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Stunning Photos Of Mars From The Curiosity Rover

Forbes - Tech

This self-portrait of NASA's Mars rover Curiosity combines dozens of exposures taken by the rover's Mars Hand Lens Imager (MAHLI) during the 177th Martian day, or sol, of Curiosity's work on Mars (Feb. The rover is positioned at a patch of flat outcrop called "John Klein," which was selected as the site for the first rock-drilling activities by Curiosity. The self-portrait was acquired to document the drilling site. The rover's robotic arm is not visible in the mosaic. MAHLI, which took the component images for this mosaic, is mounted on a turret at the end of the arm.


Singularity University: meet the people who are building our future

The Guardian

It's day one at the Singularity University: the opening address has just been delivered by a hologram. Craig Venter, who was one of the first scientists to sequence the human genome and created the first synthetic life form, is up next. And later, we will see two people, paralysed from the waist down, use robotic exoskeletons to rise up and walk. But first, the co-founder of the Singularity University, Peter Diamandis, gives us our instructions for the day. Your task, he says, is to pick one of the "grand challenges of humanity" โ€“ the lack of clean drinking water, say. And then come up with an idea that "can positively impact the lives of a billion people". Some of us haven't even had coffee yet. There's about 50 of us present and the room has been divided up into tables, one for education, another for poverty, another for water, and I'm not sure where I should sit. Diane Murphy, the university's PR executive, hesitates for a moment and then directs me over to the table marked "food". "Tell you what," she says.


IntelliFlux Artificial Intelligence-Based Control System from Water Planet Powers Demonstrations

#artificialintelligence

The project, which is being done with Sweetwater Tech Resources, utilizes Water Planet's IMS-5000 Integrated Produced Water Treatment Solution powered by IntelliFlux. The IMS-5000 technology used in the pilot is an integrated mechanical and membrane filtration system that incorporates ceramic membranes to filter the water. It was developed to perform in oil & gas produced water treatment, one of the most challenging water treatment applications on the planet. As part of the project, Water Planet is also running a standard reverse osmosis unit to desalt the brackish water that is left after treatment by the ceramic ultrafiltration membranes. "We are currently running a series of demonstrations using a range of waters provided by a consortium of California oil producers to evaluate treating produced water for potential use in agricultural irrigation.


Humans: The New Supercomputer

#artificialintelligence

A computer can probably beat you at chess and no one goes anywhere without a GPS. Transhumanist prophet Ray Kurzweil says we will ascend into being computers in a few years (though he also claims solar power will out-produce fossil fuels in a decade, so use caution when he is selling books) but some think it's the other way around, and that humans will instead be the ultimate supercomputers. Danish physicist Jacob Sherson, writing about his beliefs in Nature, said, "It may sound dramatic, but we are currently in a race with technology -- and steadily being overtaken in many areas. Features that used to be uniquely human are fully captured by contemporary algorithms. Our results are here to demonstrate that there is still a difference between the abilities of a man and a machine."


Learning to live with robots - raconteur.net

#artificialintelligence

It is hard to think of the words "artificial intelligence" without conjuring up Doomsday images of The Matrix and The Terminator where man and highly intelligent machine are pitched into battle. Even a step further back from that science-fiction precipice conflates the term with massive job losses and the eventual irrelevance โ€“ or liberation โ€“ of humankind from labour as we know it. Artificial intelligence or AI is, of course, all around us already in obvious ways โ€“ Apple's voice recognition service Siri or Google's increasingly reliable search results โ€“ or in more obscure ones such as better weather forecasting and lower levels of spam e-mail in your inbox. There is nothing new about the concept of AI which started to gain traction in the 1950s when Alan Turing explored the notion of machines that could think. J.C.R. Licklider's paper Man-Computer Symbiosis from 1960 may have sounded like something penned by sci-fi writer Philip K. Dick, but was instead a formative paper on how the world would move beyond programmable computers to one where computers "facilitate formative thinking".


Probabilistic Receiver Architecture Combining BP, MF, and EP for Multi-Signal Detection

arXiv.org Machine Learning

Receiver algorithms which combine belief propagation (BP) with the mean field (MF) approximation are well-suited for inference of both continuous and discrete random variables. In wireless scenarios involving detection of multiple signals, the standard construction of the combined BP-MF framework includes the equalization or multi-user detection functions within the MF subgraph. In this paper, we show that the MF approximation is not particularly effective for multi-signal detection. We develop a new factor graph construction for application of the BP-MF framework to problems involving the detection of multiple signals. We then develop a low-complexity variant to the proposed construction in which Gaussian BP is applied to the equalization factors. In this case, the factor graph of the joint probability distribution is divided into three subgraphs: (i) a MF subgraph comprised of the observation factors and channel estimation, (ii) a Gaussian BP subgraph which is applied to multi-signal detection, and (iii) a discrete BP subgraph which is applied to demodulation and decoding. Expectation propagation is used to approximate discrete distributions with a Gaussian distribution and links the discrete BP and Gaussian BP subgraphs. The result is a probabilistic receiver architecture with strong theoretical justification which can be applied to multi-signal detection.


Tokyo stocks fall back, hit by selling on rally

The Japan Times

Stocks turned lower on the Tokyo Stock Exchange Friday, pressured by selling on a rally after the recent sharp advance. The 225-issue Nikkei average lost 63.02 points, or 0.37 percent, to end at 16,848.03. On Thursday, the key market gauge jumped 529.83 points to a two-week high. The Topix index of all first-section issues finished down 9.95 points, or 0.73 percent, at 1,361.40, after advancing 38.91 points the previous day. Tokyo stocks got off to a weaker start after the Nikkei average shot up more than 1,100 points, or over 7 percent, during the previous three days.


Machine Learning, Deep Learning & AI in Oil and Gas

#artificialintelligence

In the low oil price environment, oil and gas operators need to reduce costs and boost operational efficiency through the efficient and effective use of data. Companies are investing in predictive technology to become more productive โ€“ and to be ready for the inevitable increase in barrel prices. Artificial Intelligence and Machine Learning have enabled operators to augment human capabilities โ€“ to automate processes and gain previously unobtainable outcomes. With massive amounts of computational power, machines can now analyze large sets of data points and apply relationship modeling in a predictive way and in real time. Big Data technology has the potential to leverage machine learning capabilities enabling accurate and real time decision making improving overall operating efficiency and reducing unnecessary cost.


A Convoy Of Autonomous Trucks Successfully Complete Journey Across Europe

#artificialintelligence

The Netherlands started the experiment to find ways to save fuel and lower carbon emissions. Two trucks traveling 160,000 kilometers (100,000 miles) could save 6,000 (approximately 6800 USD).


Artificial Intelligence in education--imagining and building tomorrow's cyber learning platform today

#artificialintelligence

"Advanced cyberlearning environments that involve Virtual Reality and Artificial Intelligence innovations are becoming powerful tools that can facilitate the explorations and conversations needed to solve society's "wicked challenges," said Winslow Burleson, PhD, MSE, an engineer by training and currently associate professor, New York University Rory Meyers College of Nursing. The researchers posit that the use of technology, specifically a bundled and ever-evolving fluid set of integrated cyber tools, will connect disparate groups and individuals, converging them in both a real and an imagined cyber-social-physical environment, called the Holodeck, that Burleson's NYU-X Lab is currently advancing in prototype form, in close collaboration with colleagues at NYU Courant, Tandon, Steinhardt, and Tisch, "The "Holodeck" will support a broad range of transdisciplinary collaborations, integrated education, research, and innovation by providing a networked software/hardware infrastructure that can synthesize visual, audio, physical, social, and societal components," said Burleson. NYU-X Lab's Holodeck prototype harnesses the collective power of shared computation, integrated distributed data, immersive visualization, and social interaction to make possible large-scale synthesis of learning, research, and innovation, that will dramatically accelerate the Rittel and Webber iterative mode of problem solving. The goal is to create a networked infrastructure and communication environment where "wicked challenges" can be iteratively explored and re-solved, utilizing visual, acoustic, and physical sensory feedback, human dynamics with and social collaboration.