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Category: computing

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 30th 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.

Researchers from Harvard and the National Center for Nanoscience and Technology in Beijing have succeeded in inventing a flexible electrical circuit that fits inside a 0.1mm-diameter glass syringe in a water-based solution.

This tiny electronic mesh sensor is thin and flexible enough to be injected into the brain and gentle enough to integrate fully with brain cells, making human cyborgs a possibilityLieber Research Group, Harvard University

When injected into the brains of mice, the mesh unfurled to 30 times its size and mouse brain cells grew around the mesh, forming connections with the wires in the flexible mesh circuit. The biochemical mouse brain completely accepted the mechanical component and integrated with it without any damage being caused to the mouse.

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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.

“The exploitation of vulnerabilities may represent a risk to the safety and effectiveness of medical devices and typically requires continual maintenance throughout the product life cycle to assure an adequate degree of protection against such exploits,” the agency notes.

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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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Researchers at Harvard are working to identify the brain processes that make humans so good at recognising patterns. Their ultimate goals is to develop biologically-inspired computer systems for smarter AI. Computers inspired by the human brain could be used to detect network invasions, read MRI images, and even drive cars.

Their ultimate goals is to develop biologically-inspired computer systems for smarter AI.

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An experiment by University of Washington researchers is setting the stage for advances in mind reading technology. Using brain implants and sophisticated software, researchers can now predict what their subjects are seeing with startling speed and accuracy.

The ability to view a two-dimensional image on a page or computer screen, and then transform that image into something our minds can immediately recognize, is a neurological process that remains mysterious to scientists. To learn more about how our brains perform this task—and to see if computers can collect and predict what a person is seeing in real time—a research team led by University of Washington neuroscientist Rajesh Rao and neurosurgeon Jeff Ojermann demonstrated that it’s possible to decode human brain signals at nearly the speed of perception. The details of their work can be found in a new paper in PLOS Computational Biology.

The team sought the assistance of seven patients undergoing treatment for epilepsy. Medications weren’t helping alleviate their seizures, so these patients were given temporary brain implants, and electrodes were used to pinpoint the focal points of their seizures. The UW researchers saw this as an opportunity to perform their experiment. “They were going to get the electrodes no matter what,” noted Ojermann in a UW NewsBeat article. “We were just giving them additional tasks to do during their hospital stay while they are otherwise just waiting around.”

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When the consumers (who happen to be your primary customer) of your product doesn’t seem to be fully aware of your product; then you have indeed a broken product marketing and launch awareness program. And, if industry is also part of that picture; you may have an even bigger challenge.

After our latest US consumer research in October 2015, we wanted to find out if the trends we were seeing in the survey data held for a larger, more international pool. In December, we surveyed over 1,000 respondents throughout the United Kingdom about their awareness of virtual reality, interest in purchasing headsets and trying applications, and their concerns.

With everyone from Facebook’s Mark Zuckerberg to analysts at Goldman Sachs boldly claiming VR as the next computing platform, we believe it is critical strategic decision makers — product managers, marketers, and investors alike — better understand the industry’s potential early adopters and what they really want from our industry.

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Finally, folks are getting the real picture around re-tooling and retraining folks for new jobs in an oncoming AI future. In my posts; I have highlighted the need for governments and businesses to retrain people as well as ensure that their is some level of funding established to assist displaced workers, and especially as we see the maturity of Quantum in the AI space this will definitely be a must.

Untitled“If every tool, when ordered, or even of its own accord, could do the work that befits it… then there would be no need either of apprentices for the master workers or of slaves for the lords.” – Aristotle.

Humans have such a love/hate relationship with technology that it’s almost comical. All of our own creation, once we’ve perfected amazing innovations, we often turn on them–when convenient. As the PC became common and marketed toward the masses in the 80s, a new world of automation, both good and bad, was predicted. As mad scientists tucked away in secret, underground labs began creating evil robots in a slew of sci-fi movies that we consumed greedily, along with becoming affectionate toward machines like C-3P0 and R2-D2 just birthed in what would be a continuing pop subculture with a momentum of its own, our imaginations ran wild. Fearmongers cited that automation would make many jobs obsolete; robots would begin doing what was left as an economic apocalypse ensued for the human race.

In truth, the birth of the computer created a huge industry of jobs, from manufacturing and maintenance to advanced software engineering and entire IT departments. And although it’s been predicted through the ages that robots would begin doing all of our tasks, how many of us are actually employing robots in the home or office–and how many people do you know who lost their jobs because it was given to a humanoid instead? Probably none. But still, yes, there are whispers saying that may change one day soon. And while we’ve all heard that talk for decades past, it is undeniable that innovation on nearly every level has been accelerated recently, and is predicted to continue as 3D printing, artificial intelligence, and robotics evolve–just as a few examples.

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