Image recognition examples
Vision

Smaller Models, Bigger Biases: Compressed face recognition models have stronger bias.

Compression methods like parameter pruning and quantization can shrink neural networks for use in devices like smartphones with little impact on accuracy — but they also exacerbate a network’s bias.
Doctors using AI-related tools on different devices
Vision

Insurance Coverage for AI: Medicare covers AI stroke detection.

The U.S. government’s largest national health insurance plan will pay for hospital use of a deep learning model, building momentum for AI to become an integral part of the doctor’s toolkit.
Omega Timing screenshots showing different sports data
Vision

Olympic AI: 2020 Tokyo Olympics times athletes using AI.

Computer vision is keeping a close eye on athletes at the Summer Olympic Games in Tokyo. Omega Timing, a Swiss watchmaker and the Olympic Games’ official timekeeper, is providing systems that go far beyond measuring milliseconds.
Simpler multilayer neural network
Vision

Revenge of the Perceptrons: Perceptrons do some AI tasks on par with complex AI.

Why use a complex model when a simple one will do? New work shows that the simplest multilayer neural network, with a small twist, can perform some tasks as well as today’s most sophisticated architectures.
Video showing AI working on a video-game to blast virtual enemies at superhuman speed
Vision

Fake Aim: Gamers cheat with AI-powered aim assist.

Gamers looking to cheat in first-person shooters can’t miss with AI-assisted marksmanship. A video-game hack uses computer vision to blast virtual enemies at superhuman speed, Ars Technica reported.
Frozen Pretrained Transformer (FPT) explained
Vision

Transformers Are Smarter Than You Think: Language transformers can do math, vision, and logic.

The transformer architecture has shown an uncanny ability to model not only language but also images and proteins. New research found that it can apply what it learns from the first domain to the others.
Series of images showing how single trained network generates 3D reconstructions of multiple scenes
Vision

One Network, Many Scenes: Combining NeRF with VAE to generate 3D scenes

To reconstruct the 3D world behind a set of 2D images, machine learning systems usually require a dedicated neural network for each scene. New research enables a single trained network to generate 3D reconstructions of multiple scenes.
Screen captures of a job interviews automation system
Vision

Danke for the Interview: AI-powered interview tools mistook German for English.

An independent test found flaws in AI systems designed to evaluate job applicants. MyInterview and Curious Thing, which automate job interviews, gave a candidate who spoke only in German high marks on English proficiency, according to MIT Technology Review.
Image showing how object detectors work
Vision

I Know It When I See It: Zero-shot detection for objects not in training data.

Object detectors typically detect only items that were labeled in their training data. A new method liberates them to locate and recognize a much wider variety of objects.
Traffic signals controlled by AI
Vision

Lighter Traffic Ahead: NoTraffic promises shorter commutes with computer vision.

Traffic signals controlled by AI are keeping vehicles rolling citywide. Several U.S. cities are testing systems from Israel-based startup NoTraffic that promise to cut both commute times and carbon emissions.
Series of imagen showing how an insect-sorting robot works
Vision

Bugbot: How AI can help with the insect biodiversity crisis.

An insect-sorting robot could help scientists grapple with the global biodiversity crisis. An automated insect classifier sucks in tiny arthropods, classifies them, and maps their most important identifying features.
New approach to automated real-estate assessment
Vision

Home Sweet AI-Appraised Home: Inside Zillow's neural network for home price predictions.

Real estate websites helped turn automated real-estate assessment into a classic AI problem. The latest approach by a leader in the field gets a boost from deep learning.
Woman at an Amazon Go using Just Walk Out technology
Vision

No Cashier? No Problem: Amazon supermarkets go cashier-less thanks to AI.

Shoppers at Amazon’s newest grocery store can skip the checkout line. Amazon opened its first full-scale supermarket that monitors which items customers place in their cart and charges them automatically when they leave. It calls the system Just Walk Out.
Few-shot Learning with a Universal Template (FLUTE)
Vision

Pattern for Efficient Learning: A training method for few-shot learning in computer vision.

Getting high accuracy out of a classifier trained on a small number of examples is tricky. You might train the model on several large-scale datasets prior to few-shot training, but what if the few-shot dataset includes novel classes? A new method performs well even in that case.
Fire-spotting cameras alerting a fire engine
Vision

Where There’s Smoke, There’s AI: Computer vision system can see wildfire smoke.

An automated early warning system is alerting firefighters to emerging blazes.

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