Abstract: Large-scale industrial processes are characterized by complex reaction mechanisms and strong correlation among operational units, which makes it more difficult to extract the temporal ...

A new artificial intelligence system is drawing renewed attention to one of paleontology’s oldest controversies. At the ...

Dinosaur skeletons often dominate museum halls, from the towering Tyrannosaurus rex known as Sue in Chicago to Sophie the Stegosaurus in London. These fossils shape how you picture dinosaurs.

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Researchers have developed a novel deep-learning architecture that generates high-quality synthetic images of rare land covers to eliminate bias and drastically improve the accuracy of environmental ...

Columbia Engineers have created a robot capable of mimicking and learning human lip movements during speech. The upgraded design combines advanced robotics with AI, enabling the device—named Emo—to ...

ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...

Additional visualizations highlighting the comparison between the proposed two-stage AG-VQ-VAE network (without skip connections) and the single-stage AG-UNet (with skip connections) are presented.

We showcase a novel unsupervised learning method with a Convolutional Variational Autoencoder (CVAE) model that can automatically classify and cluster different types ...