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

ONE Saturday night last year, 11 people went looking for love. Like countless speed daters before them, they met in a room draped with curtains, the lights on low. In one hand they held traditional glasses of bubbly, but in the other were sheets of paper they had filled with their personal data. This twist on speed-dating was part of an experiment run by a team at Newcastle University in the UK. They wanted to know what would happen in a world where instead of vetting potential dates by their artfully posed selfies or carefully crafted dating-site profiles, we looked at data gathered by their computers and phones.

Business intelligence has gone from static reports that tell you what happened, to interactive dashboards where you can drill into information to try and understand why it happened. New big data sources, including Internet of Things (IoT) devices, are pushing businesses from those reactive analytics – whether you look back once a month to spot trends or once a day to check for problems – to proactive analytics that give you alerts and real-time dashboards. That makes better use of operational data, which is more useful while it's still current, before conditions change. "There's a demand for real-time dashboards," says Herain Oberoi from Microsoft's Cortana Analytics team. "A lot of businesses want to get the pulse of their business. But dashboards show things that have already happened."

Artificial Intelligence has made huge advances in recent years in many areas, including language processing, vision, and machine learning; we are also seeing the emergence of platforms that integrate different kinds of AI, such as IBM Watson (Arria is a Watson ecosystem partner). Within medicine, I see a lot of excitement about using many aspects of AI; of course Natural Language Generation (NLG), but also using predictive analytics to anticipate potential problems, using machine learning to build diagnostic algorithms, using natural language processing to identify relevant research findings, using computer vision to analyze scans, and using robotics to assist surgeons and other clinicians. Natural Language Generation (NLG) software systems generate narratives that summarize, explain, and communicate complex data sets to people. The huge amount of data available in the modern world can overwhelm people; NLG humanizes the flood of data so that it helps rather than overwhelms people. NLG systems use data analysis and artificial intelligence techniques to analyze complex data sets, and computational linguistic techniques to communicate the results of the analysis in a high-quality narrative text.

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

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 snake is the shortest animal between two points. At least, that seems to be the thinking behind this aquatic snakebot. Built as a collaboration between Norwegian maritime and defense technology giant Kongsberg, The Norwegian University of Science and Technology, and Norway's Statoil energy company, the Eelume robot is a tethered undersea snake with jets, made to go where humans simply can't. Here's what the untethered concept looked like: At its head, there's a light and a grasper, which would allow the robot to turn dials, pull levers, or otherwise manipulate objects under the sea like a disembodied diver's arm. That makes it especially useful for inspecting and repairing oil rigs, or other underwater structures (like lost Loch Ness Monster props).

Your closet is overflowing, spilling shoes, shirts, and underwear onto the floor. You think, "It's time to get organized." Now you have two problems. Specifically, you first need to decide what to keep, and second, how to arrange it. Fortunately, there is a small industry of people who think about these twin problems for a living, and they are more than happy to offer their advice. On what to keep, Martha Stewart says to ask yourself a few questions: "How long have I had it? Is it a duplicate of something I already own? When was the last time I wore it or used it?"

Nicola Mendelsohn: "[Brands should be] starting to test [virtual reality] but it's very early days and not many people have these devices yet. It depends what your objective is. If your objective is testing innovation and being seen as an innovative company then try it because that would fulfil the objective. We only started shifting [the Samsung VR] in November, the Rift is only going out now, so is it actually in the hands of consumers? Matt Brittin: "I encourage people in the UK, which is one of the most creatively advanced countries globally, to be experimenting with new stuff all the time. People will want more immersive experiences… try to experiment with new technology, how does it help people to tell stories in new ways?

Over the course of five seasons, Game of Thrones has killed off over 61 characters, including fan favorites such as Ned Stark, Oberyn Martell and (supposedly) Jon Snow. Now, a computer science class at Germany's Technical University of Munich has created a website dubbed "A Song of Ice and Data" to determine the fate of the HBO drama's remaining key players in the upcoming sixth season. Using a series of machine learning algorithms, the students have figured out the likelihood of each character meeting their end in the next 10 episodes. According to the site, Tommen Baratheon has the worst odds of survival--with a 97 percent chance of death--while Sansa Stark is the most likely to make it to next year at 3 percent. The group also applied the formula to both the show's previous seasons and George R.R. Martin's A Song of Ice and Fire series, and found it accurately predicted 74 percent of deaths.