For retailers and investors, the message is that consumers are still in the game—they’re just demanding a clearer value ...

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

A team of archaeologists from the Universitat Jaume I, the University of Barcelona, and the Catalan Institution for Research and Advanced Studies (ICREA) has developed a new methodology that allows ...

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 ...

Price pressure has become less dominant, but concerns about job security are rising ...labor expectations matter more ...

Mass General Brigham investigators have developed a robust new artificial intelligence (AI) foundation model that is capable ...

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

Algorithmic trading is also referred as black-box trading, automated trading, or algo-trading. It is a method that uses a computer program that follows a defined set of instructions or an algorithm to ...

Quantitative and qualitative approaches face different challenges and expectations, particularly when it comes to data ...

Traditional fault detection and diagnosis (FDD) pipelines often depend on handcrafted features, narrow domain models, and ...