Rethinking the role of the teacher builds on alternatives to scripted material, such as studio-style sessions, flipped problem-based work, team-based clinics, Socratic debates, in-class case simulatio ...
A new study shows that self-supervised artificial intelligence may offer a more practical path for detecting concrete cracks ...
A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...
Using six gut- and diet-derived metabolites, a machine learning model had 79% accuracy in classifying adults as having ...
Abstract: High-dimensional gene expression data pose substantial challenges for machine-learning–based diagnostic modelling due to extreme dimensionality, noise, heterogeneous measurement conditions, ...
How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has introduced Nested Learning, a ...
We developed a classifier to infer acute ischemic stroke severity from Medicare claims using the modified Rankin Scale at discharge. The classifier can be used to improve stroke outcomes research and ...
Abstract Wed136: Integration of Mechanistic Fontan Circulatory Models with Interpretable Machine Learning Classifiers Noah Schenk, BS, Alexander Egbe, MD, MPH, Brian Carlson, PhD, and Daniel Beard, ...
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