Introduction Demographic change is resulting in a growing number of individuals requiring nursing care, while the ...

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...

Tempe, Arizona - January 15, 2026 - PRESSADVANTAGE - Tonys Picks, a California company, announced today the integration ...

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

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...

The AI revolution has transformed behavioral and cognitive research through unprecedented data volume, velocity, and variety (e.g., neural imaging, ...

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 ...

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 ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

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

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

The NFL is no stranger to innovation. Over the years, teams have adopted new strategies, technologies, and data-driven ...