Lithium–ion battery book written by machine learning algorithm | Books - Chemistry World

A book written entirely by machine-learning algorithms has been published by Springer Nature, inform Frances Addison, Digital Content Assistant at Chemistry World.

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It discusses current research in lithium–ion batteries and is pulled from more than 150 research articles published between 2016 and 2018. The team responsible wanted the book to demonstrate the current abilities of machine learning algorithms, and to identify problem areas that need to be improved.

Lithium–ion batteries is an area of fast moving research, with many articles published each year. To help researchers keep up with recent advances without needing to sift through vast quantities of literature, Springer Nature wanted to produce a manuscript that summarised all of the research automatically...

To give an accurate representation of the abilities of current machine learning technology, the book has not been copy-edited. This both highlights the tremendous accomplishment of the algorithm – large passages of the book read well without any obvious mistakes – as well as some of the flaws. Sentences and paragraphs have crept in where the algorithm has generated sentences that falter or are grammatically incoherent.  
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References
Beta Writer, Lithium-Ion Batteries: A Machine-Generated Summary of Current Research. Springer Nature, 2019. 

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10 Algorithms Every Machine Learning Enthusiast Should Know by Ambika Choudhury, budding Technical Journalist. 

Source: Chemistry World