The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Christmas tree farms around the world are increasingly turning to drones, artificial intelligence (AI), satellite imaging, ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

AIQuant Labs has launched DexTrader.ai, a machine learning-powered investment platform designed to bring institutional-grade ...

Pests that spread as a result of climate change pose an increasing threat to fruit farming and viticulture in Germany. Fraunhofer researchers are working with partners to develop methods for the early ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

Confidential complaints filed by troops and their families reveal patterns of wrongdoing in the ranks that are hidden from ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

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 ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on massive datasets, increased the number of parameters, and threw immense ...