Computer manufacturer Atos has named its first customer for Bull sequana, a supercomputer design it hopes will reach exaflop levels of performance by 2020. Atos is building the computer for the French Alternative Energies and Atomic Energy Commission (CEA), it said Tuesday. By targeting 2020 for delivery of an exaflop supercomputer, Atos is entering a race in which China and Japan may already have a head-start. An exaflop is a billion billion floating-point operations per second (flops). That's way more than today's fastest machine can manage: China's Tianhe-2 has a maximum performance of 33.9 petaflops (millions of billions of flops), according to the November 2015 edition of the Top500 supercomputer rankings.

Self-driving cars are more likely to hinder than help public safety because of unsolved technical issues, engineers and safety advocates have warned. Even a trade association for car makers cautioned that a slower, more deliberative approach may be needed than the current plan to provide its guidance for deploying the vehicles in just six months. The decision to produce the guidance was announced in January and officials have promised to complete it by July. Self-driving cars (Google's pictured) are more likely to hinder than help public safety because of unsolved technical issues, engineers and safety advocates have warned. There are risks to deviating from the government's traditional process of issuing regulations and standards, Paul Scullion, safety manager at the Association of Global Automakers, said at a public meeting on self-driving cars hosted by the National Highway Traffic Safety Administration (NHTSA).

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 new hunter is lurking in the deep -- and it's made of metal, silicon, and lots and lots of artificial intelligence. The Defense Advanced Research Projects Agency (DARPA) officially launched its unmanned submarine-hunting ship, holding a christening ceremony on Thursday for the "Sea Hunter." The new vessel is part of DARPA's larger initiative to use artificial intelligence (AI) for a wider array of military decisions and tasks. The seafaring drone's task is to find and neutralize enemies' ultraquiet diesel submarines, the agency said. While the Sea Hunter, which is part of DARPA's Anti-Submarine Warfare Continuous Trail Unmanned Vessel (ACTUV) program, is not helmed by a human captain, people are still in the loop (at least for now).

Autonomous vehicles would have to be driven hundreds of billions of miles to create enough data to clearly demonstrate their safety, according to a new report. Under even the most-aggressive tests, it would take existing fleets of autonomous vehicles hundreds of years to log sufficient miles to adequately assess their safety compared to human-driven vehicles. Researchers say the findings suggest that in order to advance autonomous vehicles into daily use, alternative testing methods must be developed to supplement on-the-road testing. Autonomous vehicles (Google's car pictured) would have to be driven hundreds of billions of miles to create enough data to clearly demonstrate their safety, according to a new report. The report, Driving to Safety: How Many Miles of Driving Would It Take to Demonstrate Autonomous Vehicle Reliability?, was written by Rand Corporation.

Growing up in a small village in Vietnam, Quoc Le had no electricity till he was nine. A little over 20 years later he has helped design artificial intelligence used by millions everyday. The 32-year-old helps lead the Google Brain team, a specialised unit that attempts to give computers the kind of profound neural networks that human beings possess, or at least helps them simulate it. It is Google's attempt to build an artificial brain. It may not be humanoid-like machine that can think for itself that many will have in mind, but "intelligence" has already been integrated into Google products, the kinds of technology that Mr Le could only imagine as a child.

Economists have largely preferred to act within their own field and interpretations. However, the rise of big data challenges, data analytics, and machine learning is beginning to change all that. In the summer of 2015, Susan Athey, a Professor of Economics of Technology at Stanford attracted a crowd of over 250 economists for a one-day instructive session on machine learning. Historically, the discipline of economics has always been categorized among the social sciences, which means the word'science' should be understood as somewhat loosely applied. Unlike the natural sciences, which are prescribed as strictly positivist and bound by the ideals of empirical truth to only build theories around quantitative data that can be measured and duplicated, social sciences are often influenced by observations that are open to interpretation.

These strange-looking, two-legged robots might be the predecessor of a machine that someday helps with chores around the home. The bipedal bot, which has yet to be named, was developed by Schaft, a Japanese robotics company that is part of X, the research lab owned by Alphabet (previously Google). It was revealed at an event in Japan hosted by Andy Rubin, who started Google's robotics project before leaving the company at the end of 2014 to create his own hardware incubator. A video shot by someone at the event shows the robot carrying a heavy-looking gym weight, slipping on a tube without falling over, and cleaning a set of stairs with a vacuum cleaner brush attachment on its feet. It can also be seen walking through a forest and along a rocky beach.

Australia has warned the world that artificially intelligent killer robots "may be closer than many of us had imagined" and nations need to work harder to tackle the future threat they may pose. Is the Australian Defence Force the next big customer for unmanned aerial vehicles? At a United Nations meeting on "lethal autonomous weapons systems" in Geneva, Switzerland, the Australian delegation on Monday night called on the world to come up with agreed rules about how to handle the rapid pace in technology in military artificial intelligence. "The development of fully autonomous systems able to conduct military targeting operations which kill and injure combatants or civilians may be closer than many of us had imagined," the delegation's statement said. "It is an appropriate time to consider the risks of such weapons systems and to make sure we understand fully what might constitute misuse as well as legitimate use of emerging technologies."

Missing teen's remains found in Lerderderg State Park Is the Australian Defence Force the next big customer for unmanned aerial vehicles? Australia has warned the world that artificially intelligent killer robots "may be closer than many of us had imagined" and nations need to work harder to tackle the future threat they may pose. At a United Nations meeting on "lethal autonomous weapons systems" in Geneva, Switzerland, the Australian delegation on Monday night called on the world to come up with agreed rules about how to handle the rapid pace in technology in military artificial intelligence. The Terminator movies imagined a future where killer robots posed a threat to humanity: some warn that the threat is real. "The development of fully autonomous systems able to conduct military targeting operations which kill and injure combatants or civilians may be closer than many of us had imagined," the delegation's statement said.