A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.

Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...

A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...

Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

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

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

Researchers from Washington and Puerto Rico found that an AI recycling system that pairs spectroscopy with deep learning ...

Researchers from King Abdullah University of Science and Technology (KAUST) have developed deepBlastoid, the first deep-learning platform ...

The optimized detection model is integrated into both a mobile application and a dedicated edge device, demonstrating that real-time waste detection can operate reliably without cloud connectivity.

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

You will be redirected to our submission process. Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...