MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

Montana State doctoral student Morgan Hasenmyer receives a 2026 SPIE Women in Optics Scholarship for her research on ...

The ocean regulates Earth’s climate, supports immense biodiversity and sustains billions of livelihoods, yet it remains under-sampled across many regions ...

Abstract: Medical datasets are usually imbalanced, where negative cases severely outnumber positive cases. Therefore, it is essential to deal with this data skew problem when training machine learning ...

Food shopping abroad can turn even the most reluctant cook into a chef, and elevate a weeknight dinner to a gourmet ...

A new Quantum Monte Carlo algorithm in Physical Review Letters marks a significant step forward in the quest to build ...

Introduction Antimicrobial stewardship efforts in low- and middle-income countries (LMICs) largely focus on qualified ...

Abstract: Coordinate measuring machines are widely used in the precision measurement of manufacturing workpieces. However, the nature of a point-by-point probing characteristic limits their efficiency ...