AI

Increasing the number of parameters in ML training datasets improves the outcomes. Studies have shown that scaling…

A team of scientists at Incheon National University in South Korea has designed a cooperative infrastructure for artificial…

Text-to-image synthesis algorithms, such as DALL-E, have demonstrated an extraordinary capacity to turn an input…

Most machine learning methods assume that each misclassification mistake a model makes is of equal severity. This is…

Advances in deep learning algorithms have resulted in an exponential increase in research on land vehicle autonomy…

The development of phase-based techniques has accelerated the pace of X-ray imaging. Dark-field images are sensitive…

3D reconstruction is a fundamental problem in computer vision. The goal is to infer the true geometry of an object…

There is evidence that neural networks rely on comparable characteristics for categorization across designs and…

A team of researchers at Los Alamos National Laboratory has developed a novel approach for comparing neural networks. According to…

The capacity of human vision to interpret 3D shapes from the 2D images we see is a crucial feature. It has been a…