They collected 3.3 million abstracts of published materials science papers and fed them into an algorithm called Word2vec. By analyzing relationships between words the algorithm was able to ...

Contrary to popular perception, the paper contends that historic AI milestones were enabled less by unique algorithmic ...

as demonstrated when researchers at Lawrence Berkeley Lab ran a text processing algorithm (Word2vec) on several million material science abstracts to predict discoveries of new thermoelectric ...

This data set is called Word2vec and is hugely powerful ... “Through empirical evaluations, we show that our hard-debiasing algorithm significantly reduces both direct and indirect gender ...