Dishwashing robot working
Vision

AI Does the Dishes: Dishcraft Robotics automatically cleans dishes and utensils.

A pioneer in dishwashing robots is reaching into commercial kitchens. Dishcraft Robotics uses machines equipped with computer vision to scrub dirties for corporate food services and, soon, restaurants.
Data related to YOLOv4
Vision

Another Look at YOLO: How YOLOv4 is different from earlier versions

The latest update of the acclaimed real-time object detector You Only Look Once is more accurate than ever. Researchers at Taiwan’s Institute of Information Science Academia Sinica offer YOLOv4 — the first version not to include the architecture’s original creators.
Animated drawing of hardware related to AI
Vision

Horsepower for Next-Gen Networks: Microsoft built OpenAI a custom AI supercomputer.

The for-profit research organization OpenAI has a new supercomputer to help achieve its dream of building the world’s most sophisticated AI. Microsoft engineered the new hardware network to train immense models on thousands of images, texts, and videos simultaneously.
Data related to few-shot learning
Vision

Small Data the Simple Way: A training technique that can outperform few-shot learning

Few-shot learning seeks to build models that adapt to novel tasks based on small numbers of training examples. This sort of learning typically involves complicated techniques, but researchers achieved state-of-the-art results using a simpler approach.
Information and examples of CheXbert, a network that labels chest X-rays
Vision

Human-Level X-Ray Diagnosis: A research summary of CheXbert for labeling chest x-rays

Like nurses who can’t decipher a doctor’s handwriting, machine learning models can’t decipher medical scans — without labels. Conveniently, natural language models can read medical records to extract labels for X-ray images.
False information about Covid-19 on Facebook posts
Vision

Information Warfare Covid Edition: Facebook used humans and AI to spot false Covid claims.

Facebook’s AI can’t spot Covid-19 disinformation on its own. But with human help, it can slow the spread. Facebook uses a combination of humans and neural nets to crack down on messages that make false claims about Covid-19, which may have deadly consequences.
Face recognition system identifying a person wearing a mask
Vision

Mask Monitor: Paris and Cannes used computer vision to detect face masks.

Cameras that detect face masks are helping French authorities to evaluate citizens’ adherence to government mandates intended to fight Covid-19. Starting this week, everyone riding public transportation in France is required to wear a face mask.
Excerpts from Newspaper Navigator
Vision

An Archive Unearthed: Newspaper Navigator indexes visual elements in archival text.

An algorithm indexed photos, ads, and other images embedded in 170 years of American newspapers. Created by researchers at the University of Washington and U.S. Library of Congress, Newspaper Navigator uses object recognition to organize visual features of newspapers dating back to 1789.
Data and graphs related to teacher networks
Vision

Flexible Teachers, Smarter Students: Meta Pseudo Labels improves knowledge distillation.

Human teachers can teach more effectively by adjusting their methods in response to student feedback. It turns out that teacher networks can do the same.
Beaches buried in plastic and garbage
Vision

Seeing Sea Plastic: Computer vision spots ocean trash from satellite imagery.

A machine learning model is scanning the oceans for the glint of garbage. Researchers from the UK’s Plymouth Marine Laboratory trained a model to identify ocean-borne refuse.
Self-driving software working
Vision

Tracking the Elusive Stop Sign: How Tesla trained its cars to recognize stop signs

Recognizing stop signs, with their bold color scheme and distinctive shape, ought to be easy for computer vision — but it turns out to be a tricky problem. Tesla pulled back the curtain on what it takes to train its self-driving software to perform this task and others.
Series of images and data related to a tool that maps where hurricanes and other calamities have wiped out roads
Vision

Roads to Recovery: AI maps the route through disaster zones

Deep learning promises to help emergency responders find their way through disaster zones. MIT researchers developed a tool that maps where hurricanes and other calamities have wiped out roads, helping to show aid workers the fastest ways to get to people in need.
Graphs and data related to Scan2Plan, a model that segments 3D scans of empty indoor spaces into floor plans
Vision

Finding a Floor Plan: Scan2Plan helps vacuum robots create interior maps.

Robot vacuum cleaners are pretty good at navigating rooms, but they still get stuck in tight spaces. New work takes a step toward giving them the smarts they’ll need to escape the bathroom.
Image processing technique explained
Vision

Preserving Detail in Image Inputs: Better image compression for computer vision datasets

Given real-world constraints on memory and processing time, images are often downsampled before they’re fed into a neural network. But the process removes fine details, and that degrades accuracy. A new technique squeezes images with less compromise.
Precision Health Toilet illustration
Vision

A Neural Net in Every Bathroom: A smart toilet uses AI to monitor waste for signs of disease.

It’s time to stop flushing valuable data down the toilet. The Precision Health Toilet, a suite of sensors that attach to an ordinary commode, monitors human waste for input for signs of disease. It identifies individual users by scanning where the sun doesn’t shine.

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