Over 30 different Android smartphones and tablets have been found to have had malware preinstalled on them before users even switched them on, according to a cyber security firm. Check Point detected a "severe infection" on 38 handsets being used by two of its corporate clients, a telecommunications firm and a multinational technology company that have not been named. The issue affects smartphones from a number of big-name brands, including Samsung, LG and Google. It must be made clear, however, that not all models of the devices named above are affected. "According to the findings, the malware were already present on the devices even before the users received them," reads the Check Point blog post announcing the discovery.

Once fully deployed in South Korea, a THAAD battery could theoretically use its radar to see and monitor activity beyond North Korea, deep into Chinese territory. Russia also worries the deployment could compromise its security, and said it would lead to a stalemate on the Korean peninsula.

Have you ever wondered how you would act at the end of the world? Players' actions in a video game could reveal insights into how an impending apocalypse might affect people's behaviour. A team of researchers analysed how players behaved in a beta test of ArcheAge, a massively multiplayer online role-playing game (MMORPG). The players knew that all of their character information and progress would be deleted at the end of the test, which lasted about 11 weeks. This meant the researchers could watch how their actions changed as they got closer to the virtual world's end.

In 2005 I attended a high-level symposium that sought a solution for an obstacle that was delaying the discovery of cures for human illnesses. The obstacle is "information overload." Stated simply, there is too much data being published for any single person to read, analyze, and connect it with over ten million existing biomedical papers. The presenters at the 2005 symposium declared there to be enough published data to cure lethal diseases, but no efficient way to tie it together in a meaningful way. I immediately understood what these computer experts were seeking.

Perhaps in the future, artificial intelligence will intervene and write this article. Perhaps in the future, the editorial team will become redundant and ARN will embrace a form a robo-journalism. Perhaps in the future, it even won't matter, because the entire channel will also be unemployed. And what a different world it would be. For the rise of AI - as the world likes to categorise it - is storming along like a tech freight train, charging through barriers and racing towards a new world. Within this new world, will naturally be new ways to engage, conduct business and make money, creating opportunities and challenges for the channel in parallel.

Wars over office temperature may be coming to a thaw. Thanks to advances in workplace architecture and new sensor and app technologies, individual workers are getting more control over the climate around them, which has long been a battleground for office workers. Some of the new technologies seem straight out of science fiction. One building under renovation in Italy is going to provide workers with their own "thermal bubbles" that can follow them around the building, so workers will each have their own climate-controlled zone. Elsewhere, smartphone apps such as Comfy let workers order a 10-minute blast of hot or cold air.

How can people learn to work better with robots? First, have them watch robots on the silver screen. That's the finding of a recent study that had 56 undergraduate students rate their feelings toward humanlike service robots. Half of the group watched the science-fiction movie "Robot and Frank," which involved a robot, and the other half watched "Safety Not Guaranteed," a sci-fi romantic comedy that didn't involve robots, before they made their decision. The result: Those who viewed the movie with the robot were more likely to say that they would buy humanoid robots that assist the elderly.

More investors are setting their sights on the financial technology (Fintech) arena. According to consulting firm Accenture, investment in Fintech firms rose by 10 percent worldwide to the tune of $23.2 billion in 2016. China is leading the charge after securing $10 billion in investments in 55 deals which account for 90 percent of investments in Asia-Pacific. The US came second taking in $6.2 billion in funding. Europe, also saw an 11 percent increase in deals despite Britain seeing a decrease in funding due to the uncertainty from the Brexit vote.

With the progressing year, the technology diversified ways in which we could communicate and retrieve the information from the pocket fitting devices. Technologies such as IoT, automation, and cognitive computing moved beyond the conceptual stages in 2016. As the year takes up, companies throughout the world are developing their business strategies. In order to move forward in the competition, companies are turning towards major investments in technology. The world's biggest consumer technology convention, CES is one of the best places to find a handful of key technologies. CES 2017 finished another spectacular year with pioneering technology trends including smart homes to self-driving cars. This year is assumed to bring transformative technology trends for us to explore and invest in. AI, also known as Artificial Intelligence has been studied for decades and now the vision of transforming insentient objects into intelligence is gradually becoming a reality. AI based Innovations are now pondering into the market and becoming part of our daily lives with quick adaptability. Artificial intelligence assists humans and handles the tasks flawlessly, without interrupting your comfort. Whether to set an alarm, or remind you of something important, or to play your favorite music or to read out general news for you or to find your phone, AI can make the task more convenient and smart. Sit back and relax while you command your device to do things for you.

Bayesian network structure learning is often performed in a Bayesian setting, by evaluating candidate structures using their posterior probabilities for a given data set. Score-based algorithms then use those posterior probabilities as an objective function and return the maximum a posteriori network as the learned model. For discrete Bayesian networks, the canonical choice for a posterior score is the Bayesian Dirichlet equivalent uniform (BDeu) marginal likelihood with a uniform (U) graph prior (Heckerman et al., 1995). Its favourable theoretical properties descend from assuming a uniform prior both on the space of the network structures and on the space of the parameters of the network. In this paper, we revisit the limitations of these assumptions; and we introduce an alternative set of assumptions and the resulting score: the Bayesian Dirichlet sparse (BDs) empirical Bayes marginal likelihood with a marginal uniform (MU) graph prior. We evaluate its performance in an extensive simulation study, showing that MU+BDs is more accurate than U+BDeu both in learning the structure of the network and in predicting new observations, while not being computationally more complex to estimate.