As open-weight models catch up on leaderboards and benchmark reports, one of the biggest considerations is how to manage AI ...

The engineering job market in 2026 has fractured: Amazon has slashed 30,000 roles while simultaneously launching a targeted recruitment drive for 11,000 AI and cloud engineers, and Kiewit is actively ...

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one of the nature-based and cost-effective solutions for climate change ...

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...

A freshman seminar encourages students to behave differently in the world and feel more passionately about biodiversity. Each Harvard University freshman in the “Tree” seminar must choose a single ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...

It was one Christmas visitor that didn’t overstay its welcome. A Burmese python that had been spotted in a Miami-Dade neighborhood was removed just days before Christmas after a resident out for a ...

This special report introduces small area estimation (SAE) as a modern approach for producing reliable, stand-level forest inventory information Small area estimation (SAE) is a set of statistical ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...