Doctors at central Ohio’s major hospital systems say artificial intelligence is helping them see more than they could before.

Abstract: This research study introduces a unique method that makes use of a wide range of deep learning (DL) techniques for automated flaw identification in solar cell images. The research paper ...

Endoscopy-based deep learning algorithms achieve higher sensitivity, specificity, and overall diagnostic accuracy than endoscopists for early ESCC detection.

Abstract: Time-resolved particle image velocimetry (TR-PIV) is an advanced fluid mechanics experiment technology, which can simultaneously measure the velocity field from multi-frame images to analyze ...

Apart from the awards, Day 2 at Cannes Lions witnessed creative brainstorming sessions and closed-door business strategy ...

A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.

Using AI and Australia's supercomputing infrastructure, researchers mapped 94 million craters on Mars, transforming planetary ...

For further introductions to transfer learning in bearing fault diagnosis, please read our paper. And if you find this repository useful and use it in your works, please cite our paper, thank you~: ...

*New: An extension to 38-Cloud dataset is released at here. This dataset contains 38 Landsat 8 scene images and their manually extracted pixel-level ground truths for cloud detection. 38-Cloud dataset ...

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...

Semiconductors are central to modern technology. They are used in computer chips, solar cells, sensors, LEDs and ...