Researchers from the USC Viterbi School of Engineering are presenting 24 papers at the 2025 International Conference on Learning Representations (ICLR), Apr. 24-28, one of the premier global ...

MIT researchers have recently unveiled an innovative framework that organizes artificial intelligence (AI) algorithms in a ...

MIT researchers found that different algorithms can all be grouped into a ‘periodic table’ of AI. The idea for the table was ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

A high-performance library for graph algorithms written in Java. It contains a wide collection of optimized algorithms and data structures for a range of problems on graphs.

Abstract: By leveraging geometric and probabilistic information contained in multipath components (MPCs), multipath-based simultaneous ... it using a factor graph, which serves as the foundation for ...

Here, we showcase how our graph neural network (GNN)-based implicit solvent ... in line with a chemist’s intuition and going beyond a solvent classification based solely on dielectric permittivity.

Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, Connecticut 06269, United States Center for Clean Energy Engineering, University of Connecticut, Storrs, ...

A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography Official repository for "Interpretable Machine Learning Approach for Breast Cancer Classification" - ...