Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

A lack of proper training has remained one of the bigger sticking points for employers adopting AI technology.

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

DOL released the AI Literacy Framework to guide AI skill development efforts, outlining key content areas and delivery principles.

Design an explicit, three-part learning sequence: The learning sequence starts with a pre-visit phase, followed by an outdoor visit phase, followed by a post-visit phase. Each part of the sequence ...

Reimagining education to cultivate curiosity, questioning, dialogue and critical thinking can develop students’ lifelong learning disposition and capacity for participation in a democratic society.

Finely dispersed particulate matter with a diameter of ≤2.5 μm (PM2.5) poses a significant health- and climate-risk, yet ...

Schema fit enables hard ideas to click, learn assimilation vs accommodation and use pattern testing to understand faster ...

A new artificial intelligence framework developed at Cornell can accurately predict the performance of battery electrolytes while revealing the ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.