While artificial intelligence (AI) models have proved useful in some areas of science, like predicting 3D protein structures, ...

The research paper, on which he is the only student author, won the Best Paper Award, the highest honor given at the world’s ...

They found that students assigned to teachers who used more mathematical vocabulary in their lessons made greater progress ...

Some kids plan to kill. Can we discover who they are before they do? A program that combines neural and clinical data via ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

In intensive care units, some patients who appear unconscious occupy a gray zone in their relationship to the world. To ...

Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Multiple video vendors and safety experts noted thatAI is becoming an increasingly used tool to detect safety incidents.

Abstract: In this paper, we address the important problem of student academic performance prediction, with an emphasis on improving the learning process for lowering failure rates. This research has ...

Background: The purpose of this study is to use a variety of machine learning (ML) algorithms to build a risk prediction model for nursing students’ social anxiety, select the optimal model, and ...