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Archive for the ‘computing’ category: Page 789

Apr 26, 2016

Scott Aaronson Answers Every Ridiculously Big Question I Throw at Him

Posted by in categories: computing, neuroscience, quantum physics, singularity

Quantum-computer whiz riffs on simulated universes, the Singularity, unified theories, P/NP, the mind-body problem, free will, why there’s something rather than nothing, and more.

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Apr 26, 2016

Google Glass to ‘rehumanise’ doctor-patient relationship

Posted by in categories: biotech/medical, business, computing, health

Using Google Glass, Augmedix has developed a platform for doctors to collect, update and recall patient and other medical data in real time, technology website TechCrunch reported on Tuesday.

Google Glass is no longer available for consumers but its enterprise business continues to rise especially in the health care sector.

“When you are with doctors without Glass, they are charting and clicking on computers for a lot of the time and not focusing on their patients,” Ian Shakil, CEO of Augmedix was quoted as saying.

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Apr 26, 2016

Building the Foundation of the Cognitive Computing Era

Posted by in categories: computing, quantum physics, robotics/AI

For almost a year I have shared how Quantum technology will take AI to a new level. This article highlights the benefits of Quantum in AI.


Scott Crowder of IBM discusses the technologies and data infrastructure that will be required to drive the cognitive computing and artificial intelligence systems of the near future.

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Apr 26, 2016

Hi-res nanoparticle maps reveal best shape for batteries

Posted by in categories: biological, computing, nanotechnology, particle physics

Many recent big technological advances in computing, communications, energy, and biology have relied on nanoparticles. It can be hard to determine the best nanomaterials for these applications, however, because observing nanoparticles in action requires high spatial resolution in “messy,” dynamic environments.

In a recent step in this direction, a team of engineers has obtained a first look inside phase-changing nanoparticles, showing how their shape and crystallinity—the arrangement of atoms within the crystal—can have dramatic effects on their performance.

The work, which appears in Nature Materials, has immediate applications in the design of energy storage materials, but could eventually find its way into data storage, electronic switches, and any device in which the phase transformation of a material regulates its performance.

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Apr 26, 2016

Want a career in artificial intelligence? Here’s a guide

Posted by in categories: computing, employment, information science, robotics/AI

Good article overall highlighting the gaps in AI talent. I do know that some of the best AI SMEs in the US all have worked somewhere in their careers at the US National Labs because many us had to build “real time” systems that leveraged complex algorithms to self-monitor conditions and react independently under certain conditions arise and in some cases we leveraged the super computer to prove theories as well. I suggest locate where some of these folks exist because you will find your talent pool.


Artificial Intelligence is the field where jobs continue to grow, provided you have the desired skill sets

Diksha Gupta, Techgig.com

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Apr 26, 2016

Europe’s billion Euro bet on quantum computing

Posted by in categories: computing, neuroscience, quantum physics, space travel

Nice


Quantum computers have been hailed for their revolutionary potential in everything from space exploration to cancer treatment, so it might not come as a surprise that Europe is betting big on the ultra-powerful machines.

A new €1 billion ($1.13 billion) project has been announced by the European Commission aimed at developing quantum technologies over the next 10 years and placing Europe at the forefront of “the second quantum revolution.”

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Apr 26, 2016

Superfast light source made from artificial atom

Posted by in categories: computing, particle physics, quantum physics

A new method to create light while retaining the energy using Q-Dot technology.


All light sources work by absorbing energy – for example, from an electric current – and emit energy as light. But the energy can also be lost as heat and it is therefore important that the light sources emit the light as quickly as possible, before the energy is lost as heat. Superfast light sources can be used, for example, in laser lights, LED lights and in single-photon light sources for quantum technology. New research results from the Niels Bohr Institute show that light sources can be made much faster by using a principle that was predicted theoretically in 1954. The results are published in the scientific journal, Physical Review Letters.

Researchers at the Niels Bohr Institute are working with quantum dots, which are a kind of artificial atom that can be incorporated into optical chips. In a quantum dot, an electron can be excited (i.e. jump up), for example, by shining a light on it with a laser and the electron leaves a ‘hole’. The stronger the interaction between light and matter, the faster the electron decays back into the hole and the faster the light is emitted.

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Apr 26, 2016

New Advancements in Optical and Quantum Computing

Posted by in categories: computing, quantum physics

Making Technology and Science Popular.

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Apr 25, 2016

Reliability of material simulations put to test

Posted by in categories: computing, quantum physics

Change is good; looks like we’re about to re-review some existing simulation codes around Quantum Mechanic Simulation.


Researchers show that new generations of quantum mechanical simulation codes agree better than earlier generations’. The study appears in Science.

Several international scientists from over 30 universities and institutes teamed to investigate to what extent quantum simulations of material properties agree when they are performed by different researchers and with different software. Torbjörn Björkman from Åbo Akademi participated from Finland. Björkman has previously worked at COMP Centre of Excellende at Aalto University. “A group of researchers compared the codes, and the results we got were more precise than in any other calculations before,” he said.

The possibility to produce identical results in independent yet identical researches is a corner stone of science. Only in this way science can identify ‘laws’, which lead to new insights and new technologies. However, several recent studies have pointed out that such reproducibility does not always come spontaneously. Even predictions by computer codes require caution, since the way in which theoretical models are implemented may affect simulation results.

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Apr 25, 2016

New Tools for Human-Machine Collaborative Design

Posted by in categories: computing, information science

Nice; taking design and manufacturing to new levels.


Advanced materials are increasingly embodying counterintuitive properties, such as extreme strength and super lightness, while additive manufacturing and other new technologies are vastly improving the ability to fashion these novel materials into shapes that would previously have been extremely costly or even impossible to create. Generating new designs that fully exploit these properties, however, has proven extremely challenging. Conventional design technologies, representations, and algorithms are inherently constrained by outdated presumptions about material properties and manufacturing methods. As a result, today’s design technologies are simply not able to bring to fruition the enormous level of physical detail and complexity made possible with cutting-edge manufacturing capabilities and materials.

To address this mismatch, DARPA today announced its TRAnsformative DESign (TRADES) program. TRADES is a fundamental research effort to develop new mathematics and algorithms that can more fully take advantage of the almost boundless design space that has been enabled by new materials and fabrication methods.

“The structural and functional complexities introduced by today’s advanced materials and manufacturing methods have exceeded our capacity to simultaneously optimize all the variables involved,” said Jan Vandenbrande, DARPA program manager. “We have reached the fundamental limits of what our computer-aided design tools and processes can handle, and need revolutionary new tools that can take requirements from a human designer and propose radically new concepts, shapes and structures that would likely never be conceived by even our best design programs today, much less by a human alone.”

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