White House urges researchers to use AI to analyse 29,000 coronavirus papers

By Paresh Dave SAN FRANCISCO (Reuters) - The White House's Office of Science and Technology Policy on Monday challenged researchers to use artificial intelligence technology to analyse about 29,000 scholarly articles to answer key questions about the coronavirus. The White House office said it had partnered with companies such as Microsoft Corp and Alphabet Inc's Google to compile the most extensive database of scholarly articles about the virus available to researchers

Reuters March 17, 2020 05:10:32 IST
White House urges researchers to use AI to analyse 29,000 coronavirus papers

coronavirus papers" src="https://images.firstpost.com/wp-content/uploads/reuters/03-2020/17/2020-03-16T224103Z_1_LYNXMPEG2F2ID_RTROPTP_2_HEALTH-CORONAVIRUS-USA-TRUMP.jpg" alt="White House urges researchers to use AI to analyse 29000 coronavirus papers" width="300" height="225" />

By Paresh Dave

SAN FRANCISCO (Reuters) - The White House's Office of Science and Technology Policy on Monday challenged researchers to use artificial intelligence technology to analyse about 29,000 scholarly articles to answer key questions about the coronavirus .

The White House office said it had partnered with companies such as Microsoft Corp and Alphabet Inc's Google to compile the most extensive database of scholarly articles about the virus available to researchers.

The World Health Organization (WHO) and the U.S. Centers for Disease Control and Prevention (CDC) have said they want help to better understand the origins and transmission of the coronavirus in aid of developing a vaccine and treatments. The coronavirus causes a respiratory known COVID-19 .

The hope is that computers will be able to scan the research more quickly than humans and uncover findings that humans may miss, U.S. Chief Technology Officer Michael Kratsios, who works in the White House, told reporters on a conference call.

Machine learning, a form of artificial intelligence in which software is designed to detect patterns in data on its own, is already used in healthcare and other industries to develop summaries from large amounts of text. But before it can effectively draw conclusions, machine learning software sometimes needs to analyse millions of similar content items.

Only about 13,000 of the coronavirus articles are included in the new database in their entirety in a format that makes it easy for software to analyse, Kratsios said. The database contains partial text, such as summaries, of the other 16,000 articles.

The database and researchers' submissions are being hosted on Google's Kaggle service https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge, a popular tool for organising machine learning competitions online.

Officials with the U.S. government along with American tech companies and research institutions said they rushed in the last few days to get legal permission from academic publishing companies and others to make the coronavirus papers widely available.

Microsoft Corp's chief scientific officer, Eric Horvitz, whose company's software helped curate coronavirus -related papers, told reporters the goal is to "empower scientists and empower (health) care practitioners to come to solutions more quickly."

"It's really all hands on deck for this," he said.

(Reporting by Paresh Dave; editing by Jonathan Oatis)

This story has not been edited by Firstpost staff and is generated by auto-feed.

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