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

We have no flight-tracking system for the lower sky. There are rules and charts for keeping track of larger aircraft that carry human passengers and are piloted by humans onboard, but drones are small and fly low, which means we have to trust in drone pilot good behavior to keep drones away from risky places, like airports. Small drones, unlike other aircraft, don't broadcast their location, so tracking them in the sky is tricky. That's why the FAA is working with NASA to come up with an Unmanned Aerial System Traffic Management system. Earlier today, NASA tested the system at six different FAA test sites.

Parents, listen up: Put your kids in engineering and computer science classes. A recent Bureau of Labor Statistics report says "software development skills continue to be the most in-demand" STEM (science, technology, engineering, and math) related jobs in the United States, and the White House projects that there will be over one million unfilled jobs in STEM related fields by 2020. And perhaps one of the easiest ways to encourage this interest is with toys. Toys and kits that are designed to teach kids hacking and basic programming skills abound, and they cater to a range of ages and skill levels. "It's important that we create learning experiences for kids that help to see what's possible for them, what they can do, who they can be, and the changes that they can make to what's around them," said Eric Rosenbaum, who is an electronics kit designer and has a PhD from MIT's Lifelong Kindergarten group.

Researchers at MIT have built an artificial intelligence system that is designed to evolve into ultimate cyber defense. AI2, a joint effort between machine learning startup PatternEx and Massachusetts Institute of Technology, merges AI with analyst intuition to predict future attacks. It builds predictive models of what might happen in the near future, allowing business to come up with ways to bolster security. The system employs three different machine-learning algorithms to catch shady events. Like any artificial intelligence system, it requires some feedback from a human to correctly identify if those events are actually mistrustful or not.

Legislation passed by the U.S. Senate could pave the way for the commercial deployment of drones in the national airspace, besides addressing safety issues by, for example, providing for a pilot that would find ways to lock down errant drones if they are close to airports. The new rules in the Federal Aviation Administration Reauthorization Act of 2016, passed Tuesday by a vote of 95-3, reflect the opportunities seen in the country for the use of drones both for commercial and other applications such as in emergencies. They also highlight privacy and safety concerns about the reckless use of consumer drones by hobbyists. Referring to an object, believed to be a drone, hitting a British Airways plane landing in Heathrow airport on Sunday, Senator Bill Nelson, a Democrat from Florida, said that if a drone is sucked into a jet engine, it could certainly render the engine inoperable and might start an explosion. The current bill proposes a pilot program to develop and test technologies to intercept or shut down drones when they are near airports.

Imagine yourself one hundred years from now. Yes, you're still alive, breathing through genetically engineered pig lungs, and having dinner at your favorite restaurant. A robot waiter rolls up to refill your glass of wine, which is equipped with a sensor that allows the restaurant to automatically deduct 10 from your Bitcoin account. Your companion, who doesn't actually speak the same language as you, is saying how much she loves her salad, which comes from a farm that uses precision agriculture techniques to boost productivity by effectively dividing fields into one-inch square plots that each receive customized fertilizer mixes based on their specific conditions. You understand her perfectly thanks to a small device in your ear that instantly translates her words and perfectly mimics her voice.

Scientists at Massachusetts Institute of Technology (MIT) claim they have created an AI that can detect 85% of cyber attacks -- albeit with the help of humans. The "AI2" algorithm, developed by MIT's Computer Science and Artificial Intelligence Lab (CSAIL) and machine learning startup PatternEx, can reportedly detect cyber attacks three times more effectively than today's current systems. AI2 has been tested on 3.6 billion pieces of data, known as "log lines," which were created over a three month period by millions of people. In order to predict attacks, AI2 scans sets of data and identifies suspicious activity. It does this by clustering the data into meaningful patterns using unsupervised machine-learning, according to MIT.

Computer scientists from the Michigan Institute of Technology (MIT) and a machine learning startup, PatternEx, have reportedly developed a new system that can correctly detect 85% of cyberattacks using artificial intelligence merged with input from human experts. At the moment, security systems are closely monitored by humans and programmed to pick up on cyberattacks that only follow very specific rules, as such missing any attacks that do not follow those rules. But, there are also systems autonomously run by computers that practice anomaly detection – i.e. the identification of items, events or observations – that do not conform to an expected pattern or other items in a dataset. This method often leads to false positives, meaning that humans doubt the reliability of the system and are forced to go back and check all the results anyway. To improve this, researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), in collaboration with PatternEx, have developed the AI2 artificial intelligent platform, which merges three different machine learning methods that enable computers to learn unsupervised.

Drones could be bringing parcels to your door within two years, thanks to a bill that left the Senate today. The bipartisan aviation policy bill, which passed the Senate 95-3 Tuesday, demands that the Federal Aviation Authority (FAA) authorize package deliveries by drones within two years. The bill, which must now be debated by the House, also makes changes to various regulations including those affecting airport security and airplane pricing. It says that the agency must create a small drone'air carrier certificate' for operators of delivery drone fleets, similar to the safety certificates granted to commercial airlines. These rules are needed for Amazon and other companies to deploy fleets of delivery drones.