Element AI's search tool surfaces curated coronavirus studies

Element AI today released a search tool that combs through the COVID-19 Open Research Dataset, a repository of over 44,000 scholarly articles about COVID-19 and related coronaviruses, for papers potentially of use to researchers. Users can search or query natural language terms, phrases, and keywords to surface articles that contain semantically similar content, or copy paragraphs of text or questions into the search bar to return articles with only the most important sentences highlighted. A deluge of studies on the novel coronavirus, which is projected to sicken millions of people, have made their way to the web in the months since the outbreak began. They promise insights into the virus' spread, but many haven't been peer-reviewed, making it difficult for stakeholders to sort the wheat from the chaff. To this end, Element AI's tool leverages tech from the company's Knowledge Scout product, which uses AI to capture the relationships among different pieces of information, to learn and improve over time while building a repository of tacit knowledge.