Enables Real-Time, Zero-ETL Graph Queries on the Databricks Data Intelligence Platform Databricks Managed Iceberg Tables, launching in Public Preview at this year’s Data + AI Summit, offers full ...

Xue, Wenyuan, et al. "TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition." arXiv preprint arXiv:2106.10598 (2021). This work has been accepted for presentation at ICCV2021.

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

MIT researchers found that different algorithms can all be grouped into a ‘periodic table’ of AI. The idea for the table was an accident that emerged from identifying similarities between two ...

Purpose: This paper aims to review the literature on 12-lead ECG reconstruction, highlight various algorithmic approaches and evaluate their predictive strengths. In addition, it investigates the ...

LLMs have shown strong performance in Knowledge Graph Question Answering (KGQA) by leveraging planning and interactive strategies to query knowledge graphs. Many existing approaches rely on ...

Using an input image, the Tree-D Fusion creates a 3D tree model that can be used to simulate various stages of development. WEST LAFAYETTE, Ind. — Trees compete for space as they grow. A tree with ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

If you’ve been making the same commute for a long time, you’ve probably settled on what seems like the best route. But “best” is a slippery concept. Perhaps one day there’s an accident or road closure ...