"AI can be used to help researchers understand vast volumes of information. She says AI is able to look through all the text in the literature Elsevier holds: "AI can bubble up concepts and link together different articles." Without AI's help, this would normally take a human hours and hours and may even be impossible for someone to do."
"According to Luber, AI gives researchers the ability to dig through the content, understanding information it contains, finding connections and surfacing existing concepts. Just as significant, Luber says it also reveals what she calls "white space", the information that is not covered in the research papers."
"Before AI, researchers used keyword searches to surface relevant pieces of research, as Luber explains: "Within the digital world, we did have very strong search algorithms that we could index entire sets of data. You would type in keywords for concepts you're looking for and the search engine would look across all of the literature based on those keywords and then surface up the information, as a list of hits.""
"AI provides researchers with the ability to move beyond keyword searches and instead search whole concepts and neighboring concepts, not just keywords. This helps researchers identify the veracity of any research articles surfaced by the AI engine. "What's really important in science is reproducibility. We have the ability now to look through all our conten""
Elsevier, an academic publisher, has faced major technological shifts from printing to digital web content and now artificial intelligence. AI can analyze the full text of the publisher’s literature to bubble up concepts and link related articles, reducing the time and effort required for humans to synthesize large volumes of information. AI enables researchers to search by whole concepts and neighboring concepts rather than only keywords. The tools can surface “white space,” meaning areas not covered in existing papers. AI also supports assessing research veracity by emphasizing reproducibility, helping determine whether findings can be reliably repeated.
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