Abstract: In this paper, we investigate a data-driven framework to solve infinite-horizon Linear Quadratic Regulator (LQR) problems when the dynamics are partially unknown, with the additional ...

Arkansas is on track to see construction of three proposed data center projects in the next year valued at a combined $12 billion. Plans for the huge centers, which are not yet set in stone, come as ...

Lance datasets storing sparse matrix data in coordinate (COO) format achieve minimal compression compared to other columnar formats like Parquet. This results in storage sizes that are nearly ...

Abstract: Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively parallel computations using irregular data structures by ...

If you eat a snack - a meatball, say, or a marshmallow - how will it affect your blood sugar? It's a surprisingly tricky question: the body's glycemic response to different foods varies based on ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Armed with $20 million, a ...

High sparse Knowledge Graph is a key challenge to solve the Knowledge Graph Completion task. Due to the sparsity of the KGs, there are not enough first-order neighbors to learn the features of ...

Thanks to generative AI, we’re getting close to the promise of truly “democratizing” data. This means anyone can make decisions that are data-driven, not just highly skilled data scientists. Here ‘s ...