As someone who has built market data systems, I can attest to the quantifiable cost of data discrepancy. This same principle can be applied to any organization's knowledge assets. At a previous ...

With an ever increasing volume of available information, how can one keep up and make use of it? Information simply has to be accessible – gathering, managing and utilizing information is an ...

Last year, we identified blockchain, cloud, open-source, artificial intelligence, and knowledge graphs as the five key technological drivers for the 2020s. Although we did not anticipate the kind of ...

The world today is gripped by a technological revolution with no historical parallel. Artificial intelligence increasingly determines how governments anticipate national risks, how businesses optimise ...

Knowledge representation and reasoning in logic programming constitute a core area of artificial intelligence that formalises how information is symbolically encoded and manipulated. This field ...

The boom in "generative" artificial intelligence may usher in the "next productivity frontier" in the workplace, but it could also cause job losses and disruption for some knowledge-based workers such ...

In the Cognitive Age, learning is taking a radical departure from the static traditions of the past. Think of the old book source of intelligence—rows of dust-laden shelves filled with ideas confined ...

A study published Tuesday provides a newly-developed way to measure whether an AI model contains potentially hazardous knowledge, along with a technique for removing the knowledge from an AI system ...

Large language models (LLMs) have demonstrated remarkable capabilities in natural language processing (NLP) tasks, yet they face significant challenges when applied to educational contexts. This paper ...