As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

What is Graph Technology and What Can it do for Financial Institutions? Graph technology has been a cornerstone of mathematics for centuries, and its application in financial institutions and fintechs ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now As enterprises continue to double down on ...

When Daimler Truck Holding AG began the long and complex process of separating from Mercedes-Benz Group AG in 2021, it faced a daunting problem. Decades of tightly interwoven information technology ...

The advent of graph database technology accommodates for the plethora of nuance that an enterprise’s proprietary data represents. However, graph technology continues to evolve, leaving legacy graph ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

SHENZHEN, China, Jan. 5, 2026 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology ...

Hardly a week goes by without a breakthrough in LLMs (large language models). They're cheaper to train and getting smarter, so why bother with their little sibling SLMs (small language models)? For ...

As enterprises continue to double down on AI and analytics, data infrastructure vendors are doing everything they can to lower the adoption barriers to their products and deliver maximum ROI to teams ...