Understanding causality of gravity and spacetime

Can computational creativity help us to better understand science?

In the past, many expert system projects failed because of the manual and rigid nature of knowledge engineering that requires human input of symbol definitions, rules, context and semantics, making it restrictive, costly, and impractical.

SiteFocus has innovated a different approach that enable the software to adept complexity with symbolic logic automatically. The product is ELAINE. It may well be the future direction of computational creativity. It does not require pre-learning or definition of symbols, dictionary, theme, ontology etc., instead, it discovers uncertainties, doubts, nexus and rationale on its own and is domain agnostic. From natural language narratives, it discovers the context, semantics, and symbols, and in the process making sense with the underlying narrative.

Example: What can we learn about GRAVITY from a Wikipedia page?

We input the Gravity Wikipedia html (en.wikipedia.org/wiki/Talk:Gravity) into ELAINE. Without any human input or intervention, it took ELAINE seconds to put it into perspective, and it makes science sense.

"Gravity is most accurately described by the general theory of relativity (proposed by Albert Einstein in 1915), which describes gravity not as a force, but as a consequence of masses moving along geodesic lines in a curved spacetime caused by the uneven distribution of mass."

ELAINE transforms any document into structured knowledge - enables managers and executives to think with clarity faster, smarter and make better decisions by leveraging logical thinking of others, especially experts in the domain of discourse.

ELAINE is build with pure JAVA, and does not require GPU or special hardware.

To learn how ELAINE can help in getting the relevant information from your internal WIKI,
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If you are interested to experience with ELAINE, Click here to learn more