AI developed to tackle physics problems is really good at summarizing research papers

New research from MIT and elsewhere is making an AI that can read scientific papers and generate a plain-English summary of one or two sentences.

A novel neural network they developed, along with other computer researchers, journalists, and editors, can read scientific papers and render a short, plain-English summary.

Autoread. “We have been doing various kinds of work in AI for a few years now,” says Marin Solja?i?, a professor of physics at MIT and co-author of the research.

“We use AI to help with our research, basically to do physics better. And as we got to be more familiar with AI, we would notice that every once in a while there is an opportunity to add to the field of AI because of something that we know from physics – a certain mathematical construct or a certain law in physics. We noticed that hey, if we use that, it could actually help with this or that particular AI algorithm.”

The name the team gave this approach, thankfully, is much easier to wrap your head around: RUM. “RUM helps neural networks to do two things very well,” says Preslav Nakov, a senior scientist at the Qatar Computing Research Institute and paper co-author.

As a proof-of-concept, the team ran the same research paper through a conventional neural network and through their RUM-based system, asking them to produce short summaries.

“Researchers have developed a new representation process on the rotational unit of RUM, a recurrent memory that can be used to solve a broad spectrum of the neural revolution in natural language processing.”

Hmmmmmnnnn, very interesting indeed.

This article was summarized automatically with AI / Article-Σ ™/ BuildR BOT™.

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