Graph Machine Learning provides a new set of tools for processing network ... simulations using high-performance facilities and large-scale computing centers for over 10 years, both in an academic and ...

Researchers are developing a way to incorporate one of the most human of characteristics -- uncertainty -- into machine learning systems. Researchers are developing a way to incorporate one of the ...

This means that the apparent advantage over the older ... With industries increasingly adopting machine learning, it seems likely that knowledge graph technology will also evolve hand-in-hand.

Researchers have used machine learning to perform error correction for quantum computers -- a crucial step for making these devices practical -- using an autonomous ...

The paper elaborates on a technique for using knowledge graphs with machine learning; specifically ... like to enable machines to answer questions over multi-modal information, which include ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following ...

Case in point: A series of recent funding rounds, culminating in Neo4j's $325 million Series F funding round, brought its valuation to over ... and machine learning features. Developing graph ...