Also: Google Next 2018: A deeper dive on AI and machine learning advances The paper explicitly draws upon work for more than a decade now on "graph neural networks." It also echoes some of the ...

With industries increasingly adopting machine learning, it seems likely that knowledge graph technology will also evolve hand-in-hand. As well as being a useful format for feeding training data to ...

The paper elaborates on a technique for using knowledge graphs with machine learning; specifically, a branch of machine learning called reinforcement learning. This is something that holds great ...

Machine learning, a subset of AI ... of successful real-world integrations of blockchain and AI involves The Graph, a decentralized system that allows users to index and query blockchain data.

Using Knowledge Graphs for Ultimate Business Knowledge Data and key business information can continuously be extracted with the help of specialized AI techniques and machine learning models. However, ...

Some of the most well-known examples of the use of machine learning technics ... advantage for HPC-AI convergence HPC-AI convergence is also often seen via the use of HPC knowledge to strengthen AI.

Scientist Yi Nian is sharing his machine-learning expertise with the world in his latest co-authored publication, “Globally Interpretable Graph Learning via Distribution Matching.” SEATTLE ...

Bringing knowledge graph and machine learning technology together can improve the accuracy of the outcomes and augment the potential of machine learning approaches. With knowledge graphs, AI language ...