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

MIT researchers have created a periodic table that orders AI algorithms based on the properties they share with a mathematical framework known as information contrastive learning ...

Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an artificial intelligence (AI) algorithm to quickly and more specifically identify ...

Repo containing project files for "Advanced Statistical Learning for Complex Data" course taken during academic year 2023-2024 of PhD in DADS at Politecnico di Milano.

More recent methods based on deep learning have utilized sequence and graph models for LncRNA classification ... We have evaluated the performance of the gShapeLnoc algorithm on a real dataset, and ...

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

In this study, a deep learning-based optimization model, VisionNet_Taylor Hiking Optimization Algorithm ... The nodes in the graph are signified as detected objects and the detected action is ...

The envisaged algorithms are numerical solvers based on graph structures. In this article, we focus on kinematics and dynamics algorithms, but examples such as message passing on probabilistic ...

Neural Network Compression Framework (NNCF) provides a suite of post-training and training-time algorithms for optimizing inference of neural networks in OpenVINO™ with a minimal accuracy drop. NNCF ...