Given an undirected graph G (V, E) with V a set of vertices and E a set of edges, graph vertex coloring involves assigning each vertex with a color so that two adjacent vertices (linked by an edge) feature different colors. The Graph Vertex Coloring Problem (GVCP) consists in finding the minimum number of colors, called chromatic number χ(G), required to color the graph G while respecting these binary constraints. The GVCP is a well-documented and much-studied problem because this simple formalization can be applied to various issues such as frequency assignment problems [1, 2], scheduling problems [3, 4, 5] and flight level allocation problems [6, 7]. Most problems that involve sharing a rare resource (colors) between different operators (vertices) can be modeled as a GVCP.

December 14, 2016 – New York & London – DataArt, a leading global technology consultancy, predicts that 2017 will be a year of integration, disruption and transformation due in large part to the digitalization of key industry sectors. Cyber security and data protection will become major board-level concerns as financial institutions realize that failing to protect customer information will be their biggest source of regulatory non-compliance and reputational risk. Organizations will invest heavily in correcting technology vulnerabilities, lax cultures and poor processes. As a result, data management in all its forms will dominate 2017. Rapid digitalization of customer-facing services will be a matter of organizational life and death as e-commerce and fintech elevate expectations for the optimal user experience (UX).

Microsoft has taken some inspiration from Star Trek. The company announced Tuesday a program called Microsoft Translator that listens to someone, transcribes what they've said, and then shares the translated text with their audience. The system is kind of like the universal translator from the most (or second-most, depending on who you ask) influential sci-fi series. It even speaks Klingon -- Microsoft Translate supports 60 languages for speech-to-text translation, and the one used by an alien species is apparently one of them. Microsoft said that its translator can work with up to 100 people at once, even if they're split between multiple languages, just as well as it can facilitate communications between two people.

Episode Summary: Accenture is a leading global professional services company in the tech space, providing services to many of the Fortune 500 and their global equivalents. The company recently conducted a study, combined with expertise from economists and AI researchers, about the longer-term economic impact of artificial intelligence around the world. In this episode, I spoke with Chief Technology Officer Paul Daugherty, who has been with Accenture since 1986, and who was joined by Global Technology R&D Lead Marc Carrel-Billiard. We met up at a coffee shop after an AI Summit in San Francisco, and I asked Paul and Marc about what they had learned from this newly-published study and what they consider to be the significant impacts of *AI and automation on the future job market. Brief Recognition: Paul Daugherty is Accenture's CTO and leads the company's Technology Innovation & Ecosystem group.

Many people have found the table above to be useful for understanding two conceptual distinctions in the practice of data analysis. The article that discusses the table, and many other issues, is now in press. The in-press version can be found at OSF and at SSRN. Abstract: In the practice of data analysis, there is a conceptual distinction between hypothesis testing, on the one hand, and estimation with quantified uncertainty, on the other hand. Among frequentists in psychology a shift of emphasis from hypothesis testing to estimation has been dubbed "the New Statistics" (Cumming, 2014).

I discuss here off-the-beaten-path beautiful, even spectacular results from number theory: not just about prime numbers, but also about related problems such as integers that are sum of two squares. The connection between these numbers and prime numbers will appear later in this article. A few important unsolved mathematical conjectures are presented in a unified approach, and some new research material is also introduced, especially an attempt at generalizing and unifying concepts related to data set density and limiting distributions. The approach is very applied, focusing on algorithms, simulations, and big data, to help discover fascinating results. Even though some of the most exciting topics of mathematics are discussed here (including fundamental, century-old problems still unresolved as well as brand new hypotheses), most of the article can be understood by the layman. Among other things, you will learn some new ways to estimate Pi based on non-traditional experiments, or how a conjecture for prime numbers somehow generalizes to apply to Fibonacci numbers as well.

ARM servers are devalued partly because many applications don't work with the chips. But ARM has acquired Allinea Software with the hope of partially resolving the compatibility issue. Allinea provides software development, debugging, and porting tools, which should make it easier for people to write applications for ARM-based servers and supercomputers. The acquisition will "provide a channel to thousands of developers using supercomputers and give us better first-hand knowledge of the issues being addressed as software is ported to new ARM-based systems," Javier Orensanz, general manager of the development solutions group at ARM, said in a blog entry. The development tools will also be used for ARM chips in deep-learning systems, which require large-scale server deployments for analytics. ARM's competition will come from deep-learning and HPC software tools offered by Intel, Nvidia, Google, Microsoft, and more recently, AMD.

Both Machine Learning and Artificial Intelligence has become poplar topics in the tech world recently. With the uprise of products using either Machine Learning or Artificial Intelligence, or both, there's bound to be more jobs popping up for people with those qualifications. Which makes this bundle pretty important. And right now we are offering up The Machine Learning and Artificial Intelligence Bundle for just $39, that's 91% off of the regular price, making it a great time to pick up this bundle. There are four courses included in this bundle, each are typically $120.

Technology is really a marvel. So often, as new advances come out that allow us to do things that were thought impossible in the past, we hear the phrase "The future is now." Popular Science and XPRIZE are teaming up to explore and explain technologies like these in a video series called Future First. Episode thirteen of Future First is titled "Brain Hacking With Video Games." In it, we take a look at how new technologies--including virtual reality--help us to track activity within the human brain in real time, how different experiences affect different parts of the brain, and how we can use that information to further our knowledge of the mind.

A dwarf planet in our own solar system might once have supported life, scientists have said. Ceres, a mysterious rocky planet in the asteroid belt between Mars ad Jupiter, has a rich body of ice beneath its dark surface, according to scientists. The discoveries were reported in a pair of studies published in the journals Science and Nature Astronomy. The scientists behind them hope that they could help commercial endeavours to mine water and other resources from asteroids, and to send humans out beyond the moon. The image was taken by Nasa's HiRISE camera, which is mounted on its Mars Reconaissance Orbiter 3/30 Orion Capsule splashes down The Orion capsule jetted off into space before heading back a few hours later -- having proved that it can be used, one day, to carry humans to Mars 4/30 The Soyuz TMA-15M rocket launch The Soyuz TMA-15M rocket launches from the Baikonur Cosmodrome in Kazakhstan on Monday, Nov. 24, 2014, carrying three new astronauts to the International Space Station.