In the back kitchen of Mountain View's newest pizzeria, Marta works tirelessly, spreading marinara sauce on uncooked pies. She doesn't complain, takes no breaks, and has never needed a sick day. Marta is one of two robots working at Zume Pizza, a secretive food delivery startup trying to make a more profitable pizza through machines. It's also created special delivery trucks that will finish cooking pizzas during the journey to hungry customers if approved by the Santa Clara County Department of Environmental Health. Right now Zume is only feeding people in Mountain View, California, but it has ambitions to dominate the 9.7 billion pizza delivery industry.

Pathologists still do the bulk of their diagnosis of metastatic cancer cells in tissue and lymph nodes by hand, putting slides under a microscope and looking for signature irregularities they're trained to see. Recent advances in computer technology, however, particularly in artificial intelligence (AI), have begun to teach machines to do this kind of detection with growing rates of improvement. Now, a research team from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School have developed a form of AI that can interpret these pathology images with accuracy levels of 92.5 percent. Moreover, when the two are used in combination, the detection rate approaches 100 percent (approximately 99.5 percent). Their AI method is a form of deep learning, in which the system attempts to replicate the activity of the human neocortex through artificial neural networks.

In a major breakthrough for artificial intelligence, a computing system developed by Google researchers in Great Britain has beaten a top human player at the game of Go, the ancient Eastern contest of strategy and intuition that has bedeviled AI experts for decades. Machines have topped the best humans at most games held up as measures of human intellect, including chess, Scrabble, Othello, even Jeopardy!. But with Go--a 2,500-year-old game that's exponentially more complex than chess--human grandmasters have maintained an edge over even the most agile computing systems. Earlier this month, top AI experts outside of Google questioned whether a breakthrough could occur anytime soon, and as recently as last year, many believed another decade would pass before a machine could beat the top humans. But Google has done just that.

ISLAMABAD – A U.S. Senate delegation paid a rare visit Sunday to a tribal region along the Afghanistan border that has long been considered a stronghold of al-Qaida, the Taliban and other insurgents. The delegation led by Sen. John McCain, R-Ariz. McCain posted pictures on his Twitter account of the delegation visiting Pakistani helicopter pilots at an air base in Miram Shah. Foreigners are largely banned from the tribal region, where Pakistan has been waging a military offensive to root out insurgents for two years. The U.S. frequently carries out drone strikes in the region targeting Taliban and al-Qaida leaders.

Even though you may not realize it, machine learning-powered matchmaking is present everywhere in our daily lives, from the type of content shown on our Facebook news feeds to the suggested TV shows that come up on Netflix, and even to the matches suggested on dating sites/apps like Match.com and Tinder. As machine learning continues to advance, it will start to make its way to the hiring process, driving efficiencies in connecting employers and candidates, especially for technical jobs. Analyzing large amounts of data on candidates will become increasingly important during the hiring process for many companies. Today, matching algorithms use strings and keywords in resumes to filter candidates. This enables companies to get more accurate results, quicker, during the hiring process.

Artificial intelligence in Korea is currently prospering. The media is regularly reporting AI-enabled products such as smart advisors, personal robots, autonomous cars, and human-level intelligence machines. The IT industry is investing in deep learning and AI to maintain the global competitive edge in their services and products. The Ministry of Science, ICT, and Future Planning (MSIP) has launched new funding programs in AI and cognitive science to implement the government’s newly adopted endeavor of building a “Creative Economy” and “Software Centric Society”. However, AI was not always flourishing as it is now. Similar to the history of AI worldwide, AI research and industry in Korea have faced both the ups and downs in its history.

The Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA Superintelligence is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds. In light of recent advances in machine intelligence, a number of scientists, philosophers and technologists have revived the discussion about the potential catastrophic risks entailed by such an entity. In this article, we trace the origins and development of the neo-fear of superintelligence, and some of the major proposals for its containment. We argue that such containment is, in principle, impossible, due to fundamental limits inherent to computing itself. Assuming that a superintelligence will contain a program that includes all the programs that can be executed by a universal Turing machine on input potentially as complex as the state of the world, strict containment requires simulations of such a program, something theoretically (and practically) infeasible.

This page includes forthcoming AAAI sponsored conferences, conferences presented by AAAI Affiliates, and conferences held in cooperation with AAAI. AI Magazine also maintains a calendar listing that includes nonaffiliated conferences at www.aaai.org/Magazine/calendar.php. The IAAI-18 Conference will be held AAAI Fall Symposium. FLAIRS-2017 will be held May 22-24, Twenty-Ninth Innovative Applications 2017 inMarco Island, Florida, USA. of Artificial Intelligence Conference. IAAI-17 will be held February 4-9 in San Francisco, California USA.

Alpha: 'AI who beats Human Pilot in Tests' and in these lengthy tests; as usual the human subject is prone to getting tired. The Computer AI known as ALPHA does not get tired and is one of recent AI developments that reveal just how good the Artificial intelligence is getting. I have written on AI for some time now and it is evident the next stage of development that men will shoot for is AI use in many different areas. But areas where these AI robots, and instruments can work with humans as an aid. This is all fine and good until the Robot or AI instrument starts learning on it's own.

A Baxter robot of Rethink Robotics picks up a business card as it performs during a display at the World Economic Forum, in China's port city Dalian Thomson Reuters "There's just doesn't seem to be many blacksmith jobs these days." At first glance, this would be a ridiculous thing to say. We live in a modern society and machines do a way better job of making things from metal anyways. What if machines are better at driving long-haul trucks? What if machines are better servers at McDonald's?