Computer Vision

7 Posts

Flowcharts show how a new contrastive learning approach uses metadata to improve AI image classifiers
Computer Vision

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.
A football player performs drills on the pitch while a computer vision system tracks and grades his movements
Computer Vision

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.
A Cadillac SUV drives through one of UVeye's Atlas arches
Computer Vision

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.
Masked Auto-Encoder (MAE) explanation
Computer Vision

Who Was That Masked Input? Pretraining Method Improves Computer Vision Performance

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.
AI system recognizes normal chest x-rays
Computer Vision

AI Enters the Radiology Department: ChestLink, an AI X-Ray Tool Approved by European Officials

The European Union approved for clinical use an AI system that recognizes normal chest X-rays. ChestLink is the first autonomous computer vision system to earn the European Economic Area’s CE mark for medical devices...
AI Research SuperCluster (RSC)
Computer Vision

New Supercomputer on the Block: All about Meta's AI Research Supercluster.

Facebook’s parent company is staking its future on a new compute cluster. Meta unveiled AI Research SuperCluster (RSC), which is designed to accelerate training of large models for applications like computer vision, natural language processing, and speech recognition.
Books on the floor
Computer Vision

How to Learn Machine Learning

Want to become an AI practitioner? Here’s a program that will take you from beginner to job-ready. You may already have a head start, depending on your background. For a motivated person who starts with a solid high-school education it may take around two years.

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