The nonnegative matrix factorization is a widely used, flexible matrix decomposition, finding applications in biology, image and signal processing and information retrieval, among other areas. Here we present a related matrix factorization. A multi-objective optimization problem finds conical combinations of templates that approximate a given data matrix. The templates are chosen so that as far as possible only the initial data set can be represented this way. However, the templates are not required to be nonnegative nor convex combinations of the original data.

Television programming in Spain has undergone a transformation over the past decade - changes driven partly by economics and partly by politics. Ever since the banking crisis of 2008, the country has been in a semi-constant state of political upheaval. A series of corruption scandals, inconclusive general elections and, more recently, Catalonia's run at independence have kept Spaniards glued to their televisions and pundits talking 24/7. That has given rise to a wave of political talk shows that the Spanish call tertulias. These programmes meet two important criteria, they provide political flashpoints that audiences seem to like and they're cheap to produce.

NASA scientists are planning to use artificial intelligence to better manage the increasing communications between its spacecraft and the Earth. NASA spacecraft typically rely on human-controlled radio systems to communicate with Earth. Cognitive radio, the infusion of artificial intelligence into space communications networks, could meet demand and increase efficiency, researchers said. "Modern space communications systems use complex software to support science and exploration missions," said Janette C Briones, from the NASA's Glenn Research Center in the US. "By applying artificial intelligence and machine learning, satellites control these systems seamlessly, making real-time decisions without awaiting instruction," said Briones.

Rather than focus on finding jobs in the gaps left by machines, individuals and organizations would be smart to prepare themselves to adapt to a changing digital business environment. Digital technologies are poised to disrupt how work is done. Consider the popular example of the impending arrival of autonomous vehicles. When self-driving vehicles are mainstream -- within the next decade or two (or less) -- the impact on work in the United States alone will be massive. According to the United States Bureau of Labor Statistics, 1.5 million people in the U.S. are commercial truck drivers, 800,000 work as delivery drivers, and another 1 million people make a living as other types of transportation professionals -- including bus drivers, taxi drivers, and Uber drivers.

HYDERABAD: While cyber attacks have been a major cause of concern this year, internet security experts warn that 2018 could bring in more sophisticated attacks using Artificial Intelligence and machine learning. So far, these technologies have been used as mechanisms for protection and detection of threats, but the year ahead could witness a reversal of sorts. "With their ever-increasing technical proficiency, attacks by cyber criminals are expected to become more pronounced in 2018. These attackers will use machine learning and artificial intelligence to launch even more potent threats. More virulent malware and Distributed Denial of Service (DDoS) attacks in comparison to the WannaCry attack are expected. Cyber criminals will be able to use AI to explore victims' networks, which is typically the most labour-intensive part of compromise after an incursion," said Tarun Kaura, director (product management), Symantec.

The end of the year is approaching fast, and now is the perfect time to review your cybersecurity practices, especially if you've bought any new gadgets or if you run your own business. To help you get ahead of the curve, a reputable cybersecurity firm has put together a list of the biggest cybersecurity risks for 2018. The Internet of Things is really starting to take off as a growing number of people buy smart speakers like the Google Home or Amazon Echo and start connecting smart appliances and fixtures to them. Unfortunately though, those very smart devices could end up being the weak point in your cybersecurity, according to Trend Micro researchers. They note that we've already had two examples of how IoT devices could be hacked and then used for nefarious purposes.

MONTREAL - Technological advances in artificial intelligence are fuelling a new race between hackers and those toiling to protect cybersecurity networks. Cybersecurity is always a race between offence and defence but new tools are giving companies that employ them a leg up on those trying to steal their data. Whereas past responses to cybercrimes often looked for known hacking methods long after they occurred, AI techniques using machine learning scan huge volumes of data to detect patterns of abnormal behaviour that are imperceptible to humans. Experts expect machines will become so sophisticated that they'll develop answers to questions that humans won't clearly understand. David Decary-Hetu, assistant professor of criminology at the University of Montreal, says defenders have an edge right now in using artificial intelligence.

Warnings about artificial intelligence launching World War III--including a few flares sent up by Elon Musk--are an unfair scourge on an AI sector that sees itself making life easier and helping traditional companies survive. That's the view of Chris Boos, chief executive officer of Germany-based software firm Arago, who told MarketWatch in an interview that anything produced by a process can, should and will be run by AI, allowing human beings to be the creative thinkers and doers they were designed to be. Arago advises mostly non-tech, established-economy Fortune 500 businesses on their AI adoption. "Within the next 2-3 years AI will be able to run any business process, which makes AI one -- potentially the only one -- defensive measure the established economy has against intrusion from the high-tech world," said Boos. For now, the sci-fi hyperbole can wait.

As collection of space data increases, NASA is exploring the infusion of Artificial Intelligence (AI) into space communications networks to meet demand and increase efficiency. Software-defined radios like cognitive radio use AI to employ underutilised portions of the electromagnetic spectrum without human intervention. The Federal Communications Commission (FCC) permits a cognitive radio to use the frequency while unused by its primary user until the user becomes active again. "Modern space communications systems use complex software to support science and exploration missions. By applying AI and machine learning, satellites control these systems seamlessly, making real-time decisions without awaiting instruction," Janette C. Briones, Principal Investigator at NASA's Glenn Research Centre in Cleveland, Ohio, said in a statement on Saturday.

California voters decided last year that the sale of recreational marijuana should be made legal, beginning on Jan. 1, 2018. But Proposition 64 left many of the details to local governments and state regulators. So the last several months have been a race against the calendar, as officials have sought to develop rules governing where, when and how businesses may grow, transport and sell marijuana to adults. Last month, the state unveiled 276 pages of regulations for the new recreational pot marketplace. Among other things, the rules set hefty licensing fees, regulate how much THC will be allowed in edibles and other cannabis products, and require marijuana businesses to track their product from seed to sale.