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

Microsoft’s decision to lay off around 4,800 employees—about 2.1% of its global workforce—comes at a time when the company is reporting strong AI-led growth and investing tens of billions of dollars ...

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 ...

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 ...

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

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.

A difficulty-graded mouse brain dataset pairs 3D microscopy images with verified neuron reconstructions to support AI-driven ...

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 ...