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

People who rely on satnav could be at risk of losing their ability to navigate, an expert has warned. Writing in the journal Nature, former president of the Royal Institute of Navigation Roger McKinlay argues that our reliance on GPS technology is misplaced and could be eroding our innate way-finding abilities. "If we do not cherish them, our natural navigation abilities will deteriorate as we rely ever more on smart devices," he wrote. McKinlay believes huge investment will be needed before navigation systems will be good enough to allow technologies such as autonomous vehicles to take off. In the meantime, he argues, we need better research into systems for navigation while children should be encouraged to learn how to find their way around by more traditional means.

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

First in a series of two articles about the history of signature-based detections, and how the methodology has evolved to identify different types of cybersecurity threats. Used in the context of an outdated and manually intensive technology focused on older classes of threats, there's little wonder why vendors would seek to distance the legacy term "signature" from their advanced detection technology. Vendors haven't necessarily been deceptive in the labeling of their latest generation of techniques; it's often just easier to create a new label for something than to fully explain the context and evolution of what preceded it. Over the years, signature-based systems have changed and advanced, but the core concepts still lie at the heart of all modern detection systems – and will continue to be integral for the foreseeable future. To understand what a "signature system" is in reality, we need to understand the evolution of the detection path as directed and discovered by human intervention.

Today on In Case You Missed It: DARPA's own AAA satellite service to service satellites orbiting Earth could launch in about five years, if all the testing goes as planned. A new drone is based on the form of a bat and the resemblance is uncanny. And Google is helping robotic graspers learn hand-eye coordination by giving them new objects to pick up. If you've followed along with some of the 3D-printed prosthetics we've done stories on, you'll want to see this glitter shooting, darling girl. And as always, please share any great tech or science videos you find by using the #ICYMI hashtag on Twitter for @mskerryd.

If you had the opportunity to vote for a politician you totally trusted, who you were sure had no hidden agendas and who would truly represent the electorate's views, you would, right? What if that politician was a robot? Futures like this have been the stuff of science fiction for decades. And, if so, should we pursue this? Recent opinion polls show that trust in politicians has declined rapidly in Western societies and voters increasingly use elections to cast a protest vote.

It may not be good news for anyone who finds insects creepy. Scientists have proved they can control how beetles fly and walk by turning them into cyborgs. Researchers fitted giant flower beetles, which measure two inches long and weigh around 0.3 ounces, with radio transmitter backpacks and wired them to their limbs. This allowed them to electrically stimulate muscles in the insects' legs so they could control their walking speed, gait and direction. Scientists have shown they can control the movement of giant flower beetles by inserting tiny electrodes into their muscles.

Tay, the Microsoft Twitter chatbot who was discontinued after she began spouting bigotry, came back to life in the early hours of Wednesday morning -- albeit as a private account. She appears to be making up for lost time, posting dozens of largely nonsensical tweets in a matter of minutes. Her return to sentience comes five days after Microsoft senior executive Peter Lee issued a statement saying Tay would be taken offline, and apologized for her behavior. What had happened was this: Microsoft launched a chatbot to learn communication skills from Internet users (specifically, millennials), but within hours, trolls had exploited the interface to refashion Tay as a white-supremacist mouthpiece. She ventured that the Holocaust was a fiction, blamed 9/11 on President George W. Bush, and described the sitting President as a "monkey."

This article was first published in the July 2015 issue of WIRED magazine. Be the first to read WIRED's articles in print before they're posted online, and get your hands on loads of additional content by subscribing online The future of artificial intelligence begins with a game of Space Invaders. From the start, the enemy aliens are making kills -- three times they destroy the defending laser cannon within seconds. Half an hour in, and the hesitant player starts to feel the game's rhythm, learning when to fire back or hide. Finally, after playing ceaselessly for an entire night, the player is not wasting a single bullet, casually shooting the high-score floating mothership in between demolishing each alien. No one in the world can play a better game at this moment. This player, it should be mentioned, is not human, but an algorithm on a graphics processing unit programmed by a company called DeepMind. Instructed simply to maximise the score and fed only the data stream of 30,000 pixels per frame, the algorithm -- known as a deep Q-network – is then given a new challenge: an unfamiliar Pong-like game called Breakout, in which it needs to hit a ball through a rainbow-coloured brick wall. "After 30 minutes and 100 games, it's pretty terrible, but it's learning that it should move the bat towards the ball," explains DeepMind's cofounder and chief executive, a 38-year-old artificial-intelligence researcher named Demis Hassabis. "Here it is after an hour, quantitatively better but still not brilliant. But two hours in, it's more or less mastered the game, even when the ball's very fast. After four hours, it came up with an optimal strategy -- to dig a tunnel round the side of the wall, and send the ball round the back in a superhuman accurate way. The designers of the system didn't know that strategy."

Over the last several years, artificial intelligence (AI) has shifted from being an esoteric branch of computer science to an everyday technology that most of us carry in a pocket or purse--AI is what drives Apple's Siri, Facebook's photo-tagging, Spotify playlists and Google's auto-complete, just for starters. But can we also expect that someday soon AI will report and write the important news of the day--and technology stories like this one? Well, guess what: It already has. First, a bit of background: Many of the most exciting AI advances are driven by research in cognitive computing and natural language generation (NLG) processing, which allow computers to analyze massive quantities of data and generate a plain English document that highlights the most important insights. Those advances are made stronger through deep learning, a field of AI that uses neural networks to teach computers to sift through massive amounts of data to find their own patterns.