Lifeboat Foundation: Safeguarding Humanity
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Category: information science

Ever notice how maps of the large structures of the Universe look like maps of the brain or a Pollock painting?

On the grandest scale, our universe is a network of galaxies tied together by the force of gravity. Cosmic Web, a new effort led by cosmologists and designers at Northeastern’s Center for Complex Network Research, offers a roadmap toward understanding how all of those tremendous clusters of stars connect—and the visualizations are stunning.

The images below show us several hypothetical architectures for our universe, built from data on 24,000 galaxies. By varying the construction algorithm, the researchers have designed cosmic webs that link up in a number of different ways; based on the size, proximity, and relative velocities of individual galaxies. I call it God View.

“Before, the cosmic web was more like a metaphor,” Kim Albrecht, the designer behind the new visualizations told Gizmodo. “This is the first time somebody has made these calculations and thought about it as an actual network.”

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AI is hackable as long as it’s underpinning technology is still supported on legacy platform technology and connected to a legacy infrastructure. Only when the underpinning technology & net infrastructure is updated to Quantum will we see a secured AI environment.

At MIT, machine learning specialists are training deep learning algorithms to spot cyber attacks. It may be AI’s ultimate test.

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Newswise — The saying of philosopher René Descartes of what makes humans unique is beginning to sound hollow. ‘I think — therefore soon I am obsolete’ seems more appropriate. When a computer routinely beats us at chess and we can barely navigate without the help of a GPS, have we outlived our place in the world? Not quite. Welcome to the front line of research in cognitive skills, quantum computers and gaming.

Today there is an on-going battle between man and machine. While genuine machine consciousness is still years into the future, we are beginning to see computers make choices that previously demanded a human’s input. Recently, the world held its breath as Google’s algorithm AlphaGo beat a professional player in the game Go—an achievement demonstrating the explosive speed of development in machine capabilities.

But we are not beaten yet — human skills are still superior in some areas. This is one of the conclusions of a recent study by Danish physicist Jacob Sherson, published in the prestigious science journal Nature.

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The Direct Fusion Drive (DFD) concept provides game-changing propulsion and power capabilities that would revolutionize interplanetary travel. DFD is based on the Princeton Field-Reversed Configuration (PFRC) fusion reactor under development at the Princeton Plasma Physics Laboratory. The mission context we are proposing is delivery of a Pluto orbiter with a lander. The key objective of the proposal is to determine the feasibility of the proposed Pluto spacecraft using improved engine models. DFD provides high thrust to allow for reasonable transit times to Pluto while delivering substantial mass to orbit: 1000 kg delivered in 4 to 6 years. Since DFD provides power as well as propulsion in one integrated device, it will also provide as much as 2 MW of power to the payloads upon arrival. This enables high-bandwidth communication, powering of the lander from orbit, and radically expanded options for instrument design. The data acquired by New Horizons’ recent Pluto flyby is just a tiny fraction of the scientific data that could be generated from an orbiter and lander. We have evaluated the Pluto mission concept using the Lambert algorithm for maneuvers with rough estimates of the engine thrust and power. The acceleration times are sufficiently short for the Lambert approximation, i.e. impulsive burns, to have some validity. We have used fusion scaling laws to estimate the total mission mass and show that it would fit within the envelope of a Delta IV Heavy launch vehicle. Estimates of the amount of Helium 3 required to fuel the reactor are within available terrestrial stores.

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Scientists from ITMO University in Saint Petersburg, Russia have enabled the longer distance (250 Kilos) of secured data transmission occur via Quantum. Nice; and should be a wake up call to the US as well on advancing their efforts more.

A group of scientists from ITMO University in Saint Petersburg, Russia has developed a novel approach to the construction of quantum communication systems for secure data exchange. The experimental device based on the results of the research is capable of transmitting single-photon quantum signals across distances of 250 kilometers or more, which is on par with other cutting edge analogues. The research paper was published in the Optics Express journal.

Information security is becoming more and more of a critical issue not only for large companies, banks and defense enterprises, but even for small businesses and individual users. However, the data encryption algorithms we currently use for protecting our data are imperfect — in the long-term, their logic can be cracked. Regardless of how complex and intricate the algorithm is, getting round it is just the matter of time.

Contrary to algorithm-based encryption, systems that protect information by making use of the fundamental laws of quantum physics, can make data transmission completely immune to hacker attacks in the future. Information in a quantum channel is carried by single photons that change irreversibly once an eavesdropper attempts to intercept them. Therefore, the legitimate users will instantly know about any kind of intervention.

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Hmm… That would explain Alzheimer disease — It’d be like some sort of unabashedly evil version of a smart phone data caps!

Or not.

wink

NEW YORK — Is the universe just an enormous, fantastically complex simulation? If so, how could we find out, and what would that knowledge mean for humanity?

These were the big questions that a group of scientists, as well as one philosopher, tackled on April 5 during the 17th annual Isaac Asimov Debate here at the American Museum of Natural History. The event honors Asimov, the visionary science-fiction writer, by inviting experts in diverse fields to discuss pressing questions on the scientific frontiers.

Neil deGrasse Tyson, director of the museum’s Hayden Planetarium and host of this year’s event, invited five intellectuals to the stage to share their unique perspectives on the problem: Zohreh Davoudi, a nuclear physicist at the Massachusetts Institute of Technology (MIT); Max Tegmark, a cosmologist at MIT whose recent book probes the universe as mathematics; James Gates, a physicist at the University of Maryland who discovered strange, error-correcting codes deep in the equations of supersymmetry; Lisa Randall, a physicist at Harvard University who thinks the simulation question is more or less irrelevant; and David Chalmers, a philosopher at New York University who regularly questions the reality that conscious minds perceive. [7 Surprising Things About the Universe].

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Good question? Answer as of to date — depends on the “AI creator.” AI today is all dependent upon architects, engineers, etc. design and development and the algorithms & information exposed in AI. Granted we have advanced this technology; however, it is still based on logical design and principles; nothing more.

BTW — here is an example to consider in this argument. If a bank buys a fully functional and autonomous AI; and through audits (such as SOX) it is uncovered that embezzling was done by this AI solution (like in another report 2 weeks ago showing where an AI solution stole money out of customer accounts) who is at fault? Who gets prosecuted? who gets sued? The bank, or the AI technology company; or both? We must be ready to address these types of situations soon and legislation and the courts are going to face some very interesting times in the near future; and consumers will probably take the brunt of the chaos.

A recent experiment in which an artificially intelligent chatbot became virulently racist highlights the challenges we could face if machines ever become superintelligent. As difficult as developing artificial intelligence might be, teaching our creations to be ethical is likely to be even more daunting.

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I imagine that Alphabet has been already exploring the whole online bot technology with its cloud as well as other AI technology. However, one real opportunity in the online cloud services is the “personable” experiences for consumers and businesses. Granted big data & analytics in the cloud is proving to be exceptional for researchers and industry; however, how do we now make the leap to make things more of a personable experience as well as make it available/ attractive for individual consumers & small business especially we look at connected AI & singularity. Personally, I have not seen any viable and good answers at the moment to my question. Security & privacy still is a huge hurdle that must be addressed properly to ensure adoption by consumers from a personable experience perspective.

The market for cloud services is expected to skyrocket in the years ahead. With hundreds of billions of dollars at stake, industry leaders including Microsoft, IBM, and Alphabet are going all-in to capture their fair share of the cloud revenue pie. Alphabet has taken a different path than its tech brethren in the cloud market, but it appears that’s about to change.

Until recently, Alphabet seemed content to focus its cloud efforts on data hosting, or Infrastructure-as-a-Service (IaaS). Not a bad plan given that the amount of data amassed in today’s digital world is unparalleled and is expected to continue growing as consumers become more connected. But even at this early stage of the cloud, data hosting has become a commodity. The real opportunity lies in cloud-based Software-as-a-Service (SaaS) and data analytics solutions, which Alphabet is beginning to address.

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A new Rembrandt painting has been unveiled in Amsterdam on Tuesday, and we’re not talking about a newly discovered work. No, this one called The Next Rembrandt is truly brand new, created using data, algorithms and a 3D printer within the span of 18 months. A team of data scientists, engineers and scientists from various institutions, including Microsoft and the Rembrandt House Museum, joined forces to create this homage to the great painter. The team examined all the Dutch master’s known paintings to come up with the perfect project: a portrait of a 30 to 40-year-old Caucasian male with facial hair, wearing dark clothes with a collar and a hat on his head, facing to the right.

They then developed algorithms to extract what features make a painting a Rembrandt, such as the face’s shape and proportions. Ron Augustus, Microsoft’s SMB Markets Director, said: “You could say that we used technology and data like Rembrandt used his paints and his brushes to create something new.” To give their work a real painting’s texture, they used 3D printing techniques to print oil paint in layers. As a result, the portrait feels like it was actually painted by a human artist.

The project, which the Netherlands’ ING Bank commissioned ad agency J Walter Thompson to develop, most likely began as a promotional undertaking. As you can see, though, the final product turned out so good that the same technique could be used to make more affordable replicas (maybe even forgeries) of masterpieces.

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