In a world flooded with information and predictions — from sports scores to political forecasts — a quiet revolution is ...

AI from Texas A&M predicts tornado damage in under an hour, improving disaster response and long-term recovery planning.

As virtual and hybrid events continue to reshape the industry landscape, event apps are becoming essential tools in facilitating seamless user experiences across both physical and digital environments ...

Analyst ratings serve as essential indicators of stock performance, provided by experts in banking and financial systems. These specialists diligently analyze company financial statements ...

Therefore, this paper proposes a novel ensemble deep learning disease prediction method that combines unsupervised and supervised learning paradigms. First, unsupervised deep learning methods are used ...

Detailed long-term sampling of pesticide concentrations, including rainfall and pesticide application events, is still lacking to better predict pesticide transport pathways and toxicity within ...

Businesses that have embraced an event-driven integration strategy are able to simulate the effect of policy changes as they occur and support supply chain changes as soon as they need to be applied.

Both qualitative and quantitative assessments were conducted. By inputting the original CT images into the deep learning models, we obtained the segmentation results (predictions) for each target. For ...

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...

The stock is currently trading at 23 times earnings, so investors can buy it at a discount when compared to the broader index. Moreover, the faster growth in Meta's earnings could lead the market ...