At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely ...

When was the last time you sat down and tried to learn something? How did you approach it? Did you make flashcards for ...

In school, I recall creating numerous spider diagrams during lessons. You’d put your subject in the middle and branch out with related concepts. But I rarely returned to these diagrams, and when I did ...

Temporary anxiety impacts learning Date: April 25, 2025 Source: University of Rochester Medical Center Summary: Researchers found that a brief episode of anxiety may have a bigger influence on a ...

Scientific machine learning and physics-informed neural networks are novel conceptual approaches that integrate scientific knowledge with methods from data science and deep learning. This emerging ...

Effective learning involves periodically retrieving information from memory and varying the methods and cues used for memorization. A study published in PNAS found that learning foreign words in ...

Diagram question answering (DQA), which is defined as answering natural language questions according to the visual diagram context, has attracted attention and has recently become a new benchmark for ...

Machine learning, a type of artificial intelligence, has many applications in science, from finding gravitational lenses in the distant universe to predicting virus evolution. Hubble Space Telescope ...

What Happens When a 48K-Student District Commits to the ‘Science of Learning’ In Frederick County, Maryland, test scores rose, achievement gaps shrank and even veteran educators slowly embraced the ...