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Scientists Are Drowning, Artificial Intelligence Will Save Them

Discover how the artificial intelligence-based search engine, Semantic Scholar, is transforming neuroscience research with advanced algorithms.

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There are over 34,000 scholarly, peer-reviewed journals in existence today, collectively publishing some 2.5 million articles every year. It’s estimated that a single researcher, depending on their discipline, will read about 270 of them in the same time frame. Scientists will never keep up. They’re going to miss key insights. They're drowning in a sea of their own expertise. Fortunately, the Allen Institute for Artificial Intelligence (AI2) tossed them a life preserver. On Friday, AI2 expanded its artificial intelligence-based search engine, Semantic Scholar, to the field of neuroscience. The launch is just another step toward AI2’s long-term vision: bringing man and machine together to advance science and save lives.

AI2 is the nation’s largest, non-profit AI research institute, which means the goal isn’t to make a buck; it’s to use cutting-edge techniques in AI to serve the common good. The Semantic Scholar search engine is the keystone project for the ...

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