White House orders researchers to analyze nearly 30,000 papers with AI to study new coronavirus

March 17 (UPI) — The White House Office of Science and Technology Policy on Monday called on researchers to use artificial intelligence technology to analyze some 29,000 academic papers to better interpret some of the important issues of the new coronavirus,media reported. The White House office said it had partnered with companies such as Microsoft and Alphabet to compile the largest database of new coronavirus academic papers for researchers to use.

White House orders researchers to analyze nearly 30,000 papers with AI to study new coronavirus

The World Health Organization (WHO) and the U.S. Centers for Disease Control and Prevention (CDC) say they want to help the medical community better understand the origin and spread of the new coronavirus to help develop vaccines and treatments.

Michael Claxios, the Chief Technology Officer for the White House, told reporters on a conference call that they hope computers will be able to scan the results faster than humans and find out what humans might miss.

Machine learning technology is currently used by healthcare and other industries to extract abstracts from a large amount of text. But before you can effectively draw conclusions, machine learning software sometimes needs to analyze millions of similar content items.

The current database for software analysis of the format of the full inclusion of the new coronavirus article, only about 13,000. The database also contains partial text (such as summaries) of 16,000 other articles.

U.S. government officials and U.S. technology companies and research institutions say they have stepped up efforts in the past few days to obtain legal permission from academic publishing companies and other institutions to make public papers on the new coronavirus.

Eric Horvitz, Microsoft’s chief scientific officer, whose software helped organize papers related to the new coronavirus, told reporters that its goal is to enable scientists and health practitioners to find solutions faster.