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Archive for the ‘information science’ category: Page 297

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 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 Conventional design technologies, representations, and algorithms are inherently constrained by outdated presumptions about material properties and manufacturing methods.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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Apr 25, 2016

AI Helps Scientists Develop Anti-Poaching System

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

A team of computer scientists from the University of Southern California (USC) have been successful in developing a new method to alleviate wildlife poaching. The National Science Foundation (NSF) funded the project that has created a model for ‘green security games’.

This model is based on game theory to safeguard wildlife from poachers. Game theory involves predicting the actions of enemy using mathematical equations and subsequently formulating the best possible restrain moves. This model will enable more efficient patrolling of parks and wildlife by park rangers.

An artificial intelligence (AI) application, known as Protection Assistant for Wildlife Sanctuary (PAWS) was developed by Fei Fang, a Ph.D. candidate in the computer science department at USC and Milind Tambe, a professor of computer science and systems engineering at USC, in 2013. The team has since then spent a couple of years to test the effectiveness of the application in Uganda and Malaysia.

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Apr 25, 2016

Thinking Outside the Brain – Why We Need to Build a Decentralized Exocortex

Posted by in categories: information science, neuroscience, Ray Kurzweil

What the bleep is an exocortex and why should we care?

Ray Kurzweil

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Apr 23, 2016

Data Compression Used to Detect Quantum Entanglement

Posted by in categories: information science, particle physics, quantum physics

Interesting — data compression algorithm can be applied to detect Quantum Entanglement.


The next time you archive some files and compress them, you might think about the process a little differently. Researchers at the National University of Singapore have discovered a common compression algorithm can be used to detect quantum entanglement. What makes this discovery so interesting is that it does not rely on heavily on an assumption that the measured particles are independent and identically distributed.

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Apr 22, 2016

Faster Than Light! Incredible Illusion Makes Images ‘Time Travel’

Posted by in categories: information science, particle physics, time travel

Using a weird phenomenon in which particles of light seem to travel at faster-than-light speeds, scientists have shown that waves of light can seem to travel backward in time.

The new experiment also shows other bizarre effects of light, such as pairs of images forming and annihilating each other.

Taken together, the results finally prove a century-old prediction made by British scientist and polymath Lord Rayleigh. The phenomenon, called time reversal, could allow researchers to develop ultra-high-speed cameras that can peer around corners and see through walls. [In Images: The World’s 11 Most Beautiful Equations].

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Apr 22, 2016

Breathtaking Visualization of the Universe Will Make You Feel Like an Ant

Posted by in categories: information science, neuroscience, space

Ever notice how maps of the large structures of the Universe look like maps of the brain or a Pollock painting?


On the grandest scale, our universe is a network of galaxies tied together by the force of gravity. Cosmic Web, a new effort led by cosmologists and designers at Northeastern’s Center for Complex Network Research, offers a roadmap toward understanding how all of those tremendous clusters of stars connect—and the visualizations are stunning.

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Apr 18, 2016

Artificial Intelligence’s Ultimate Challenge? Cyber Attacks

Posted by in categories: cybercrime/malcode, information science, quantum physics, robotics/AI

AI is hackable as long as it’s underpinning technology is still supported on legacy platform technology and connected to a legacy infrastructure. Only when the underpinning technology & net infrastructure is updated to Quantum will we see a secured AI environment.


At MIT, machine learning specialists are training deep learning algorithms to spot cyber attacks. It may be AI’s ultimate test.

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Apr 13, 2016

Are Humans the New Supercomputer?

Posted by in categories: information science, neuroscience, quantum physics, robotics/AI, supercomputing

Newswise — The saying of philosopher René Descartes of what makes humans unique is beginning to sound hollow. ‘I think — therefore soon I am obsolete’ seems more appropriate. When a computer routinely beats us at chess and we can barely navigate without the help of a GPS, have we outlived our place in the world? Not quite. Welcome to the front line of research in cognitive skills, quantum computers and gaming.

Today there is an on-going battle between man and machine. While genuine machine consciousness is still years into the future, we are beginning to see computers make choices that previously demanded a human’s input. Recently, the world held its breath as Google’s algorithm AlphaGo beat a professional player in the game Go—an achievement demonstrating the explosive speed of development in machine capabilities.

But we are not beaten yet — human skills are still superior in some areas. This is one of the conclusions of a recent study by Danish physicist Jacob Sherson, published in the prestigious science journal Nature.

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Apr 12, 2016

NASA funds Direct Drive Fusion Propulsion

Posted by in categories: energy, information science, physics, space travel

The Direct Fusion Drive (DFD) concept provides game-changing propulsion and power capabilities that would revolutionize interplanetary travel. DFD is based on the Princeton Field-Reversed Configuration (PFRC) fusion reactor under development at the Princeton Plasma Physics Laboratory. The mission context we are proposing is delivery of a Pluto orbiter with a lander. The key objective of the proposal is to determine the feasibility of the proposed Pluto spacecraft using improved engine models. DFD provides high thrust to allow for reasonable transit times to Pluto while delivering substantial mass to orbit: 1000 kg delivered in 4 to 6 years. Since DFD provides power as well as propulsion in one integrated device, it will also provide as much as 2 MW of power to the payloads upon arrival. This enables high-bandwidth communication, powering of the lander from orbit, and radically expanded options for instrument design. The data acquired by New Horizons’ recent Pluto flyby is just a tiny fraction of the scientific data that could be generated from an orbiter and lander. We have evaluated the Pluto mission concept using the Lambert algorithm for maneuvers with rough estimates of the engine thrust and power. The acceleration times are sufficiently short for the Lambert approximation, i.e. impulsive burns, to have some validity. We have used fusion scaling laws to estimate the total mission mass and show that it would fit within the envelope of a Delta IV Heavy launch vehicle. Estimates of the amount of Helium 3 required to fuel the reactor are within available terrestrial stores.

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