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

Researchers from Delft University of Technology in the Netherlands have created a rewritable data-storage device capable of storing information at the level of single atoms representing single bits of information. The technology, which is described in the current issue of Nature Nanotechnology, is capable of packing data as dense as 500 terabytes per square inch. Theoretically, the device could store the entire contents of the US Library of Congress within a 0.1-mm-wide cube--though the proof-of-concept demonstrated by the group topped out at 1 kilobyte. On Tuesday, DigitalGlobe, a satellite-imagery company, announced that it will provide high-resolution pictures of the planet's surface to Uber. DigitalGlobe is the primary provider of satellite imagery to Google, Apple, and the U.S. government.

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

It's fair to say that Google-owned AI company DeepMind's big push into the health space via data-access collaborations with the UK's National Health Service -- announced with much fanfare in February this year -- has not been running entirely smoothly so far. But there are more regulatory bumps in the road ahead for DeepMind Health. TechCrunch has learned the company won't continue using one of the apps it co-designed with the NHS until the software has been registered as a medical device with the relevant regulatory body, the MHRA. That's especially interesting given that this app, called Streams, has already been used for patient care in multiple NHS hospitals. The Royal Free NHS Trust previously told TechCrunch the app had been used by up to six of its clinicians in three "user tests" in its London hospitals. Which, put another way, means a profit-driven commercial entity has been involved in a real-world test of an unregistered medical device on actual hospital patients.

Next month Las Vegas will host the Final Event of the DARPA Cyber grand Challenge as an all-computer cyber-defence Capture the Flag tournament. From an initial field of over 100 applicant seven teams will compete for the 3.5 million prize pool. As we reported at the time, DARPA announced this contest in October 2013. "to vastly improve the speed and effectiveness of IT security against escalating cyber threats." These AI systems would be designed to compete in CTF (Capture the Flag) contests, speed-driven bug hunting tournaments where experts reverse-engineer software, probe its weaknesses, search for deeply hidden flaws and create securely patched replacements.

The radio frequency spectrum enables almost every wireless transmission, from Pokémon Go location data to phone calls and military radio transmissions. The problem is that spectrum is starting to get crowded. With more and more devices connecting to the Internet of Things, the Defense Advanced Research Projects Agency (DARPA) is concerned "wireless congestion" could not only impact social media posts and Netflix stream, but also critical communications in war zones. The answer, as it so often is these days, is a highly sophisticated Artificial Intelligence. DARPA recently announced its next Grand Challenge contest, which will pit several teams against one another in a three-year competition to design a computer system that can micromanage the radio frequency spectrum to keep devices working smoothly.

The rise of the bot has been one of the dominant tech trends of 2016, but apart from ordering you flowers or an Uber, the automated systems could also deliver a history lesson. News Corp Australia has launched a chatbot on Facebook Messenger that allows users to interact with Tasmanian soldier Archie Barwick, who fought in World War I. The chatbot was created by AnzacLive, an interactive project that helps users learn more about the personal experiences of Australians on the frontline. While the project has so far allowed people to interact with veterans, including nurses and soldiers, via Facebook posts, the chatbot will allow for a more private conversation with Barwick as he battles on the Western Front. "We did it to mark the July 1916 battles of Pozieres and Fromelles, the Australians' first major clashes on the Western Front," Justin Lees, editor of AnzacLive, told Mumbrella.

Elon Musk revealed the second part of the so-called "Secret Tesla Motors Master Plan" on Wednesday night, which the company is calling "Master Plan, Part Deux." Musk began by laying out why Tesla seeks to buy SolarCity. Without the two being one, Musk won't be able to create an integrated solar-roof-with-battery product "that just works." With such a product, Musk sees people taking the utility into their own hands. Moving on, he laid out his plans for the kinds of vehicles Tesla will build next.

Raw data in its unprocessed state does not offer much value, but with the right analytics techniques can offer rich insights that can aid various aspects of life such as making business decisions, political campaigns, and advancing medical science. As shown in Figure 1, the analytics cycle can be broadly classified into four categories or phases: descriptive, diagnostic, predictive and prescriptive. Machine Learning is an approach to data analysis that automates analytical model building and is used in all four types of analytics. The relevance and the growing use of analytics using machine learning can be demonstrated by its widespread use in the 2016 US presidential election campaign. Unprecedented growth in the availability of useful information coupled with advancements in technology are making it attractive to use analytics to build and run a better campaign.

The traditional definition of artificial intelligence is the ability of machines to execute tasks and solve problems in ways normally attributed to humans. Some tasks that we consider simple--recognizing an object in a photo, driving a car--are incredibly complex for AI. Machines can surpass us when it comes to things like playing chess, but those machines are limited by the manual nature of their programming; a 30 gadget can beat us at a board game, but it can't do--or learn to do--anything else. This is where machine learning comes in. Show millions of cat photos to a machine, and it will hone its algorithms to improve at recognizing pictures of cats.