Westinghouse Electric has announced a partnership with Google Cloud to deploy AI for nuclear reactor construction and operations.

To address these challenges, we propose a Noise-Consistent hypeRgraph AutoEncoder framework with denoising strategies, termed NCRAE, aimed at achieving robust node embeddings in ceRNA regulatory ...

AWS is teaming up with Lawrence Livermore National Laboratory --- home to the world's only facility to achieve fusion ignition --- to develop AI tools.

In this paper, a novel method for tracker fusion is proposed and evaluated for vision-based object tracking. This work combines three distinct popular techniques into a recursive Bayesian estimation ...

Sensor fusion is becoming increasingly popular and more complex in automotive designs, integrating multiple types of sensors into a single chip or package and intelligently routing data to wherever it ...

To test this, we developed a compositional autoencoder (CAE) that decomposes high-dimensional data into distinct genotype-specific and environment-specific latent features. Our CAE framework employed ...

Keywords: microbe–disease associations, network similarities, similarity fusion, inductive matrix completion, graph autoencoder Citation: Shi K, Huang K, Li L, Liu Q, Zhang Y and Zheng H (2024) ...

What exactly is “real-time”? This article looks at its permutations and offers insight into time-critical sensor data fusion and its role in database systems.