In the late 1990s, Garry Kasparov, one of the greatest chess grandmasters of all time, lost to IBM's Deep Blue. It was a defining moment that signalled the beginning of an era where machines could ...

Knowledge graphs are driving industry disruption and business transformation by bringing together previously disparate data, using connections for decision support, and adding context to AI ...

The purpose of knowledge management is to harness, develop and direct the expertise of the organisation and to apply it effectively to achieve strategic objectives. Its purpose is also to encourage ...

Applying machine learning methods to structured, expert-curated content from scientific literature is a powerful way to discover latent knowledge. Building on the QIAGEN Knowledge Base, we use this ...

Glenn Withers receives funding from the Australian Council of Learned Academies and the Australian Research Council. He was chair of the Expert Working Group for Australia’s Comparative Advantage, a ...

For observations based on sensory data, the human brain must constantly verify which "version" of reality underlies the perception. The answer is gleaned from probability distributions that are stored ...

November 17, 2012Dear Sir,Having the knowledge is to no avail if we do not apply it or apply it incorrectly. As a matter of fact, to have positive knowledge and not apply it is rather selfish and ...

The present article describes the application of a theory-based framework to understand current public knowledge of genetic risk factors of multifactorial diseases. The main innovative aspect is the ...