Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

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.

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 ...

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 ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

Zhu, Weiqiang, and Gregory C. Beroza. "PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method." arXiv preprint arXiv:1803.03211 (2018). Liu, Min, et al. "Rapid characterization of ...

A joint research team has developed an automated design technology that enables the creation of DNA origami structures that ...

A technology developed at the Technion enables ordinary users to create realistic video clips intuitively, without the need ...

Discover how a new technique that captures chemical arrangements across materials can improve predictions of how complex ...

As voters decide whether to make the role elected again, revisit the 1960s embezzlement case that led to the current system. A 1966 Tampa Times front page reported on the embezzlement conviction of J.