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 ...

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 ...

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.

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 ...

One of the downsides to the recent revival and popularity of Artificial Intelligence (AI) is that we see a lot of vendors, professional services firms, and end users jumping on the AI bandwagon ...

Machine learning ... as self- and semi-supervised learning. Finally, reinforcement learning shapes a function by using a reward signal instead of examples of desired results. By maximizing this reward ...