The transformer-based semantic segmentation approaches, which divide the image into different regions by sliding windows and model the relation inside each window, have achieved outstanding success.

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

Graph databases are gaining attention as enterprises work on their next-generation artificial intelligence (AI) applications. While still a bit of an outlier, graph-oriented databases continue to find ...

Gary Comer, founder of mail order clothing retailer Lands' End, once said “Think one customer at a time and take care of each one the best way you can”. Back in the early 1960s, when data and ...

It's difficult to find value in mounds of data. At SMX Next, Murat Yatağan shared how SEOs can use data segments to build successful campaigns. Recognizing patterns is a major part of successful SEO ...

Bar graphs seem like one of the simplest ways to represent data. Many people assume that the longer the bar, the bigger the number it represents. Sometimes bar graphs represent an average not a total ...

You’re probably sick of hearing about data silos, but that doesn’t mean they don’t still exist. Data engineers toil away managing data infrastructure and building ETL pipelines into data warehouses, ...

Getting a number of vendors to talk to each other, let alone align, is no easy feat. Adding academics and researchers does not necessarily make things easier. Now try adding to the mix a fragmented ...