Scientists from the federally funded Argonne National Laboratory in Illinois and the University of Virginia have developed a new approach for detecting defects in metal parts produced by 3D printing.

Using a standard webcam and advanced tracking, it offers a scalable solution for real-world use, with MediaPipe tracking 21 keypoints on each hand and YOLOv11 classifying ASL letters precisely.

We propose a general model Weak Cube R-CNN, which can predict objects in 3D at inference time, requiring only 2D box annotations for training by exploiting the relationship between 2D projections of ...

WATS-3D has been shown to increase detection of dysplasia in patients with BE undergoing surveillance for BE, but less is known about the value of WATS-3D for BE screening in a community-based ...

Michael Do and Hieu Tran developed an app, called “Signify.” It uses artificial intelligence to recognize ASL hand patterns and show English on a screen instantly.

In this paper, we propose an end-to-end hybrid classical-quantum convolutional neural network (CQ-CNN) for AD detection using clinically formatted 3D MRI data. Our approach involves developing a ...

Nvidia launched a language learning platform using artificial intelligence that promises to do just that for American Sign Language learners, in partnership with the American Society for Deaf ...

The ASL-learning platform is also a reminder that Nvidia has been trying to branch out into more than just the hardware behind AI. Nvidia has become a major supplier to the AI industry by building ...