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.

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The basics of modern AI—how does it work and will it destroy society this year?

What are people talking about when they say AI? What’s the difference between AI, machine learning, and deep learning?

Hollywood aside, today we aren’t anywhere close to strong AI. Right now, all AI is weak AI, and most researchers in the field agree that the techniques we’ve come up with to make really great weak AIs probably won’t get us to Strong AI. So AI currently represents more of a marketing term than a technical one.

How do I remember what I’ve learned? On a computer, how do I store and represent the relationships and rules I’ve extracted from the example data?

How do I do the learning? How do I modify the representation I’ve stored in response to new examples and get better?

The kind of model you use has huge effects: it determines how your AI learns, what kind of data it can learn from, and what kind of questions you can ask of it.

Say we’re shopping for figs at the grocery store, and we want to make a machine learning AI that tells us when they’re ripe.

Our baby AI doesn’t know anything about sugar content or how fruits ripen, but it can predict how sweet a fruit will be by squeezing it.

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Blue the robot could be the AI-powered workhorse of the future

Blue, a new robot from UC Berkeley, aims to break that mold with the help of AI. Blue looks a little bit like a child’s drawing of a robot: it’s made from bulky, 3D-printed parts, and it has a pair of humanoid robot arms with pincers for hands.

Pieter Abbeel, the roboticist leading the project, wants to change this, and he says Blue has been built from the ground up to take advantage of recent improvements in AI. “The fact that AI is becoming more capable gave us an opportunity to rethink how to design a robot,” Abbeel tells The Verge.

PR2, a popular research robot built by Willow Garage that also has a pair of arms and pincers, set researchers back around $400,000.

The Elon Musk-founded research lab OpenAI has done similar work using robot hands, and Google is also exploring AI-training for robots.

The robot is being built in small batches right now, but Abbeel hopes to scale up, eventually moving to outsourced manufacturing to produce larger numbers.

Offering a cheaper robot will make them more widely available, boosting the output of robot research.

Abbeel hopes that Blue will provide a blueprint for what the home robot of the future could look like: something that is low cost, flexible, and plays well with humans

https://berkeleyopenrobotics.github.io/

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