The AI startup MetaMind has published new research detailing a neural networking system that uses a kind of artificial short-term memory to answer a wide range of questions about a piece of natural language.
Between targeted advertising and tailored search results, you may feel like Google knows too much about you already. This new patent isn’t going to help. Filed in 2012 and published last week, “interactive electronics that support social cues” are devices that react to the voice commands and movements of children....
This year in CES 2015, there are probably some really creative, some unusual and more speakers that are seen. With more technology getting into place, we have selected some of the best gadgets from CES 2015 and I am sure many of you will also agree. But still there are few more days to go and …
A startup called MetaMind has developed a new, improved algorithm for processing language.
Talking to a machine over the phone or through a chat window can be an infuriating experience. However, several research groups, including some at large technology companies like Facebook and Google, are making steady progress toward improving computers’ language skills by building upon recent advances in machine learning.
The latest advance in this area comes from a startup called MetaMind, which has published details of an algorithm that is more accurate than other techniques at answering questions about several lines of text that tell a story. MetaMind is developing technology designed to be capable of a range of different artificial-intelligence tasks and hopes to sell it to other companies. The startup was founded by Richard Socher, a prominent machine-learning expert who earned a PhD at Stanford.
A revolution in artificial intelligence is currently sweeping through computer science. The technique is called deep learning and it’s affecting everything from facial and voice to fashion and economics.
But one area that has not yet benefitted is natural language processing—the ability to read a document and then answer questions about it. That’s partly because deep learning machines must first learn their trade from vast databases that are carefully annotated for the purpose. However, these simply do not exist in sufficient size to be useful.
Today, that changes thanks to the work of Karl Moritz Hermann at Google DeepMind in London and a few pals. These guys say the special way that the Daily Mail and CNN write online news articles allows them to be used in this way. And the sheer volume of articles available online creates for the first time, a database that computers can use to learn and then answer related about. In other words, DeepMind is using Daily Mail and CNN articles to teach computers to read.
The deep learning revolution has come about largely because of two breakthroughs. The first is related to neural networks, where computer scientists have developed new techniques to train networks with many layers, a task that has been tricky because of the number of parameters that must be fine-tuned. The new techniques essentially produce “ready-made” nets that are ready to learn.
Unfulfilled promises of super-wired smart cities have sparked a dubious backlash, say experts. Years ago, experts told the world that the Internet would radically change our cities. A lot of us are still waiting. How cool, they said. Cities will be able to use the language of data to virtually talk to us, sharing information so communities can become superefficient, saving untold billions of dollars. Traffic management would untangle our commutes. Carbon emissions would plummet. Life, they said, would get a little easier. Well, some of this stuff is actually happening in places around the world. But in many other cities, businesses and governments have been ... moving ... kind of ... slow. So. What's the hold up? Where's my talking city? ...
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