A machine learning algorithm was able to make completely new scientific discoveries just by going through the old scientific papers.
Humans can not read all the research papers. But machine learning is not having that limitation. So the AI is able to do new scientific discovery just by seeing the connection between the Papers which the Humans miss to see.
Researchers at the U.S. Department of Energy’s Berkeley Lab have shown that an algorithm with no training in materials science can scan the text of millions of papers and uncover new scientific knowledge.
The Research Team 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 predict discoveries of new thermoelectric materials years in advance and suggest as-yet unknown materials as candidates for thermoelectric materials.
Without telling it anything about materials science, it learned concepts like the periodic table and the crystal structure of metals.
News Source: Berkeley Lab
