Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

William Hertling is the author of Avogadro Corp, A.I. Apocalypse, The Last Firewall, The Turing Exception, and the upcoming Kill Process. These near-term science-fiction novels explore the emergence of artificial intelligence (AI), the coexistence of humans and smart machines, and the impact of social reputation, technological unemployment, and other near-future issues. His novels have been called "frighteningly plausible," "tremendous," and "must-read." Hertling's Singularity Series novels have been endorsed by and received wide attention from tech luminaries including Harper Reed (CTO for the Obama Campaign), Ben Huh (CEO Cheezburger), and Chris Anderson (CEO 3DRobotics, former Editor-in-Chief Wired). His first novel for children, The Case of the Wilted Broccoli, was published in 2014. Hertling grew up a digital native in the early days of bulletin board systems. His first experiences with net culture occurred when he wired seven phone lines into the back of his Apple IIe and hosted an online chat system. A frequent speaker on the future of technology, science fiction, and indie publishing, Hertling has spoken at SXSW Interactive, Defrag, OryCon, University of Colorado, Willamette Writers Conference, and many other conferences. Did you start off wanting to become a writer, or did you stumble into it? WH: I very much stumbled into it, although, in retrospect, there were a few hints ahead of time.

Editor's note: this post is part of an ongoing series exploring developments in artificial intelligence. First, collect huge amounts of training data -- probably more than anyone thought sensible or even possible a decade ago. Second, massage and preprocess that data so the key relationships it contains are easily accessible (the jargon here is "feature engineering"). Finally, feed the result into ludicrously high-performance, parallelized implementations of pretty standard machine-learning methods like logistic regression, deep neural networks, and k-means clustering (don't worry if those names don't mean anything to you -- the point is that they're widely available in high-quality open source packages). Google pioneered this formula, applying it to ad placement, machine translation, spam filtering, YouTube recommendations, and even the self-driving car -- creating billions of dollars of value in the process.

Small business financing can be challenging and risky, especially with the uncertain nature of small businesses given that large corporations are aggressively penetrating various market niches. While traditional financial institutions may turn away from SMEs, some alternative lenders are quite successful in delivering financing to these businesses. One of the market leaders in the alternative small business finance space, CAN Capital, has announced that it reached 6 billion in delivering access to working capital for small businesses. During its 18 years in business, CAN Capital has provided access to more working capital than any other company in the space. To date, CAN Capital has helped facilitate over 170,000 small business fundings in hundreds of unique industries, such as restaurants, medical offices and beauty salons.

Take a three-year-old to the zoo, and she intuitively knows that the long-necked creature nibbling leaves is the same thing as the giraffe in her picture book. That superficially easy feat is in reality quite sophisticated. The cartoon drawing is a frozen silhouette of simple lines, while the living animal is awash in color, texture, movement and light. It can contort into different shapes and looks different from every angle. Humans excel at this kind of task.

While companies such as Google chase the fully autonomous car, Toyota is taking a more measured approach toward a "guardian angel" car that would seize control only when an accident is imminent. But as starkly different as those approaches are, they both will require a wide range of data-intensive technologies, according to Gill Pratt (pictured), chief executive officer of the Toyota Research Institute, a research center focused on AI and robotics. He spoke at the GPU Technology Conference in San Jose today. Toyota has made a huge bet–a billion dollars over five years, in fact–not only on semiautonomous cars but robots that could help older people with indoor mobility. The Toyota Research Institute, which will have facilities near Stanford University and the Massachusetts Institute of Technology, is intended to focus both on what Toyota calls outdoor mobility (cars) as well as indoor mobility (robots).

Jeffrey Hawkins is the American founder of Palm Computing (where he invented the Palm Pilot) and Handspring (where he invented the Treo). He has since turned to work on neuroscience full-time, founded the Redwood Center for Theoretical Neuroscience (formerly the Redwood Neuroscience Institute) in 2002, founded Numenta in 2005 and published On Intelligence describing his memory-prediction framework theory of the brain. In 2003 he was elected as a member of the National Academy of Engineering "for the creation of the hand-held computing paradigm and the creation of the first commercially successful example of a hand-held computing device." Hawkins also serves on the Advisory Board of the Secular Coalition for America and offers advice to the coalition on the acceptance and inclusion of nontheism in American life. Andrew Yan-Tak Ng is Chief Scientist at Baidu Research in Silicon Valley.

The App covers a wide range of topics for the engineering students. The app lists 15 subjects, 90 units, 1200 topics on AI, machine learning and related computer science courses. The app contains Online content since adding offline content will make the app heavy. It consumes very small amount of data since it is only notes and diagrams which are being fetched. The the app includes the following subject courses 1. Introduction to Artificial Intelligence 2. Control Systems 3. Real Time Systems 4. Discrete Mathematics 5. Numerical Methods 6. Automata 7. Neural Network & Fuzzy systems 8. Design Analysis of algorithms 9. Physics for Engineers 10.

In a major win for artificial intelligence, Google DeepMind's AlphaGo has beat European Go champion Fan Hui in the complex 2,500-year-old Chinese game of Go, touted the official Google blog. A victory in a Go game against a human champion has long been coveted among AI researchers, because the possible moves that a player can take can reach into the quadrillions and beyond. As a result, Go has proven a formidable challenge for artificial intelligence researchers. Microsoft and Facebook, for example, have been working on ways to win in the game over a human champion, but have had no luck to date, according to a BBC news report. Last October, Google DeepMind held a private, closed-door Go match in its London office between its AlphaGo system and Hui.

We revisit the development of grid based recursive approximate filtering of general Markov processes in discrete time, partially observed in conditionally Gaussian noise. The grid based filters considered rely on two types of state quantization: The \textit{Markovian} type and the \textit{marginal} type. We propose a set of novel, relaxed sufficient conditions, ensuring strong and fully characterized pathwise convergence of these filters to the respective MMSE state estimator. In particular, for marginal state quantizations, we introduce the notion of \textit{conditional regularity of stochastic kernels}, which, to the best of our knowledge, constitutes the most relaxed condition proposed, under which asymptotic optimality of the respective grid based filters is guaranteed. Further, we extend our convergence results, including filtering of bounded and continuous functionals of the state, as well as recursive approximate state prediction. For both Markovian and marginal quantizations, the whole development of the respective grid based filters relies more on linear-algebraic techniques and less on measure theoretic arguments, making the presentation considerably shorter and technically simpler.