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Category: singularity

Great that they didn’t have to use a super computer to do their prescribed, lab controlled experiments. However, to limit QC to a super computer and experimental computations only is a big mistake; I cannot stress this enough. QC is a new digital infrastructure that changes our communications, cyber security, and will eventually (in the years to come) provide consumers/ businesses/ and governments with the performance they will need for AI, Biocomputing, and Singularity.

A group of physicists from the Skobeltsyn Institute of Nuclear Physics, the Lomonosov Moscow State University, has learned to use personal computer for calculations of complex equations of quantum mechanics, usually solved with help of supercomputers. This PC does the job much faster. An article about the results of the work has been published in the journal Computer Physics Communications.

Senior researchers Vladimir Pomerantcev and Olga Rubtsova, working under the guidance of Professor Vladimir Kukulin (SINP MSU) were able to use on an ordinary desktop PC with GPU to solve complicated integral equations of quantum mechanics — previously solved only with the powerful, expensive supercomputers. According to Vladimir Kukulin, personal computer does the job much faster: in 15 minutes it is doing the work requiring normally 2–3 days of the supercomputer time.

The equations in question were formulated in the 60s by the Russian mathematician Ludwig Faddeev. The equations describe the scattering of a few quantum particles, i.e., represent a quantum mechanical analog of the Newtonian theory of the three body systems. As the result, the whole field of quantum mechanics called “physics of few-body systems” appeared soon after this.

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Definitely been seeing great research and success in Biocomputing; why I have been looking more and more in this area of the industry. Bio/ medical technology is our ultimate future state for singularity. It is the key that will help improve the enhancements we need to defeat cancer, aging, intelligence enhance, etc. as we have already seen the early hints already of what it can do for people, machines and data, the environment and resources. However, a word of caution, DNA ownership and security. We will need proper governance and oversight in this space.

undefined © iStock/ Getty Images undefined How much storage do you have around the house? A few terabyte hard drives? What about USB sticks and old SATA drives? Humanity uses a staggering amount of storage, and our needs are only expanding as we build data centers, better cameras, and all sorts of other data-heavy gizmos. It’s a problem scientists from companies like IBM, Intel, and Microsoft are trying to solve, and the solution might be in our DNA.

A recent Spectrum article takes a look at the quest to unlock the storage potential of human DNA. DNA molecules are the building blocks of life, piecing our genetic information into living forms. The theory is that we can convert digital files into biological material by translating it from binary code into genetic code. That’s right: the future of storage could be test tubes.

In April, representatives from IBM, Intel, Microsoft, and Twist Bioscience met with computer scientists and geneticists for a closed door session to discuss the issue. The event was cosponsored by the U.S. Intelligence Advanced Research Projects Activity (IARPA), who reportedly may be interested in helping fund a “DNA hard drive.”

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Good write up by Peter on Neil Jacobstein’s perspective on AI. Peter never disappoints in his articles.

Singularity University is part business incubator and part think tank founded by Peter Diamandis and Ray Kurzweil in 2008 in the NASA Research Park in Silicon Valley. Among the topics that have risen in prominence in the curriculum of the University is artificial intelligence.

Neil Jacobstein is a former President of Singularity University, and currently he chairs the Artificial Intelligence and Robotics Track at Singularity University on the NASA Research Park campus in Mountain View California. We recently spoke, and the conversation covered his thoughts on how AI can be used to augment current human capability, strategies technology executives should use to think about AI, the role the government should play in helping mitigate the potential job losses from AI, his perspectives on the dangers of artificial intelligence that have been expressed by major thought leaders, advice on how to train workers to be prepared for the coming wave of AI, and a variety of other topics.

(To listen to an unabridged audio version of this interview, please click this link. This is the sixth interview in my artificial intelligence series. Please visit these links to interviews with Mike Rhodin of IBM Watson, Sebastian Thrun of Udacity, Scott Phoenix of Vicarious, Antoine Blondeau of Sentient Technologies, Greg Brockman of OpenAI, and Oren Etzioni of the Allen Institute for Artificial Intelligence.)

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Exponential Finance celebrates the incredible opportunity at the intersection of technology and finance. Apply here to join Singularity University, CNBC, and hundreds of the world’s most forward-thinking financial leaders at Exponential Finance in June 2017.

Modern life is punctuated by market cycles.

One year the gears of commerce are whirring along. Businesses are hiring and investing. People are buying houses and cars, televisions and computers. Things are going great. Then a year later, the gears screech to halt—sweeping layoffs, plummeting investment, and crashing markets. No one’s buying anything.

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In this London Futurists event, Amnon Eden, lead editor of the volume “Singularity Hypotheses” which was published three years ago, provided an update on the controversies about the Technological Singularity. Topics covered include:

*) Luddites, Philistines, and Starry-Eyed: The War over Killer Robots

*) AI (Artificial Intelligence) vs. IA (Intelligence Augmentation)

*) definition, sufficient and necessary conditions.

*) perennial fallacies, debunked and re-debunked.

Amnon was joined on stage by Mark Bishop, Professor of Cognitive Computing from Goldsmiths, University of London.

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Medical/ Biocomputing will only continue to grow and advance as a result of the demand for more improved experiences by consumers and business in communications and entertainment, food, home life, travel, business, etc.

Today, we have seen early opportunities and benefits with 3D printing, BMI, early stage Gene/ Cell circuitry and computing. In the future, we will see these technologies more and more replaced by even more advance Biocomputing and gene circuitry technology that will ultimately transform the human experiences and quality of life that many like to call Singularity.

Printing technology has come a long way from screechy dot-matrix printers to 3D printers which can print real life objects from metals, plastics, chemicals and concrete. While, at first, 3D printers were being used to create just basic shapes with different materials, more recently, they have been used to create advanced electronics, bio-medical devices and even houses.

Aircraft manufacturer Airbus recently showcased the world’s first 3D-printed mini aircraft, Thor, at the International Aerospace Exhibition and Air Show in Berlin. Although Airbus and its competitor have been using 3D-printed parts for their bigger assemblies, recent attempt shows that aviation may be ready for a new future with much lighter and cheaper planes given 3D printing not only cuts down the costs with less wastage, it also makes the plane lighter, thereby making them faster and more fuel efficient. But planes and toys is not what 3D printing might be restricted to; though in the elementary stage at the moment, the technology is being used for creating complex electronics like phones and wearables and may be able to reduce costs for manufacturers like Samsung and Apple.

One of the most important uses for the technology comes in the field of medical sciences. While pharma companies have been working on producing medicines from 3D printers, with one winning approval from the US’s Food and Drug Administration earlier this year, the technology is also being used to create bones, cartilages and customisable prosthetic limbs. But the real test for the technology lies in bioprinting—creating living cells via a 3D printer. Doctors have been using 3D printed organs to practice on, but scientists at research institutes have been experimenting with printing stem cells, skin tissue, organs and DNA. Though this is still decades from being a reality, printing of regenerative tissues can help cure heart ailments. 3D printing is also helping in construction, with a printer being used to create the first office space in Dubai using concrete blocks. The city aims that 25% of its buildings will be 3D printed by 2030.

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Too funny; 2 days ago the article was that Musk feared the future of Singularity and Cyborgs; now he believes that we should become cyborgs. Musk needs to make his mind up; however, I am beginning to wonder about him.

Related: Elon Musk thinks we’re basically living in the Matrix, and we should be glad about it

This week, in a conversation at Recode’s annual Code Conference, Musk shared a tentative idea for something called “neural laces,” which he imagines could mitigate the risk of humanity becoming something of a pet to superintelligence.

“The solution that seems maybe the best one is to have an AI layer,” he said. “So think, if you have your limbic system, your cortex, and then a digital layer — sort of a third layer, above the cortex — that could work well and symbiotically with you. Just as your cortex works symbiotically with your limbic system, this digital layer would work symbiotically with the rest of you.”

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Musk concerns over Singularity/ cyborgs technology.

We are said to be headed towards a wired future. But that could equally be a weird future, going by what some tech entrepreneurs and artificial intelligence visionaries are saying about it. It’s going to get a lot weirder than self-driving smart cars. Elon Musk, who co-founded Paypal and started the Tesla electric car company – and thus has a track record of delivering on ambitious projects – also set up the SpaceX company, whose ultimate goal is to colonise Mars. He’s just announced, at this year’s Code Conference in Los Angeles, plans to send the first manned mission to Mars as early as 2024. Moreover cargo flights to Mars are also planned every two years, keeping in mind that a habitation on Mars will require regular supplies from earth.

Musk says he’s doing this to preserve humanity, since possibilities of a calamitous event that destroys human civilisation on earth – thanks to runaway advances in technology – are high. Perhaps we have a foretaste of this already when the Louvre museum packs up its treasures of human art and locks its doors due to floods in Paris, an event that has been linked to the pumping of greenhouse gases into the air that disrupt the earth’s climate. Amazon CEO Jeff Bezos comes at the same issue from the opposite end. He says heavy industry is too polluting and will need to be relocated to outer space to preserve the earth.

There is also the spectre of singularity, the point at which machines become so intelligent that humans are rendered superfluous. To head this off, according to Musk, we will need to add an artificial intelligence layer to the human brain itself. The future, it appears, is cyborg. We will all be Superman, or bust.

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Definitely aligns with my NextGen transformational roadmap leading to Singularity. 5th Revolution is with Quantum technology, BMI, early Biocomputing. 6th Revolution is Singularity with Biocomputing evolved and all things living are enhanced via both technology and Biocomputing and several cases of hybrids through synthetic genes and technology. So, no shocker here.

A team of researchers at MIT has developed a technique to integrate both analogue and digital computation in living cells, allowing them to form gene circuits capable of carrying out complex processing operations.

Living cells are capable of performing complex computations on the environmental signals they encounter.

These computations can be continuous, or analogue, in nature — the way eyes adjust to gradual changes in the light levels. They can also be digital, involving simple on or off processes, such as a cell’s initiation of its own death.

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