The Department of Defense announced in early February, in an address to the Economic Club of Washington by Defense Scretary Ashton Carter, that its Strategic Capabilities Office was innovating "new roles and game-changing capabilities to confound potential enemies." The Washington Post's Dan Lamothe wrote an exclusive piece on the SCO, a hitherto unknown agency within the DoD, on March 8. In that piece, Lamothe explained that the future of war is now- and the future is the SCO's artificial intelligence. The SCO's drone program, Perdix, originated at MIT in 2010- 2011. They fit easily in the hand and are surprisingly light-weight.

Robots learn socially accepted behavior by reading and understanding children's books, particularly stories about chivalry. Researchers developed a technology called "Quixote" that can teach robots how to align their goals with proper human behavior in social settings. The increasing growth of artificial intelligence has come with fear that these robots could be a threat to humanity. To lessen this anxiety, a team of researchers developed a method that will train AI how to behave in social settings. The new technology is called "Quixote" and it teaches robots to read children's stories, understand acceptable social behavior in societies and learn standard event sequences.

When a person's intelligence is tested, there are exams. When artificial intelligence is tested, there are games. But what happens when computer programs beat humans at all of those games? This is the question AI experts must ask after a Google-developed program called AlphaGo defeated a world champion Go player in four out of five matches in a series that concluded Tuesday. Long a yardstick for advances in AI, the era of board-game testing has come to an end, said Murray Campbell, an IBM research scientist who was part of the team that developed Deep Blue, the first computer program to beat a world chess champion.

Fighting cyber attacks with artificial intelligence The next frontier of anti-virus software is leveraging artificial intelligence (AI) to not only predict what threats are out there, but to also actively fight back before they strike. This is according to American-based Cylance's chief marketing officer, Greg Fitzgerald, speaking at the NetEvents Press and Analyst Summit in Rome, Italy.The company says it is "revolutionising cyber security through the use of AI and machine learning to proactively prevent advanced persistent threats and malware". Cylance today announced it is expanding into the Europe, the Middle East and Africa (EMEA) with the establishment of a London-based team led by Evan Davidson, former enterprise sales director at FireEye. It also established a channel partnership with CoreSec Systems, which supplies cyber security and networking solutions in Sweden and Denmark.

The Supreme Court is staying out of a dispute between game maker Electronic Arts Inc. and former National Football League players who accuse the company of using their likenesses in the popular Madden NFL video game series without approval. The justices on Monday let stand an appeals court ruling that said the company's use of the player's likenesses was not protected as "incidental use" under the First Amendment. The former players sued Electronic Arts in 2010 over the company's use of "historic teams" and players in Madden NFL games from 2001 to 2009. The 9th U.S. Circuit Court of Appeals ruled in 2012 that the player lawsuit could proceed. Electronic Arts previously settled a similar case brought by college football and basketball players for 40 million.

China has been the power engine of global economic growth since the Chinese Communist Party embraced free market economics some 30 years ago. What leveraged China's momentous success has been its people, or - to be more precise - the enormous number of cheap labour that migrated from the rural areas to the cities, some of which had to be built from scratch in order to accommodate millions of new residents. Low wages, foreign investment and open markets made China the manufacturing powerhouse of the world. But things have changed since those halcyon days of easy growth. Labour supply in China has become increasingly scarcer, a fact reflected in the almost exponential rise of wages since the beginning of the 2000s.

Your son is hanging out with friends behind the VR theatre when someone pulls a knife: they're being robbed. He hits a panic button on his phone, and a nearby drone is instantly dispatched. Less than 30 seconds later it's in the alley, sirens wailing and lights flashing, recording everything to be transmitted to the police. The technology for that scenario exists today. Add a dash of image recognition, or take it another step and put a taser (or a miniaturized version of the heat ray) on the device, and you have the automation of emergency response services.

With flashy AI technology like IBM's Watson and Google's driverless cars stealing headlines and outperforming their human competitors, it's clear that our economy is bracing for a fundamental shift in how we perform work. What's less obvious, however, is exactly what the workplace of the future will look like. A pair of Oxford researchers recently estimated that 47 percent of the total U.S. employment is at risk of being eliminated. On the other end of the spectrum, Mercedes announced it is trading out some of its production robots for human labor -- the machines could not keep up with the increasing options for customization. While these two camps continue to argue, in this article we'll explore three robotic trends that the prevailing media have missed in their coverage of the future of jobs -- trends that will hold true if we continue this automation trajectory.

You can already tell Google Now to stop showing you stories on certain subjects, such as an annoying political candidate or a rival sports team. But what if you want to purge an entire site from that long list of info cards? You're about to get that chance. Some users have noticed that Google Now is giving them an option to block entire publishers, regardless of content. If you're irked by a tabloid cluttering your feed, you can banish it forever.

Replacing the legacy safeguards that have failed to protect networks and applications, machine learning is at the heart of IT's shift in mindset. It's no longer about preventing attacks or focusing on "known threats," but rather identifying potential threats early enough so that they don't have an opportunity to cause real damage. Without the proper tools, it can take companies months to discover a data breach and even more to resolve it. By failing to detect potential threats early, organizations like Home Depot, J.P. Morgan and Ashley Madison put their finances, reputation and relationship with valued customers at risk.