI-powered collar may help protect wild elephants from poachers, hunters, and other hostile humans. Ten ElephantEdge wireless tracking collars will be fitted onto African elephants next year, TechCrunch reported.
Transkribus transcribing centuries-old letters and manuscripts
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Written by Quill, Read by Computer

The secrets of history are locked in troves of handwritten documents. Now a machine learning platform is making them amenable to digital search. Transkribus is transcribing centuries-old records en masse and making them available to scholars worldwide.
Data showing how new pretrained language models might learn facts like weight and cost
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The Measure of a Muppet

The latest pretrained language models have shown a remarkable ability to learn facts. A new study drills down on issues of scale, showing that such models might learn the approximate weight of a dog or cost of an apple, at least to the right order of magnitude.
Face recognition system working on a bear
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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.
Collage of self portraits
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Unsupervised Prejudice

Social biases are well documented in decisions made by supervised models trained on ImageNet’s labels. But they also crept into the output of unsupervised models pretrained on the same dataset.
Illustration of two witches with half a pumpkin each and the moon behind them
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The AI Community Splinters

Will international rivalries fragment international cooperation in machine learning? Countries competing for AI dominance will lash out at competitors.
Doctor holding candy and kid dressed as a ghost on a wheighing scale
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Unfair Outcomes Destroy Trust

Will AI that discriminates based on race, gender, or economic status undermine the public’s confidence in the technology? Seduced by the promise of cost savings and data-driven decision making, organizations will deploy biased systems that end up doing real-world damage.
Data related to a system that purportedly identified breast cancer
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Pushing for Reproducible Research

Controversy erupted over the need for transparency in research into AI for medicine. Google Health introduced a system that purportedly identified breast cancer more accurately than human radiologists.
Graphs and examples of Network dissection technique
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What One Neuron Knows

How does a convolutional neural network recognize a photo of a ski resort? New research shows that it bases its classification on specific neurons that recognize snow, mountains, trees, and houses.
Series of images related to a technology used to draw maps during a fight fire emergency
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Mapping the Inferno

An AI-powered eye in the sky is helping firefighters control woodland blazes. California used maps drawn by neural networks to fight fires that threatened Yosemite National Park earlier this year.
Screen captures of online platform Dynabench
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Dynamic Benchmarks

Benchmarks provide a scientific basis for evaluating model performance, but they don’t necessarily map well to human cognitive abilities. Facebook aims to close the gap through a dynamic benchmarking method that keeps humans in the loop.
Examples of CT scans with different contrasts
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More Data for Medical AI

Convolutional neural networks are good at recognizing disease symptoms in medical scans of patients who were injected with iodine-based dye, that makes their organs more visible. But some patients can’t take the dye. Now synthetic scans from a GAN are helping CNNs learn to analyze undyed images.
Data and examples related to a new technique to detect portions of an image
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The Telltale Artifact

Deepfakes have gone mainstream, allowing celebrities to star in commercials without setting foot in a film studio. A new method helps determine whether such endorsements — and other images produced by generative adversarial networks — are authentic.
Graphs comparing SimCLR to SimCLRv2
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Fewer Labels, More Learning

Large models pretrained in an unsupervised fashion and then fine-tuned on a smaller corpus of labeled data have achieved spectacular results in natural language processing. New research pushes forward with a similar approach to computer vision.

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