Quantum Computing Advances Universal Functional Derivation With Neural Network And Embedding Methods
The challenge of accurately simulating the behaviour of interacting particles lies at the heart of many problems in physics and...
Learning methods
How to co-design learning and assessments with students and GenAI
For years, educators have framed curriculum development as an expert-led process: academics map outcomes, choose materials and craft assessments, and...
Machine Learning Struggles to Predict Antimicrobial Resistance
Credit: designer491/Getty Images Sampling biases driven by the structure of bacterial populations dramatically affect the ability of machine learning (ML)...
Machine Learning Drives Scalable Hierarchical Virus Classification
In a groundbreaking advance for virology and bioinformatics, researchers have unveiled vConTACT3, a next-generation machine learning tool designed to revolutionize...
Deep learning-driven conversion of scanning superlens microscopy to high depth-of-field SEM-like imaging
Description of microsphere-based SSUM utilizing deep learningIn microsphere-based SSUM, the diameter of microspheres determines their focal length, directly influencing the...
Strategic approaches optimize teaching and learning in the clinic | Ophthalmology Times
The landscape of graduate medical education in ophthalmology is evolving with the integration of new teaching technologies, innovative learning methods,...
