Daimler Truck uses graph technology to untangle its IT estate and gains long-lasting operational windfall - SiliconANGLE ...
For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake ...
In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...
Learn how to create burndown charts to track project progress, improve team performance, and download free templates to get ...
Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data
DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
PayPal today announced the launch of PayPal's Transaction Graph Insights & Measurement program, providing merchants & advertisers with a unique, cross-merchant view into real shopper behavior, ...
As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.
Euronet Worldwide has been operating ATMs internationally for around three decades, and currently generates 37% margins from ...
Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...
Deep Learning Methods, GNN Model, Community Service Work, China and USA, Neural Networks Share and Cite: Liu, J. (2026) A Comparative Study of Community Service Work Based on Deep Learning. Open ...
Almost three years ago, in one of my first posts on Graphs about Religion, I ran an article with the headline: Young Mormons ...
Large language models accelerate construction of materials property databases.TSUKUBA, Japan, Jan 8, 2026 - (ACN Newswire) - Technologies that underpin modern society, such as smartphones and automobi ...
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