We live in an age where the rise of the machines is imminent.
Gizmodo reports that Springer Nature, a prominent publisher for the research community, has published its first book generated by a machine learning algorithm.
Lithium-Ion Batteries: A Machine-Generated Summary of Current Research is a compilation of extensive research on the widely used power source for phones, watches, and electric cars. Over 53,000 papers and articles about lithium-ion battery technology have been published in the last three years, so it’s no surprise that the subject has become a popular study. However, the book does not contain any characters, banter, epic plotlines, or personality.
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The publication instead condenses the collected research, using a machine learning algorithm that includes texts based on academic approval, relevance, and review. Article summaries are then automatically generated for each chapter, which can include hyper-linked passages that direct you to the original research papers (Digital download copy here for those interested).
Lithium-Ion Batteries can be compared to a Reader’s Digest for scientists and researchers, delivering one-hundred-eighty pages of abridged research, as opposed to hundreds of thousands of documents.
Hail Skynet.
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