A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Severe weather events, such as heavy rainfall, are on the rise worldwide. Reliable assessments of these events can save lives ...

Two new open-source tools are set to make fluorescence lifetime imaging microscopy—or FLIM—faster, simpler and more ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

Owing to the effectiveness in selectively focusing on regions of interest of images, the attention mechanism has been widely used in image caption task, which can provide more accurate image ...

In this article, we propose a deep network for infrared and visible image fusion cascading a feature learning module with a fusion learning mechanism. Firstly, we apply a coarse-to-fine deep ...