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

A rocky planet that might have aliens on it has been found, close enough that we could travel there. The new world is just slightly bigger than Earth and sits about four light years away, orbiting Proxima Centauri. That star is the nearest one to our solar system. As such, it is the most easily studied and understood of any "second Earth" that has ever been found. And it appears to be almost perfectly set up to serve as a home for alien life.

Johnson, 25, was the sniper who targeted the officers at the conclusion of a peaceful march July 7 in downtown Dallas, where demonstrators were protesting fatal police shootings in Minnesota and Louisiana. Armed with an assault rifle, he took multiple positions as he fired. Hours later, authorities used a bomb-carrying robot to kill him.

More than 60 years after it was blown up by two atomic blasts then later sunk off the cost of California, the wreckage of the historic USS Independence has been seen for the first time. After being found in April this year, the Ocean Exploration Trust (OET) has now explored the wreck with robotic submarines, and released the first close-up images of how the ship looks now. This exploration is revealing the ship holds war secrets, including a fighter plane within the sunken aircraft carrier. After being found in April this year, a team of divers from the National Oceanic and Atmospheric Administration ( NOAA) has now explored the wreck with robotic submarines, and released the first close-up images of how the ship looks now. Walkway leading to personnel hatch near'gun tub' hanging over walkway on starboard side of ship is pictured USS Independence (CVL 22) operated in the central and western Pacific from November 1943 until August 1945.

In this paper, a novel multiple criteria decision making (MCDM) methodology is presented for assessing and prioritizing medical tourism destinations in uncertain environment. A systematic evaluation and assessment method is proposed by integrating rough number based AHP (Analytic Hierarchy Process) and rough number based MABAC (Multi-Attributive Border Approximation area Comparison). Rough number is used to aggregate individual judgments and preferences to deal with vagueness in decision making due to limited data. Rough AHP analyzes the relative importance of criteria based on their preferences given by experts. Rough MABAC evaluates the alternative sites based on the criteria weights. The proposed methodology is explained through a case study considering different cities for healthcare service in India. The validity of the obtained ranking for the given decision making problem is established by testing criteria proposed by Wang and Triantaphyllou (2008) along with further analysis and discussion.

We propose a robust, scalable, integrated methodology for community detection and community comparison in graphs. In our procedure, we first embed a graph into an appropriate Euclidean space to obtain a low-dimensional representation, and then cluster the vertices into communities. We next employ nonparametric graph inference techniques to identify structural similarity among these communities. These two steps are then applied recursively on the communities, allowing us to detect more fine-grained structure. We describe a hierarchical stochastic blockmodel---namely, a stochastic blockmodel with a natural hierarchical structure---and establish conditions under which our algorithm yields consistent estimates of model parameters and motifs, which we define to be stochastically similar groups of subgraphs. Finally, we demonstrate the effectiveness of our algorithm in both simulated and real data. Specifically, we address the problem of locating similar subcommunities in a partially reconstructed Drosophila connectome and in the social network Friendster.

We derive fundamental sample complexity bounds for recovering sparse and structured signals for linear and nonlinear observation models including sparse regression, group testing, multivariate regression and problems with missing features. In general, sparse signal processing problems can be characterized in terms of the following Markovian property. We are given a set of $N$ variables $X_1,X_2,\ldots,X_N$, and there is an unknown subset of variables $S \subset \{1,\ldots,N\}$ that are relevant for predicting outcomes $Y$. More specifically, when $Y$ is conditioned on $\{X_n\}_{n\in S}$ it is conditionally independent of the other variables, $\{X_n\}_{n \not \in S}$. Our goal is to identify the set $S$ from samples of the variables $X$ and the associated outcomes $Y$. We characterize this problem as a version of the noisy channel coding problem. Using asymptotic information theoretic analyses, we establish mutual information formulas that provide sufficient and necessary conditions on the number of samples required to successfully recover the salient variables. These mutual information expressions unify conditions for both linear and nonlinear observations. We then compute sample complexity bounds for the aforementioned models, based on the mutual information expressions in order to demonstrate the applicability and flexibility of our results in general sparse signal processing models.

American space agency NASA has built an Artificial Intelligence (AI) platform capable of aiding firefighters when they enter a burning building. The platform, called Audrey, is the product of a partnership between the agency's Jet Propulsion Lab (JPL) and the Department for Homeland Security (DHS). This project forms part of the Next Generation First Responder program, which aims to identify ways firefighters, police and paramedics can stay safe while in the field. Audrey collects data about heat, gases and other signs of danger to help first responders get through the flames safely and quickly, letting them save victims. To make the AI platform possible, the designers used several technologies developed by NASA and the Department of Defence.

A new remotely controlled war machine for the Iraqi Security Forces. Mosul wasn't supposed to fall again. The city in Northern Iraq saw intense fighting between American forces and Saddam Hussein's sons in 2003, and in 2008 saw major campaign by American troops against insurgent forces. When ISIS attacked Mosul in summer 2014, two divisions of the Iraqi Security Forces were supposed to hold the city, but the 30,000 defenders crumbled and fled from the onslaught of under 2,000 enemies. Mosul remains in ISIS' hands today.

Incremental clustering approaches have been proposed for handling large data when given data set is too large to be stored. The key idea of these approaches is to find representatives to represent each cluster in each data chunk and final data analysis is carried out based on those identified representatives from all the chunks. However, most of the incremental approaches are used for single view data. As large multi-view data generated from multiple sources becomes prevalent nowadays, there is a need for incremental clustering approaches to handle both large and multi-view data. In this paper we propose a new incremental clustering approach called incremental minimax optimization based fuzzy clustering (IminimaxFCM) to handle large multi-view data. In IminimaxFCM, representatives with multiple views are identified to represent each cluster by integrating multiple complementary views using minimax optimization. The detailed problem formulation, updating rules derivation, and the in-depth analysis of the proposed IminimaxFCM are provided. Experimental studies on several real world multi-view data sets have been conducted. We observed that IminimaxFCM outperforms related incremental fuzzy clustering in terms of clustering accuracy, demonstrating the great potential of IminimaxFCM for large multi-view data analysis.