Categories: AI/ML News

Chain-of-Zoom framework enables extreme super-resolution zoom without retraining

A trio of AI researchers at KAIST AI, in Korea, has developed what they call a Chain-of-Zoom framework that allows the generation of extreme super-resolution imagery using existing super-resolution models without the need for retraining.

What is AI super resolution? How it improves video images

September 14, 2022

In "AI/ML News"

Self-supervised machine learning adapts to new tasks without retraining

The field of machine learning is traditionally divided into two main categories: "supervised" and "unsupervised" learning. In supervised learning, algorithms are trained on labeled data, where each input is paired with its corresponding output, providing the algorithm with clear guidance. In contrast, unsupervised learning relies solely on input data, requiring…

December 24, 2024

In "AI/ML News"

AI-designed structured material creates super-resolution images using a low-resolution display

One of the promising technologies being developed for next-generation augmented/virtual reality (AR/VR) systems is holographic image displays that use coherent light illumination to emulate the 3D optical waves representing, for example, the objects within a scene. These holographic image displays can potentially simplify the optical setup of a wearable display,…

December 6, 2022

In "AI/ML News"

AI Generated Robotic Content