Zhang says the research, published in the July 25 issue of Proceedings of the National Academy of Sciences, is an important first step toward a more ambitious goal of his, which is designing a replacement to the Turing test – the current gold standard for gauging machine intelligence. Wood Professor of Physics at Stanford’s School of Humanities and Sciences. “We wanted to know whether an AI can be smart enough to discover the periodic table on its own, and our team showed that it can,” said study leader Shoucheng Zhang, the J. G. The unsupervised AI then used concepts borrowed from the field of natural language processing – in particular, the idea that the properties of words can be understood by looking at other words surrounding them – to cluster the elements according to their chemical properties. (Image credit: Claire Scully)Ī new artificial intelligence (AI) program developed by Stanford physicists accomplished the same feat in just a few hours.Ĭalled Atom2Vec, the program successfully learned to distinguish between different atoms after analyzing a list of chemical compound names from an online database. We now know that the explanation of isotopes is the reason why iodine has a lower mass number than tellurium, even though it has a higher proton number.A Stanford team has developed an artificial intelligence program that recreated the period table of elements they aim to harness that tool to discover and design new materials.
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