Semantics = theory of meaning, yet most define semantic search with a focus on intent. “Meaning” is not the same as “intention.” Learn more. Since 2013, Google has been gradually developing into a 100 ...

For simple user queries, a search engine can reliably find the correct content using keyword matching alone. A “red toaster” query pulls up all of the products with “toaster” in the title or ...

In artificial intelligence, “semantics” refers to a machine’s ability to smartly segment information similar to how a human would. Different branches of machine learning may have different uses for ...

Have you ever searched for something online, only to feel frustrated when the results didn’t quite match what you had in mind? Maybe you were looking for an image similar to one you had, or trying to ...

The increased use of language understanding in search engines has prioritized writing content that is organized by topics and subtopics and communicates the message in a way that lacks ambiguity.

Sometimes, you can enter into a technology too early. The groundwork for semantics was laid down in the late 1990s and early 2000s, with Tim Berners-Lee's stellar Semantic Web article, debuting in ...

When data is productized and semantics encoded, you unlock agentic AI at scale. Instead of assistants, you get executors: ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.