Scientists are drowning in Covid-19 research -- this AI could help

Scientists are working day and night to fight against Covid-19, which is a blessing and a curse. With different research being done all around the world, it's difficult to know which solutions deserve their time, money, and resources. Trying to speed the process along, scientists are forgoing the time-tested "peer review" model of printing findings in favor of so-called open science, which risks accuracy. It's a classic problem of trying to find the needle in the haystack, except the hay is coming from everyone and everywhere on Earth. Using a machine-learning algorithm trained on thousands of multidisciplinary research papers, a team of computer scientists and sociologists from Northwestern University have developed a scalable method to help scientists identify the most promising solutions for this global problem.