Over the past decades, computer scientists have developed many computational tools that can analyze and interpret images.

Self-supervised learning is a machine learning approach that trains on unlabeled data, extending generalizability to real-world data. While it excels at identifying objects, a task called semantic ...

FOMO is a deep learning object detection model that weighs less than 200 kilobytes.

Researchers have used virtual reality games, eye tracking and machine learning to show that differences in eye movements can be used to detect ADHD, potentially providing a tool for more precise ...

“This is an open source VS Code extension for machine learning practitioners looking to accelerate their model development experience,” said Ivan Shcheklein, co-founder and CTO of Iterative.

Scientists have identified the nature of thousands of new cosmic objects in X-ray wavelengths using machine learning techniques. Machine learning is a variant or part of artificial intelligence.

Scientists have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning algorithms to accelerate ...