Lifeboat Foundation

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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Windows 95 just won’t die. The older it gets, the more versatile it becomes. We’ve seen it running on smartwatches, tablets, and handheld consoles — and now you can run it right inside your web browser in an instant.

Andrea Faulds, a 19-year-old developer from Scotland, has been able to get Windows 95 running in almost any web browser using emscripten, an emulator that converts C++ code to JavaScript in real-time. It requires no downloads, plugins, or any special software.

The emulator takes a minute to load up, but once you’re inside it, it’s surprisingly snappy. It provides you with a full Windows 95 operating system and everything you’d expect to get with it — including classic games like Solitaire and Minesweeper — and it runs incredibly well.

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True points and many that I have been sharing on Quantum around its own potential to change everything that we know about technology (devices, internet & networking in general, wireless and satellites, AI, advancements in biotech, security, big data, and singularity itself). The author also highlights many of the same concerns that I have shared around hackers on Quantum breaking through the older digitized platforms and networks; therefore, many companies and governments are exposed as well as consumers who have not adopted Quantum.

Although the author speculates we’re less than 10 yrs for Quantum to be seen in the everyday usage; I believe we’re within 7 yrs.

Within four years quantum computers will have the beating of conventional computers and that will produce a dramatic change in both the technology landscape and in business, according to Professor Jeremy O’Brien from Bristol University.

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Elon Musk, CEO of Space Exploration Technologies (SpaceX) and Tesla Motors, Inc, was at Startmeup Hong Kong and talked about what he thought were areas of technological opportunity.

At 37 minutes into this video Elon Musk talks about high potential technology like Hyperloop which he currently does not have time to address electric aircraftgenetics is thorny but is our best shot at many tough diseasesbrain computer interfaces at the neuron level has potential for intelligence augmentationNeural Lace was mentioned.

Scientists from China and the US have found a pioneering way to inject a tiny electronic mesh sensor into the brain that fully integrates with cerebral matter and enables computers to monitor brain activity.

Continue reading “Elon Musk identifies electric aircraft, genetics and neuron scale brain computer interfaces as high potential technologies” »

Could the FDA crush IoT opportunities in Healthcare?

The U.S. Food and Drug Administration last week took a step toward addressing the threat the Internet of Things poses to patients and their data by releasing some proposed guidelines for managing cybersecurity in medical devices.

“A growing number of medical devices are designed to be networked to facilitate patient care. Networked medical devices, like other networked computer systems, incorporate software that may be vulnerable to cybersecurity threats,” the FDA says in its proposal.

Continue reading “FDA Guidelines Target IoT Medical Device Security” »

The game of Go has long been viewed as the most challenging of classic games for artificial intelligence due to its enormous search space and the difficulty of evaluating board positions and moves.

Google DeepMind introduced a new approach to computer Go with their program, AlphaGo, that uses value networks to evaluate board positions and policy networks to select moves. These deep neural networks are trained by a novel combination of supervised learning from human expert games, and reinforcement learning from games of self-play. Without any lookahead search, the neural networks play Go at the level of state-of-the-art Monte-Carlo tree search programs that simulate thousands of random games of self-play. DeepMind also introduce a new search algorithm that combines Monte-Carlo simulation with value and policy networks. Using this search algorithm, our program AlphaGo achieved a 99.8% winning rate against other Go programs, and defeated the European Go champion by 5 games to 0. This is the first time that a computer program has defeated a human professional player in the full-sized game of Go, a feat previously thought to be at least a decade away.

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