Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...

Photons are fast, stable, and easy to manipulate on chips, making photonic systems a promising platform for QCNNs. However, ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

Researchers at the Beckman Institute's Center for Label-free Imaging and Multiscale Biophonics found that while an artificial intelligence method called virtual staining can improve the use of medical ...

The future of computing has arrived in a flash, literally. In A Nutshell Researchers created a computer that performs complex ...

Artificial intelligence has exploded in popularity in recent years, and many proponents are excited about its potential uses in medicine: for example, processing samples quickly or identifying markers ...

Inflammatory bowel disease requires close monitoring to detect flare-ups early and guide treatment.1,2 While endoscopy is the ...

By studying the theoretical limits of how light can be used to perform computation, Cornell researchers have uncovered new ...

Artificial intelligence (AI) is set to transform the care of women with cancer. From early detection via digital phenotyping ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...