Researchers in South Korea have developed the nation's first hull-attached sensor-based system for predicting underwater ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...

Rapid detection of fish calls within diverse coral reef soundscapes using a convolutional neural network. The Journal of the Acoustical Society of America, 2025; 157 (3): 1665 DOI: 10.1121/10.0035829 ...

Keywords: machine learning, explainable AI, neural additive network, dual representation, convex hull, example-based explanation, feature-based explanation Citation: Konstantinov A, Kozlov B, ...

A crucial role of IoT sensors is to extract real-time data from the field for green algae prediction. IoT is an area of recent technological development that can obtain valuable information. Therefore ...

Our method, however, minimizes over some set intermediate between the original class of functions and its convex hull, allowing us to combine the advantages of model ensembling and the star procedure.

Neural networks are the foundation of modern machine learning and AI. They are the most essential component in understanding what AI is and how it works.

Liquid AI, a new MIT spinoff, has raised nearly $40 million in a seed round to build an entirely new type of AI called a liquid neural network.