Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the accurate and timely ...

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Creating a colorful flower decoration using resin is a craft activity that combines a simple flower pattern, coloring techniques, and resin casting. Australian immigrant who tackled gunman 'riddled ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.