The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...

A deceptively simple question underlies many global environmental policies: where, exactly, are the world’s forests? A new study suggests the answer depends heavily on which map one consults—and that ...

A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

Two researchers advocate for new AI-based measures not because they offer measurement free from error, but rather because they avoid specific problematic forms of error linked to overreliance on ...

Hypermobile Ehlers–Danlos syndrome (hEDS) is one of the most common heritable connective tissue disorders. Early estimates have reported that this genetic disorder affects at least one in 5,000 ...

Brazilian researchers have developed a methodology that uses remote sensing to map the impact of frost on corn crops. This reduces exposure to climate risks and uncertainty regarding agricultural ...

Greater adherence to healthful plant-based dietary patterns was associated with lower breast cancer incidence and reduced all ...

A recent review concluded that artificial intelligence (AI) is rapidly transforming the diagnosis and treatment of haematological malignancies by enhancing diagnostic accuracy and ...

Tool uses remote sensing to reduce uncertainties regarding agricultural losses, contributing to public policy.

Social mammals are wildly diverse, given that they can be found across all habitats and species. However, a new line of ...