Retinal detachments can be diagnosed using a deep learning-powered fundus imaging system, offering expertise to screening sites.

Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

MSCI Inc. (NYSE: MSCI) announced today the launch of a consultation on a proposal for the potential reclassification of Greece from Emerging Market status to Developed Market status in one step, with ...

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...