Across industries, recommendation systems are evolving from pointwise architectures (focusing on per user activity) toward generative sequential architectures (building on a user's past activity ...

Virological plaque assays are the primary method for quantifying infectious particles in a suspension, achieved by incubating a serial dilution of the virus with a monolayer of indicator cells.

The train_classifier.py script is used to train an image classifier. It was used to create the CHiMP Classifier-v2 model by fine-tuning a pre-trained ConvNeXt-Tiny CNN first on the MARCO Dataset of ...

Semi joins and anti joins are common operations in data manipulation, especially in SQL. While they are not directly supported by most database engines as standalone operations, they can be ...

Reservoir computing (RC) has been considered as one of the key computational principles beyond von-Neumann computing. Magnetic skyrmions, topological particle-like spin textures in magnetic films are ...

Random Forests (RFs) are among the most successful machine-learning algorithms in terms of prediction accuracy. In many domain problems, however, the primary goal is not prediction, but to understand ...

Increasingly, neuroimaging researchers are exploring the use of real-time functional magnetic resonance imaging (rt-fMRI) as a way to access a participant’s ongoing brain function throughout a scan.

Terrestrial time-lapse photogrammetry is a rapidly growing method for deriving measurements from glacial environments because it provides high spatio-temporal resolution records of change. Currently, ...