Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light ...

Santa Clara, California - As artificial intelligence and machine learning evolve and mature, the emergence of synthetic data ...

The integration of AI, satellite data, GIS, UAVs, and GTD marks a paradigm shift from reactive to proactive coastal ...

This project is aimed at predicting whether it will rain in different locations of Australia using machine learning. The dataset used for this project was obtained from [Kaggle] and it contains ...

How AI works through data, models, and learning. Discover how small and large AI systems process input and make intelligent ...

Salty soils are causing reduced crop density, lower yields and barren lands unable to sustain crop growth. Sea level rise, ...

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 ...

Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an ...

Abstract: We study the decentralized online regularized linear regression algorithm over random time-varying graphs. At each time step, every node runs an online estimation algorithm consisting of an ...

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European ...