Classification

147 Posts

Capture of Honorlock, an AI-powered software designed to catch students who cheat on academic examinations
Classification

Court Blocks AI-Assisted Proctoring: AI Cheating Software Loses in Court

A U.S. court ruled against an implementation of AI-powered software designed to catch students who cheat on academic examinations.
2 min read
Object-Detection Transformers Simplified: New Research Improves Object Detection With Vision Transformers
Classification

Object-Detection Transformers Simplified: New Research Improves Object Detection With Vision Transformers

ViTDet, a new system from Facebook, adds an object detector to a plain pretrained transformer.
2 min read
Animated flowcharts show how the ProtCNN AI model classifies proteins.
Classification

Protein Families Deciphered: Machine Learning Categorizes Proteins Based on Their Functions

Convolutional neural networks separate proteins into functional families without considering their shapes.
2 min read
An animation shows an AI-powered system called From Numbers to Names, which identifies Holocaust victims in photographs.
Classification

Identifying Faces of History: From Numbers to Names Uses AI to Identify Holocaust Victims

From Numbers to Names matches individuals to faces in publicly available images related to the genocide of European Jews between 1941 and 1945.
2 min read
Bees pollinating flowers
Classification

Protection for Pollinators: AI Could Help Create Pesticides That Don’t Kill Bees

A machine learning method could help chemists formulate pesticides that target harmful insects but leave bees alone. Researchers at Oregon State University developed models that classify whether or not a chemical is fatally toxic to bees.
1 min read
A flowchart shows how a jury learning method reduces annotator bias in machine learning models.
Classification

Choose the Right Annotators

A new machine learning method attempts to account for biases that may be held by certain subsets of labelers.
2 min read
Flowcharts show how a new contrastive learning approach uses metadata to improve AI image classifiers
Classification

Learning From Metadata: Descriptive Text Improves Performance for AI Image Classification Systems

Images in the wild may not come with labels, but they often include metadata. A new training method takes advantage of this information to improve contrastive learning.
2 min read
A football player performs drills on the pitch while a computer vision system tracks and grades his movements
Classification

On the Ball: An AI-Powered App Lets Amateur Footballers Try Out for the Pros

AiSCOUT uses computer vision to grade amateur footballers and recommends those who score highest to representatives of professional teams.
2 min read
A Cadillac SUV drives through one of UVeye's Atlas arches
Classification

Auto Diagnosis: AI-Powered Inspections Arrive at Dealers for GM and Volvo

A drive-through system from UVeye automatically inspects vehicles for dents, leaks, and low tire pressure.
1 min read
Satalite Map image
Classification

Tracking Changes on Earth’s Surface

Computer vision systems are scanning satellite photos to track construction on the Earth’s surface — an exercise in behavior recognition on a global scale.
3 min read
Masked Auto-Encoder (MAE) explanation
Classification

Who Was That Masked Input?

Researchers have shown that it’s possible to train a computer vision model effectively on around 66 percent of the pixels in each training image. New work used 25 percent, saving computation and boosting performance to boot.
2 min read
Smart Phone app called Dieta
Classification

Deep Doo-Doo

People who suffer from gastrointestinal conditions such as irritable bowel syndrome are number two when it comes to describing the characteristics of their own poop.
2 min read
Illustration of group of faceless people and two people with visible faces
Classification

K-Means Clustering: Group Think

If you’re standing close to others at a party, it’s likely you have something in common. This is the idea behind using k-means clustering to split data points into groups. Whether the groups formed via human agency or some other force, this algorithm will find them.
2 min read
Man sitting on a tree with a monkey and a gorilla
Classification

Decision Trees: From Root to Leaves

What kind of beast was Aristotle? The philosopher's follower Porphyry, who lived in Syria during the third century, came up with a logical way to answer the question...
3 min read
Shifted Patch Tokenization (SPT) | Locality Self-Attention (LSA)
Classification

Less Data for Vision Transformers

Vision Transformer (ViT) outperformed convolutional neural networks in image classification, but it required more training data. New work enabled ViT and its variants to outperform other architectures with less training data.
2 min read

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