Will Facebook Enter The Healthcare Arena?

Facebook Inc already can tell who your friends are and the what types of things grabs your attention. Soon, it could also know the state of your health.

On the heels of fellow Silicon Valley technology companies Apple Inc and Google Inc, Facebook is plotting its first steps into the fertile field of healthcare, said three people familiar with the matter. The people requested anonymity as the plans are still in development.

The company is exploring creating online “support communities” that would connect Facebook users suffering from various ailments. A small team is also considering new “preventative care” applications that would help people improve their lifestyles.

In recent months, the sources said, the social networking giant has been holding meetings with medical industry experts and entrepreneurs, and is setting up a research and development unit to test new health apps. Facebook is still in the idea-gathering stage, the people said.

Healthcare has historically been an area of interest for Facebook, but it has taken a backseat to more pressing products.

Recently, Facebook executives have come to realize that healthcare might work as a tool to increase engagement with the site.

One catalyst: the unexpected success of Facebook’s “organ-donor status initiative,” introduced in 2012. The day that Facebook altered profile pages to allow members to specify their organ donor-status, 13,054 people registered to be organ donors online in the United States, a 21 fold increase over the daily average of 616 registrations, according to a June 2013 study published in the American Journal of Transplantation.

Separately, Facebook product teams noticed that people with chronic ailments such as diabetes would search the social networking site for advice, said one former Facebook insider. In addition, the proliferation of patient networks such as PatientsLikeMe demonstrate that people are increasingly comfortable sharing symptoms and treatment experiences online.

Chief executive Mark Zuckerberg may step up his personal involvement in health. Zuckerberg and his wife Priscilla Chan, a pediatric resident at University of California San Francisco, recently donated $5 million to the Ravenswood Health Center in East Palo Alto.

Any advertising built around the health initiatives would not be as targeted as it could be on television or other media. Pharmaceutical companies, for instance, are prohibited from using Facebook to promote the sale of prescription drugs, in part because of concerns surrounding disclosures.

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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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Dell Promises ExaScale By 2015

Dell has claimed it will make exascale computing available by 2015, as the firm enters the high performance computing (HPC) market.

Speaking at the firm’s Enterprise Forum in San Jose, Sam Greenblatt, chief architect of Dell’s Enterprise Solutions Group, said the firm will have exascale systems by 2015, ahead of rival vendors. However, he added that development will not be boosted by a doubling in processor performance, saying Moore’s Law is no longer valid and is actually presenting a barrier for vendors.

“It’s not doubling every two years any more, it has flattened out significantly,” he said. According to Greenblatt, the only way firms can achieve exascale computing is through clustering. “We have to design servers that can actually get us to exascale. The only way you can do it is to use a form of clustering, which is getting multiple parallel processes going,” he said.

Not only did Greenblatt warn that hardware will have to be packaged differently to reach exascale performance, he said that programmers will also need to change. “This is going to be an area that’s really great, but the problem is you never programmed for this area, you programmed to that old Von Neumann machine.”

According to Greenblatt, shifting of data will also be cut down, a move that he said will lead to network latency being less of a performance issue.”Things are going to change very dramatically, your data is going to get bigger, processing power is going to get bigger and network latency is going to start to diminish, because we can’t move all this [data] through the pipe,” he said.

Greenblatt’s reference to data being closer to the processor is a nod to the increasing volume of data that is being handled. While HPC networking firms such as Mellanox and Emulex are increasing bandwidths on their respective switch gear, bandwidth increases are being outpaced by the growth in the size of datasets used by firms deploying analytics workloads or academic research.

That Dell is projecting 2015 for the arrival of exascale clusters is at least a few years sooner than firms such as Intel, Cray and HP, all of which have put a “by 2020″ timeframe on the challenge. However what Greenblatt did not mention is the projected power efficiency of Dell’s 2015 exascale cluster, something that will be critical to its usability.

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