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Category: computing

This video is worthless. I hear a person who is out of touch with the QC work and isn’t even aware all of the work going on. Frankly, QC is being worked on by big tech (Amazon, Google, Microsoft, D-Wave, IBM), governmental labs and incubators, limited set of start ups who are also (in many cases tied to big tech), and university research labs. Therefore, I don’t really find this soapbox video that informative as well as not in touch with where QC is today. It appears to me that this guy has sour grapes over not being engaged.

At least if you’re going to get on a soapbox and try to talk about QC like you’re somehow an expert or informed; at least make sure you know what has been shown, reported, and in development currently that has been publically announced so that you don’t look like you’re an un-informed consultant doing a superficial presentation and didn’t even bother doing the due diligence 1st. Otherwise, you just discredited your VC/ firm to the public and to those working on QC.

watch time: 28 minutes

One of the key insights that legendary physicist and Nobel Prize laureate Richard Feynman had was that quantum mechanics (the branch of physics that deals with subatomic particles, uncertainty principle, and many other concepts beyond classic physics) is just way too complicated to simulate using traditional computers.

Nature, of course, can handle these complex calculations — computers however can’t do those same calculations (or would take a prohibitively long time and amount of resources to do so). But this isn’t just about being able to do more with computers in a faster (or smaller) way: It’s about solving problems that we couldn’t solve with traditional computers; it’s about a difference of kind not just degree.

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Nice.

Quantum computing makes small, but significant progress.

A high-energy physics experiment has been completed using a simple quantum device that, if scaled up, could potentially greatly outperform a conventional computer.

Physicists from the Institute for Quantum Optics and Quantum Information at the Austrian Academy of Sciences have used the quantum computer to simulate the spontaneous creation of particle-antiparticle pairs.

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It would seem that no one’s immune from the effects imposed by our increasingly sophisticated artificial intelligence and robotics — not even doctors. As research from Indiana University has revealed, a new computer program is doing a better job than doctors when it comes to both diagnosing and treating health conditions — and by a significant margin.

The system, which uses decision making processes similar to the Jeopardy-bot, Watson, was recently given the task of analyzing and predicting the health outcomes of 500 real individuals. After plugging in the relevant data — which mostly had to do with clinical depression and chronic diseases like high blood pressure and diabetes — researchers Kris Hauser and Casey Bennett compared the outcomes to the simulated treatment prescriptions.

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A transistor, conceived of in digital terms, has two states: on and off, which can represent the 1s and 0s of binary arithmetic.

But in terms, the transistor has an infinite number of states, which could, in principle, represent an infinite range of mathematical values. Digital computing, for all its advantages, leaves most of transistors’ informational capacity on the table.

In recent years, analog computers have proven to be much more efficient at simulating biological systems than digital computers. But existing analog computers have to be programmed by hand, a complex process that would be prohibitively time consuming for large-scale simulations.

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Power consumption is one of the biggest reasons why you haven’t seen a brain-like computer beyond the lab: the artificial synapses you’d need tend to draw much more power than the real thing. Thankfully, realistic energy use is no longer an unattainable dream. Researchers have built nanowire synapses that consume just 1.23 femtojoules of power — for reference, a real neuron uses 10 femtojoules. They achieve that extremely low demand by using a wrap of two organic materials to release and trap ions, much like real nerve fibers.

There’s a lot of work to be done before this is practical. The scientists want to shrink their nanowires down from 200 nanometers thick to a few dozen, and they’d need new 3D printing techniques to create structures that more closely imitate real brains. Nonetheless, the concept of computers with brain-level complexity is that much more realistic — the team tells Scientific American that it could see applications in everything from smarter robots and self-driving cars through to advanced medical diagnosis.

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IBM and marketing company The Drum just announced that the AI Watson was able to edit an entire magazine on its own. This showcases the computing potential that AI has in an increasing number of fields.

IBM and a marketing company called The Drum just announced that the AI system known as Watson was able to edit an entire magazine on its own. Yep, an AI magazine editor.

According to a statement released via The Drum, the magazine edited by Watson contains different features that shows Watson’s capabilities. It has different analytical functions, as well as skills necessary to assist modern-day marketers. Also, Watson has been programmed to have the capacity to answer a series of questions about David Olgivy, the “advertising legend,” and was able to give some predictions for the winners of this year’s Cannes Lions awards.

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Glad to see others finding value in using Q-Dots with Graphene.

The development of photodetectors has been a matter of considerable interest in the past decades since their applications are essential to many different fields including cameras, medical devices, safety equipment, optical communication devices or even surveying instruments, among others.

Many efforts have been focused towards optoelectronic research in trying to create low cost photodetectors with high sensitivity, high quantum efficiency, high gain and fast photoresponse. This is of paramount importance especially in the short wave infrared which currently is addressed by very expensive III-V InGaAs photodetectors. The development of two main classes of photodetectors, photodiodes and phototransistors, have partially been able to accomplish these goals because even though they both have many outstanding properties, none seem to fulfill all of these requirements. While photodiodes are much faster than phototransistors, phototransistors have a higher gain and do not require low noise preamplifiers for their use.

To overcome these limitations, ICFO researchers Ivan Nikitskiy, Stijn Goossens, Dominik Kufer, Tania Lasanta, Gabriele Navickaite, led by ICREA professors at ICFO Frank Koppens and Gerasimos Konstantatos, have been able to develop a hybrid photodetector capable of attaining concomitantly better performance features in terms of speed, quantum efficiency and linear dynamic range, operating not only in the visible but also in the near infrared (NIR: 700-1400nm) and SWIR range (1400-3000nm). At the same time this technology is based upon materials that can be monolithically integrated with Si CMOS electronics as well as flexible electronic platforms. The results of this work have been recently published in Nature Communications.

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My new Psychology Today story on BREXIT and the EU:

Scientific innovation doesn’t just happen on its own. It takes stable economies, free societies, and open-minded governments. The best environment for science to thrive in is that of collaborating groups incentivized to communicate and cooperate with one another. This is precisely what the European Union is.

And now, more than ever, the union of Europe is needed—because we are crossing over into the transhumanist age, where radical science and technology will engulf our lives and challenge our institutions. Robots will take 75% of the jobs in the next 25 years. CRISPR gene editing technology will allow us to augment our intelligence, perhaps doubling our IQ. Bionic organs will stave off death, allowing 200 year lifespans.

The science and technology coming in just the next two decades will cause unprecedented challenges to humanity. Most of the world will get chip implants— I have one —to assist with quick payments, emergency tracking, and to replace archaic accessories like car keys. We’ll also all use genetic therapies to cure cancer, heart disease, Alzheimer’s, and even aging. And robots will be ubiquitous—driving us everywhere, homeschooling our children, and maybe even becoming preferred sexual partners.

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(Phys.org)—Inspired by natural selection and the concept of “survival of the fittest,” genetic algorithms are flexible optimization techniques that can find the best solution to a problem by repeatedly selecting for and breeding ever “fitter” generations of solutions.

Now for the first time, researchers Urtzi Las Heras et al. at the University of the Basque Country in Bilbao, Spain, have applied genetic algorithms to digital and shown that genetic algorithms can reduce quantum errors, and may even outperform existing optimization techniques. The research, which is published in a recent issue of Physical Review Letters, was led by Ikerbasque Prof. Enrique Solano and Dr. Mikel Sanz in the QUTIS group.

In general, quantum simulations can provide a clearer picture of the dynamics of systems that are impossible to understand using conventional computers due to their high degree of complexity. Whereas computers calculate the behavior of these systems, quantum simulations approximate or “simulate” the behavior.

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Forget pitching a tent when camping; soon (at this rate) we can have the 3D Printer print us a cabin.

A tiny house was built using Vesta, the 3D concrete printer. It took 24 hours to build the structure. The developer aims to shorten the construction time with the third version of the device.

Vesta, the 3D concrete printer, was just used to print a house. Though the word “house” may be a little suspect. Admittedly, given its size, the structure is more of a tool shed than a home, but one could theoretically live inside of it.

The structure took 24 hours to print and boasts a 2 x 1 square meter (7 x 4 square feet) interior. The printer is able to work at a speed of about .3 feet per second and only requires a single person to operate from a computer and feed the printer concrete.

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