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Humanist Archives: July 15, 2019, 5:35 p.m. Humanist 33.139 - discovering what we have missed

                  Humanist Discussion Group, Vol. 33, No. 139.
            Department of Digital Humanities, King's College London
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        Date: 2019-07-14 15:19:51+00:00
        From: Bill Benzon 
        Subject: AI Trained on Old Scientific Papers Makes Discoveries Humans Missed - VICE

Willard -- AI 'reads' old scientific papers and makes connections humans

> Using just the language in millions of old scientific papers, a
> machine-learning algorithm was able to make completely new scientific
> discoveries. In a study published in Nature
> (https://www.nature.com/articles/s41586-019-1335-8) on July 3,
> researchers from the Lawrence Berkeley National Laboratory used an
> algorithm called Word2Vec sift through scientific papers for
> connections humans had missed. Their algorithm then spit out
> predictions for possible thermoelectric materials, which convert heat
> to energy and are used in many heating and cooling applications. The
> algorithm didn't know the definition of thermoelectric, though. It
> received no training in materials science. Using only word
> associations, the algorithm was able to provide candidates for future
> thermoelectric materials, some of which may be better than those we
> currently use. 'It can read any paper on material science, so can
> make connections that no scientists could,' researcher Anubhav Jain
> said. 'Sometimes it does what a researcher would do; other times it
> makes these cross-discipline associations. ' 
> (https://www.vice.com/en_us/article/neagpb/ai-trained-on-old-scientific-papers-
> makes-discoveries-humans-
> missed?fbclid=IwAR3-mLKTDrhI4T0WXe3GL_CbJmFiDxyC20Tdk95fia4WrXJb279DYIQy-4s)

Bill Benzon



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