Microsoft has created an artificial intelligence chat bot that is designed to become smarter the more people talk to it on social media sites such as Twitter. The bot, whose Twitter handle is'Tayandyou', has been dubbed by its creators as an "AI fam from the internet that's got zero chill." It has been created to allow researchers to help AI develop conversational understanding and and communicate in a human way. As well as being on Twitter it is also on messaging platforms Kik and GroupMe. It is explicitly aimed at 18-24-year-olds and speaks like a Millennial by incluidng emojis in its conversations.

Over July 4th weekend in 1981, several hundred game nerds gathered at a banquet hall in San Mateo, California. Personal computing was still in its infancy, and the tournament was decidedly low-tech. Each match played out on a rectangular table filled with paper game pieces, and a March Madness-style tournament bracket hung on the wall. The game was called Traveller Trillion Credit Squadron, a role-playing pastime of baroque complexity. Contestants did battle using vast fleets of imaginary warships, each player guided by an equally imaginary trillion-dollar budget and a set of rules that spanned several printed volumes. If they won, they advanced to the next round of war games--until only one fleet remained. Doug Lenat, then a 29-year-old computer science professor at nearby Stanford University, was among the players. But he didn't compete alone. He entered the tournament alongside Eurisko, the artificially intelligent system he built as part of his academic research. Eurisko ran on dozens of machines inside Xerox PARC--the computer research lab just down the road from Stanford that gave rise to the graphical user interface, the laser printer, and so many other technologies that would come to define the future of computing. That year, Lenat taught Eurisko to play Traveller. Doug Lenat says his common-sense engine is a new dawn for AI. The rest of the tech world doesn't really agree with him.

The United Nations Children's Fund, perhaps better known as UNICEF, has recently launched a new initiative through which they will begin to invest more money into technology start-ups that have the potential to better the lives of disadvantaged and vulnerable children all over the world. The new initiative, called Innovation Fund, has put a special focus on certain technologies that have the potential to help children, which include 3D printing, blockchain, wearables and sensors, artificial intelligence, and renewable energy. UNICEF, the United Nations program that has as its mandate the promotion of children's rights all over the world, has through its Innovation initiative put its focus on progessive projects and ideas that have the potential to help their cause. As stated on their website, UNICEF Innovation is "tasked with identifying, prototyping, and scaling technologies and practices that strengthen UNICEF's work." UNICEF is currently accepting submissions from various start-ups until February 26, 2016 through their website, though there are some requirements for being considered for funding.

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

If you think deep, you'd realize the whole process of predictive modeling is a war. Consider the data set as your opponent. Your win will depend on the intuitive usage of your knowledge & strategy to get highest accuracy. So, how many times have you won this battle? I realized it last week.

DARPA has announced plans to hold a competition pitting electromagnetic spectrum receivers (think: TVs, wifi-enabled computers, radios). As the amount of mobile data traffic is growing at an exponentially rapid rate, DARPA believes we need to start refining the way we handle the crowded spectrum. The Spectrum Collaboration Challenge (SC2) will see research teams collaborating to create smart systems to share wavelengths using algorithms and artificial intelligence. Global mobile data traffic grew by 74 percent in 2015, and more than half a billion devices and connections were added to the overwhelmingly clogged spectrum, according to recent Cisco reports. Analysts expect that the monthly global mobile traffic rates will reach 30.6 exabytes by 2020 (rates are at 3.7 exabytes per month as of 2015).

Swiping left or right has become Tinder's signature move for finding a romantic match and now it can be used to find a presidential match. Instead of seeing good-looking faces of singles, users will see hot political issues for its'Swipe the Vote' campaign. Simply swipe left to disagree or right to agree and the app will display a percentage showing your primary and secondary matches. Instead of seeing good-looking faces, users will see hot political issues for its'Swipe the Vote' campaign. Click'TAKE THE POLL' on campaign card and begin your search for a nominee If the'Swipe the Vote' card appears while you're searching for a date, click'TAKE THE POLL' and begin your search for a nominee.

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

Could you invent an autonomous hacking system that could find and fix vulnerabilities in computer systems before criminals could exploit them, and without any human being involved? That's the challenge faced by seven teams competing in Darpa's Cyber Grand Challenge in August. Each of the teams has already won 750,000 for qualifying and must now put their hacking systems up against six others in a game of "capture the flag". The software must be able to attack the other team's vulnerabilities as well as find and fix weaknesses in their own software – all while protecting its performance and functionality. The winning team will walk away with 2m.

It's a weird feeling, cruising around Silicon Valley in a car driven by no one. I am in the back seat of one of Google's self-driving cars – a converted Lexus SUV with lasers, radar and low-res cameras strapped to the roof and fenders – as it maneuvers the streets of Mountain View, California, not far from Google's headquarters. I grew up about five miles from here and remember riding around on these same streets on a Schwinn Sting-Ray. Now, I am riding an algorithm, you might say – a mathematical equation, which, written as computer code, controls the Lexus. The car does not feel dangerous, nor does it feel like it is being driven by a human. It rolls to a full stop at stop signs (something no Californian ever does), veers too far away from a delivery van, taps the brakes for no apparent reason as we pass a line of parked cars. I wonder if the flaw is in me, not the car: Is it reacting to something I can't see? The car is capable of detecting the motion of a cat, or a car crossing the street hundreds of yards away in any direction, day or night (snow and fog can be another matter). "It sees much better than a human being," Dmitri Dolgov, the lead software engineer for Google's self-driving-car project, says proudly. He is sitting behind the wheel, his hands on his lap. As we stop at the intersection, waiting for a left turn, I glance over at a laptop in the passenger seat that provides a real-time look at how the car interprets its surroundings. On it, I see a gridlike world of colorful objects – cars, trucks, bicyclists, pedestrians – drifting by in a video-game-like tableau. Each sensor offers a different view – the lasers provide three-dimensional depth, the cameras identify road signs, turn signals, colors and lights. The computer in the back processes all this information in real time, gauging the speed of oncoming traffic, making a judgment about when it is OK to make a left turn.