Scientist Develop Anti-Faking PC

Scientists have developed a computer system with sophisticated pattern recognition abilities that performed more impressively than humans in differentiating between people experiencing genuine pain and people who were just pretending.

In a study published in the journal Current Biology, human subjects did no better than chance – about 50 percent – in correctly judging if a person was feigning pain after seeing videos in which some people were and some were not.

The computer was right 85 percent of the time. Why? The researchers say its pattern-recognition abilities successfully spotted distinctive aspects of facial expressions, particularly involving mouth movements, that people generally missed.

“We all know that computers are good at logic processes and they’ve long out-performed humans on things like playing chess,” said Marian Bartlett of the Institute for Neural Computation at the University of California-San Diego, one of the researchers.

“But in perceptual processes, computers lag far behind humans and have a lot of trouble with perceptual processes that humans tend to find easy, including speech recognition and visual recognition. Here’s an example of a perceptual process that the computer is able to do better than human observers,” Bartlett said in a telephone interview.

For the experiment, 25 volunteers each recorded two videos.

In the first, each of the volunteers immersed an arm in lukewarm water for a minute and were told to try to fool an expert into thinking they were in pain. In the second, the volunteers immersed an arm in a bucket of frigid ice water for a minute, a genuinely painful experience, and were given no instructions on what to do with their facial expressions.

The researchers asked 170 other volunteers to assess which people were in real discomfort and which were faking it.

After they registered a 50 percent accuracy rate, which is no better than a coin flip, the researchers gave the volunteers training in recognizing when someone was faking pain. Even after this, the volunteers managed an accuracy rate of only 55 percent.

The computer’s vision system included a video camera that took images of a person’s facial expressions and decoded them. The computer had been programmed to recognize that one kind of facial movement combinations suggested true pain and another kind suggested faked pain.

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Web Pioneer Calls For Bill of Rights

The inventor of the world wide web, Tim Berners-Lee, voiced his support for bill of rights to protect freedom of speech on the Internet and users’ rights after leaks about government surveillance of online activity.

25 years since the London-born computer scientist invented the web, Berners-Lee said there was a need for a charter like England’s historic Magna Carta to help guarantee fundamental principles online.

Web privacy and freedom have come under scrutiny since former U.S. National Security Agency contractor Edward Snowden last year leaked a raft of secret documents revealing a vast U.S. government system for monitoring phone and Internet data.

Accusations that NSA was mining personal data of users of Google, Facebook, Skype and other U.S. companies prompted President Barack Obama to announce reforms in January to scale back the NSA program and ban eavesdropping on the leaders of close friends and allies of the United States.

Berners-Lee said it was time for a communal decision as he warned that growing surveillance and censorship, in countries such as China, threatened the future of democracy.

“Are we going to continue on the road and just allow the governments to do more and more and more control – more and more surveillance?” he told BBC Radio on Wednesday.

“Or are we going to set up something like a Magna Carta for the world wide web and say, actually, now it’s so important, so much part of our lives, that it becomes on a level with human rights?” he said, referring to the 1215 English charter.

While acknowledging the state needed the power to tackle criminals using the Internet, he has called for greater oversight over spy agencies such Britain’s GCHQ and the NSA, and over any organizations collecting data on private individuals.

He has previously spoken in support of Snowden, saying his actions were “in the public interest”.

Berners-Lee and the World Wide Web Consortium, a global community with a mission to lead the web to its full potential, have launched a year of action for a campaign called the Web We Want, urging people to push for an Internet “bill of rights” for every country.

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Google Buys A.I. Firm

Google has purchased DeepMind Technologies, an artificial intelligence company in London, reportedly for $400 million.

A Google representative confirmed the via email, but said the company’s isn’t providing any additional information at this time.

News website Re/code said in a report this past Sunday that Google was paying $400 million for the company, founded by games prodigy and neuroscientist Demis Hassabis, Shane Legg and Mustafa Suleyman.

The company claims on its website that it combines “the best techniques from machine learning and systems neuroscience to build powerful general-purpose learning algorithms.” It said its first commercial applications are in simulations, e-commerce and games.

Google announced this month it was paying $3.2 billion in cash to acquire Nest, a maker of smart smoke alarms and thermostats, in what is seen as a bid to expand into the connected home market. It also acquired in January a security firm called Impermium, to boost its expertise in countering spam and abuse.

The Internet giant said on a research site that much of its work on language, speech, translation, and visual processing relies on machine learning and artificial intelligence. “In all of those tasks and many others, we gather large volumes of direct or indirect evidence of relationships of interest, and we apply learning algorithms to generalize from that evidence to new cases of interest,” it said.

In May, Google launched a Quantum Artificial Intelligence Lab, hosted by NASA’s Ames Research Center. The Universities Space Research Association was to invite researchers around the world to share time on the quantum computer from D-Wave Systems, to study how quantum computing can advance machine learning.

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