Google isn’t the only company working on artificial intelligence. It’s just the richest

17 hours ago Jan. 29, 2014 - 10:30 AM PST

Artificial intelligence might be the most misunderstood term in technology. It conjures up images of malevolent robots and self-aware computer systems capable of outwitting or at least matching wits with human beings. It is not that. At least not today.

Googles acquisition of artificial intelligence startup DeepMind for $400 million sent the tech world atwitter earlier this week. Everybody wanted to know what the mysterious company was up to and why Google was willing to pay so much for it. After a day or so of mystery and even speculation that Google wanted to turn its new robots into sentient beings, the probable truth finally began to emerge.

Google just wants to build a better search platform, and talent isnt going to come cheap with everybody in the web vying for it.

DeepMind was working on some form of artificial intelligence technology, although the details are still somewhat murky. It had filed patent applications around image search, and the Re/Code post linked to above quotes AI expert Yoshua Bengio, who described a DeepMind paper about teaching a computer to learn the rules of Atari games as essentially using deep learning. Heres a primer (albeit one in need of an update) we did on deep learning in November.

Whether or not its methods or its people are worth $400 million is up for debate, but one thing is not: DeepMind was just the latest in a string of similar acquisitions of artificial intelligence talent and technology by large web companies. And it wont be the last.

We recapped the recent activity earlier this month when Pinterest bought a computer vision startup called Visual Graph, but heres an abbreviated version of moves that happened throughout 2012 and 2013: Dropbox bought Anchovi Labs; Google bought DNNresearch (and its co-founder Geoffrey Hinton); Yahoo bought LookFlow, IQ Engines and SkyPhrase; Facebook hired Yann LeCun to head up its new AI lab. Various students of Hinton and LeCun (who are also professors), as well as of their peers from other top universities, are floating around companies like Google, Facebook and Microsoft.

How SkyPhrases technology interpreted my query.

A betting man might wager that a Silicon Valley startup called Vicarious is one of the next up for acquisition. It launched in August 2012 with $15 million in venture capital and in October 2013 claimed it has passed the Turing test by successfully cracking CAPTCHAs at up to a 90 percent rate. Vicarious is clear to point out that it doesnt do deep learning (nor do some of the other startups mentioned), but its trying to accomplish a similar task. If someone is interested in buying it, the acquisition price might depend on who else is making offers.

Which, actually, brings up one other thing thats not up for debate: deep learning, artificial intelligence and similar technologies are not what we instinctively want to think they are. Largely, the companies and researchers being acquired by Google, Facebook et al are focusing on two things: computer vision (usually object recognition) and natural language processing. Their algorithms try to learn the features of objects and the meanings of words and phrases so computers can automate tasks such as classification.

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Google isn’t the only company working on artificial intelligence. It’s just the richest

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Mass unemployment fears over Google artificial intelligence plans

He also warned about the implications for uncontrolled mass surveillance if computers were taught to recognise human faces.

Speaking on Radio 4s Today programme, he said: Theres a variety of short term risks for artificial intelligence, everyone knows about the autonomous drones.

But theres also the potential for mass surveillance, you dont just have to recognise cat images, you could also recognise human faces and also mass unemployment in a variety of professions.

He added: We have some studies looking into which jobs are the most vulnerable and theres quite a lot of them in logistics, administration, insurance underwriting but ultimately a huge swathe of jobs are potentially vulnerable to improved artificial intelligence.

His concerns were backed up by Murray Shanahan, professor of cognitive robotics at Imperial College London, who said: I think it is a very good thing that Google has set up this ethics board and I think there certainly are some short term issues that we all need to be talking about.

Its very difficult to predict and that is of course a concern but in the past when weve developed new kinds of technologies then often they have created jobs at the same time as taking them over but it certainly is something we ought to be discussing.

DeepMind was founded two years ago by 37-year-old neuroscientist and former teenage chess prodigy Demis Hassabis, along with Shane Legg and Mustafa Suleyman.

The company specialises in algorithms and machine learning for simulation, e-commerce and games.

It is also working in an area called Deep Learning in which machines are taught to see patterns from large quantities of data so computers could start to recognise objects from daily life such as cars or food products and even human faces.

It is believed Google will use DeepMinds expertise to improve the functions of its current products such as the Google Glass and extend its current artificial intelligence work such as the development of self-driving cars.

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Mass unemployment fears over Google artificial intelligence plans

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