Harvard and beyond: 4 ways machine learning is making researchers more efficient

Machine learning and AI are ubiquitous these days, and people are finding all kinds of creative ways to use it in the realm of research. Here are a few ways Elsevier and our innovative collaborators are using it. Big data and machine learning platforms can also do more than fuel recommendation engines. They can become part of the scientific discourse by performing a task they're particularly suited to – scanning vast amounts of information to unearth connections that lead to new hypotheses. A pilot program between Elsevier and the Euretos AI platform aims to use these technologies to scan millions of journal articles and hundreds of databases to make connections and suggest new hypotheses for researchers to investigate.