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Obama signs executive order authorizing development of exascale supercomputers

Titan, former world’s fastest supercomputer (credit: Oak Ridge National Laboratory)

President Obama has signed an executive order authorizing the National Strategic Computing Initiative (NSCI), with the goal of creating the world’s fastest supercomputers. The NSCI is charged with building the world’s first-ever exascale (1,000-petaflops) computer — 30 times faster than today’s fastest supercomputer.

The order mandates:

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Supercomputer simulates one second of human brain activity in 40 minutes

The K supercomputer in Japan. The human brain is arguably the most complex structure in the Universe. To unlock its secrets, scientists all over the world are mapping and simulating parts of the human brain. The latest breakthrough comes from Japan where scientists using the K supercomputer, the fourth most powerful in world, accurately mapped one second’s worth of brain activity. It took the computer 40 minutes to undertake this task, for one percent of the brain activity!

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Ex-Googlers Get Millions to Help You Build the Next Google — Klint Finley Wired

After Spencer Kimball left Google, he found himself missing some of the custom-built software the company uses internally. So he and a bunch of fellow ex-Googlers started building their own. And now they want to make it available to everyone to power the next Google or Facebook.

Specifically, Kimball wanted something like Google’s database system Spanner. Spanner is designed to juggle data between potentially millions of database servers, a tool that keeps Google’s services online even if several servers, or an entire datacenter, go offline. While few companies need to operate at quite the scale Google does, the ability to stay online even if many systems fail, and to automatically balance resources between servers, would be useful to many other companies. Read more

So, the NSA Has an Actual Skynet Program — Kim Zet Wired

We’ve suspected it all along—that Skynet, the massive program that brings about world destruction in the Terminator movies, was just a fictionalization of a real program in the hands of the US government. And now it’s confirmed—at least in name.

As The Intercept reports today, the NSA does have a program called Skynet. But unlike the autonomous, self-aware computerized defense system in Terminator that goes rogue and launches a nuclear attack that destroys most of humanity, this one is a surveillance program that uses phone metadata to track the location and call activities of suspected terrorists. A journalist for Al Jazeera reportedly became one of its targets after he was placed on a terrorist watch list. Read more

Article: Harnessing “Black Holes”: The Large Hadron Collider – Ultimate Weapon of Mass Destruction

Harnessing “Black Holes”: The Large Hadron Collider – Ultimate Weapon of Mass Destruction

Why the LHC must be shut down

CERN-Critics: LHC restart is a sad day for science and humanity!

PRESS RELEASE “LHC-KRITIK”/”LHC-CRITIQUE” www.lhc-concern.info
CERN-Critics: LHC restart is a sad day for science and humanity!
These days, CERN has restarted the world’s biggest particle collider, the so-called “Big Bang Machine” LHC at CERN. After a hundreds of Million Euros upgrade of the world’s biggest machine, CERN plans to smash particles at double the energies of before. This poses, one would hope, certain eventually small (?), but fundamentally unpredictable catastrophic risks to planet Earth.
Basically the same group of critics, including Professors and Doctors, that had previously filed a law suit against CERN in the US and Europe, still opposes the restart for basically the same reasons. Dangers of: (“Micro”-)Black Holes, Strangelets, Vacuum Bubbles, etc., etc. are of course and maybe will forever be — still in discussion. No specific improvements concerning the safety assessment of the LHC have been conducted by CERN or anybody meanwhile. There is still no proper and really independent risk assessment (the ‘LSAG-report’ has been done by CERN itself) — and the science of risk research is still not really involved in the issue. This is a scientific and political scandal and that’s why the restart is a sad day for science and humanity.
The scientific network “LHC-Critique” speaks for a stop of any public sponsorship of gigantomanic particle colliders.
Just to demonstrate how speculative this research is: Even CERN has to admit, that the so called “Higgs Boson” was discovered — only “probably”. Very probably, mankind will never find any use for the “Higgs Boson”. Here we are not talking about the use of collider technology in medical concerns. It could be a minor, but very improbable advantage for mankind to comprehend the Big Bang one day. But it would surely be fatal – how the Atomic Age has already demonstrated — to know how to handle this or other extreme phenomena in the universe.
Within the next Billions of years, mankind would have enough problems without CERN.
Sources:
- A new paper by our partner “Heavy Ion Alert” will be published soon: http://www.heavyionalert.org/
- Background documents provided by our partner “LHC Safety Review”: http://www.lhcsafetyreview.org/

- Press release by our partner ”Risk Evaluation Forum” emphasizing on renewed particle collider risk: http://www.risk-evaluation-forum.org/newsbg.pdf

- Study concluding that “Mini Black Holes” could be created at planned LHC energies: http://phys.org/news/2015-03-mini-black-holes-lhc-parallel.html

- New paper by Dr. Thomas B. Kerwick on lacking safety argument by CERN: http://vixra.org/abs/1503.0066

- More info at the LHC-Kritik/LHC-Critique website: www.LHC-concern.info
Best regards:
LHC-Kritik/LHC-Critique

As the Powerful Argue AI Ethics, Might Superintelligence Arise on the Fringes?

By — SingularityHub

Last year, Elon Musk and Stephen Hawking admitted they were concerned about artificial intelligence. While undeniably brilliant, neither are AI researchers. Then this week Bill Gates leapt into the fray, also voicing concern—even as a chief of research at Microsoft said advanced AI doesn’t worry him. It’s a hot topic. And hotly debated. Why?

In part, it’s because tech firms are pouring big resources into research. Google, Facebook, Microsoft, and others are making rapid advances in machine learning—a technique where programs learn by interacting with large sets of data.

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