Blind and low-vision programmers have long been locked out of three-dimensional modeling software, which depends on sighted ...

Abstract: The rapid growth of Deep Learning techniques plays a vital role in automation of manual work in various areas. One such area for application of new technology is that of Construction Worker ...

In this tutorial, we describe the iterative, data-based development and evaluation of an intersectionality-informed large language model designed to support patient teaching in this population.

Abstract: Object detection is a fundamental task in computer vision, involving the prediction of bounding boxes and class labels for Regions of Interest (ROI) within images. Traditionally, ...

When Donald Trump published an August 12 letter addressed to the secretary of the Smithsonian Institution, informing him of “a comprehensive internal review” of the shows and explanatory materials at ...

dots.ocr is a powerful, multilingual document parser that unifies layout detection and content recognition within a single vision-language model while maintaining good reading order. Despite its ...

It is a little difficult for me to figure out the three training process of the world model. What the process it takes? Can you provide any demo or detailed document that shows the three training ...

The Palestinian Authority says it has completed the establishment of a new welfare program and finished phasing out a previous system that critics claimed ...