Nature

Multi-camera spatiotemporal deep learning framework for real-time abnormal behavior detection in dense urban environments

The emerging density in today’s urban environments requires a strong multi-camera architecture for real-time abnormality detection and behavior analysis. Most of the existing methods tend to fail in ...
Nature

Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction

Cardiovascular disease (CVD), the leading cause of death globally, is associated with complicated underlying risk factors. We develop an artificial intelligence model to identify CVD using multimodal ...
Science Daily

Researchers use artificial intelligence to boost image quality of metalens camera

Researchers have leveraged deep learning techniques to enhance the image quality of a metalens camera. The new approach uses artificial intelligence to turn low-quality images into high-quality ones, ...
Purdue University

Purdue-related startup creates smart camera tech that could automate cars, home, security settings

WEST LAFAYETTE, Ind., and SANTA CLARA, Calif. - A startup that licenses Purdue University technology has created a deep-learning camera and hardware package that can be taught to recognize objects or ...