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 ...

What we know makes little difference in our lives. What we do with what we know has life-changing consequences. “I have been impressed with the urgency of doing. Knowing is not enough; we must apply.

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 ...

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 ...

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 ...