Lifeboat Foundation

It’s that time of the year again when techno pundits are once again breathlessly telling us all about the technology and innovation trends that will be big in 2013. That’s great, but many of those predictions will be hopelessly wrong by the end of March. That’s why it’s so fascinating that Ray Kurzweil, one of the leading thinkers when it comes to the future of technology, has had such a strong track record in making predictions about technology for nearly two decades. In fact, of the 147 predictions that Kurzweil has made since the 1990’s, fully 115 of them have turned out to be correct, and another 12 have turned out to be “essentially correct” (off by a year or two), giving his predictions a stunning 86% accuracy rate. So how does he do it?

The fact is, Ray has a system and this system is called the Law of Accelerating Returns. In his new book How to Create a Mind: The Secret of Human Thought Revealed, Kurzweil points out that “every fundamental measure of information technology follows predictable and exponential trajectories.” The most famous of these trajectories, of course, has been the price/performance path of computing power over more than 100 years. Thanks to paradigms such as Moore’s Law, which reduces computing power to a problem of how many transistors you can cram on a chip, anyone can intuitively understand why computers are getting exponentially faster and cheaper over time.

The other famous exponential growth curve in our lifetime is the sheer amount of digital information available on the Internet. Kurzweil typically graphs this as “bits per second transmitted on the Internet.” That means the amount of information on the Internet is doubling approximately every 1.25 years. That’s why “Big Data” is such a buzzword these days — there’s a growing recognition that we’re losing track of all the information we’re putting up on the Internet, from Facebook status updates, to YouTube videos, to funny meme posts on Tumblr. In just a decade, we will have created more content than existed for thousands of years in humanity’s prior experience.

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Researchers have discovered a new method of heat conduction that is a ten-thousand-fold improvement over earlier attempts. The novel invention forms a necessary step in the creation of super-cooled quantum computing.

A group of Finnish scientists at Aalto University have made a stunning breakthrough in heat transference, and the implications are potentially revolutionary.

Continue reading “New Breakthrough Means Huge Leap Forward for Quantum Computing” »

Did you know that Quantum Theory does not know how probabilities are implemented in Nature? And for that matter neither does any other physical theory. Why? Or why not? The closest Quantum Theory comes to explaining probabilities, is to guess that a particle’s wave function is related to its probabilities. That’s it!

Why do we need to ask this question? Commercial opportunities. Imagine if you could control where a photon localizes (captured by an atom). Particle detectors become significantly more sensitive. Boring? No, in fact, DARPA aims to precisely spot single photons and explore the Fundamental Limits of Photon Detection. Anti-stealth is one application. Imagine if you didn’t need 1,000,000 radio wave photons to determine an aircraft’s radar signature, but only a 1,000?

Using probabilities to control photon switching “circuits”, probability switches. Imagine an empty box with optical cables entering and exiting. These probability switches cause photons to exit through different optical cables by controlling where they localize within the box. What if we could build computers with materials lighter than a feather to switch photon paths, instead of heavy silicon or gallium arsenide to switch electron paths? Imagine how fast these switches could operate, as no matter is involved.

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https://youtube.com/watch?v=c0HLuvmWL7g

Pop music is littered with titles that relay how romantic yearning is sparked and experienced wordlessly with one person staring at the other. Animals don’t have it so good. “Most mammals generally interpret direct gaze as threatening or as a sign of dominance,” wrote researchers in Frontiers In Human Neuroscience.

People, however, usually take gazing with positive interpretations, such as affection, love and attraction. “A preference for direct gaze seems to be present at a very early age: Farroni et al. (2002) found that infants as young as 2 days old prefer to look at faces that gazed directly at them compared to faces with averted gaze.”

Continue reading “Robot-human eye contact helps conversation flow” »

Becoming immortal is one of mankind’s many quixotic notions that most people will relegate to the world of fantasy and science fiction. However, there is a subset of prominent scientists who believe that immortality is not only attainable, but it is something that will come to fruition in as little as 25 years. This idea is shared by men like Google’s Director of Engineering, Ray Kurzweil; Tesla Motors CEO, Elon Musk; and one of the most interesting presidential candidates outside of Donald Trump and Deez Nuts, Zoltan Istvan. All three men identify as trans-humanist, and for those who don’t know, trans-humanism is the idea that mankind will one day be able to transcend our biological limitations through the use of science and technology; not to mention, the movement has accumulated over 3 million supporters worldwide. So the question remains, with the multitude of prominent intellectuals who believe immortality is a tangible goal, just how will they go about achieving it? Well, the six answers below could possibly hold the key to everlasting life.

Number Six: Uploading Minds to Computers. Futurists believe that at some point in the near future we will be able to copy and scan all of the data that exists in our brains and upload the information into a computer. This will allow us to perpetually exist as incorporeal inhabitants of cyberspace. Of course, the idea of mind uploading is still purely science fiction, but if it ever becomes tangible, progeny could possibly live in a limitless world, that echoes notions expressed in the Matrix; minus the robot despots.

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UT RESEARCHERS DEVELOP ®EVOLUTIONARY CIRCUITS

Researchers of the MESA+ Institute for Nanotechnology and the CTIT Institute for ICT Research at the University of Twente in The Netherlands have demonstrated working electronic circuits that have been produced in a radically new way, using methods that resemble Darwinian evolution. The size of these circuits is comparable to the size of their conventional counterparts, but they are much closer to natural networks like the human brain. The findings promise a new generation of powerful, energy-efficient electronics, and have been published in the leading British journal Nature Nanotechnology.

One of the greatest successes of the 20th century has been the development of digital computers. During the last decades these computers have become more and more powerful by integrating ever smaller components on silicon chips. However, it is becoming increasingly hard and extremely expensive to continue this miniaturisation. Current transistors consist of only a handful of atoms. It is a major challenge to produce chips in which the millions of transistors have the same characteristics, and thus to make the chips operate properly. Another drawback is that their energy consumption is reaching unacceptable levels. It is obvious that one has to look for alternative directions, and it is interesting to see what we can learn from nature. Natural evolution has led to powerful ‘computers’ like the human brain, which can solve complex problems in an energy-efficient way. Nature exploits complex networks that can execute many tasks in parallel.

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Could an avg “Joe” from Wall Street actually beat AI? It sounds like it.

Investor and Forbes contributor John S. Tobey has a rather fatalistic view of artificial intelligence-based investing and trading regimes. In a recent article, the former professional investment manager who formerly operated a multi-manager fund of funds, likes three primary investment strategies – and they don’t generally include artificial intelligence and computer-based hedge fund decision processes.

Continue reading “Beat Artificial Intelligence In Markets By Investing In Individual Stocks?” »

Another major leap forward in Quantum; researchers have been able to transport heat consistently ten thousand times further than ever before. This will enable Quantum technology to be leveraged in across multiple areas of manufacturing (clothing, etc.), energy, and electronics due to its heat conductive properties.

Heat conduction is a fundamental physical phenomenon utilized, for example, in clothing, housing, car industry, and electronics. Thus our day-to-day life is inevitably affected by major shocks in this field. The research group, led by quantum physicist Mikko Möttönen has now made one of these groundbreaking discoveries. This new invention revolutionizes quantum-limited heat conduction which means as efficient heat transport as possible from point A to point B. This is great news especially for the developers of quantum computers.

Continue reading “New invention revolutionizes heat transport (w/video)” »

DARPA Futurist’s visions of the future: non breakable parts and improving energy usage. Interesting, we both had worked at the National Labs.

Although we’re still awaiting the mass production of flying cars and miniature fusion reactors, some predictions in the 1985 film Back to the Future for 2015 have, indeed, come true. Among them are in-home videoconferencing and voice and fingerprint recognition for personal devices.

On the 30^th anniversary of the movie, the US Defense Advanced Research Projects Agency (DARPA) issued some predictions about the world in 2045. Some of them seem pretty far-fetched (click here for a look), but given the pace of technological development, they might be realized much sooner. So, what would an idealized future for the advanced composites industry look like? And rather than looking out 30 years, how about the next 10 to 20? Here are some of my thoughts:

“Make it and break it” is a thing of the past. Today’s “building block” approach to composites, from coupon level to full structures, is both time-consuming and expensive. As computing power evolves, the necessity to fabricate and test thousands of coupons to derive design allowables goes away. Instead, we manufacture a modest set of critical panels and measure a handful of mechanical properties, and use proven and reliable mathematical models to accurately predict the remaining design properties, called “virtual allowables.” Most important, we believe in them. From these, we are able to predict behavior of as-manufactured components and assemblies in impact, crash, fatigue and other potential failure modes, leading us to design parts at minimum weight and cost. We also characterize the rheology of the various polymers in composites, as well as forming behavior of fibers and textile forms to confidently simulate composite manufacturing processes.

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