The research, recently published in the journal ) The technology could, however, be used in the near future to tackle a long-standing problem for scientists -- how to keep up with the latest research.
“The problem of making sense of the millions of scientific papers published every year is fundamental to accelerating scientific progress,” said Niki Kittur, professor at the Human-Computer Interaction Institute at Carnegie Mellon University, who was not involved in the research.
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So far, the team has built search engines in the fields of chemistry, pharmaceuticals and materials science.
Instead of taking months to perform a literature review, Bekas hopes the technology could reduce the time frame significantly.If you want to get involved check out our volunteer opportunities or contact any member of the Re PEc team.The Arch Ec project provides long-term archiving of Re PEc templates and full-text files, with the support of the Fondation Banque de France.They host the metadata on their http or ftp site, following the Guildford Protocol, which indicates how the metadata archive should be structured.Then, the syntax of the metadata template syntax is guided by Re DIF, the Research Documents Information Format.Summarizing the findings of a complex and technical research paper into plain English is no easy feat, but a recent development by scientists at the Massachusetts Institute of Technology could change that.Using a form of artificial intelligence called a neural network, scientists at MIT and the Qatar Computing Research Institute at Hamad Bin Khalifa University have created technology that can read scientific papers and generate easy-to-read summaries that are just one or two sentences long.The technology could help scientists quickly understand where knowledge gaps lie, which he said is a new frontier in research and development.Charles Dhanaraj, executive director of the Center for Translational Research in Business at Temple University's Fox School of Business, believes AI will help improve the efficacy of research, but notes it is unrealistic to assume that AI could, for example, read 200 research papers and spit out a perfect one-page literature review.Over 90 percent of raccoons in Santa Barbara play host to this parasite." The RUM summary was easier to read than one generated using a more established technique called long short-term memory (LSTM), which looked like this: "Baylisascariasis, kills mice, has endangered the allegheny woodrat and has caused disease like blindness or severe consequences.This infection, termed ‘baylisascariasis,’ kills mice, has endangered the allegheny woodrat and has caused disease like blindness or severe consequences.