Researchers have discovered how our brain keeps track of time. They say a special network of brain cells expresses our sense of time within experiences and memories. It essentially provides timestamps for events, and keeps track of the order of them - rather like a filing system. The illustration shows the episodic time from the experience of a 4-hour-long ski trip up and down a steep mountain, including events that alter the skier's perception of time. The idea is that experienced time is event-dependent and may be perceived as faster or slower than clock time.The newly discovered neural record of experienced time is in the lateral entorhinal cortex (LEC) in green.

Poll People are more likely to comply with a robot's impassioned pleas to keep it switched on when the droid has previously been impersonal, than when it's been overly friendly. You might think folks would be less willing to pull the plug on a happy chatty bot begging to stay powered up, but you'd be wrong, much to the relief of us cold-hearted cynics. And this is all according to a study recently published in PLOS ONE. For this investigation, psychology academics in Germany rounded up 85 participants – an admittedly small-ish sample – made up of 29 men and 56 women, with an average age of 22. One at a time, they were introduced to a little desktop-sized humanoid robot called Nao, and were told interacting with the bot would improve its algorithms.

AT&T sent its asset tracking technology skyward, teaming with UK-based packaging company Softbox Systems to demonstrate how the IoT and drones can be used to transport temperature-sensitive medical supplies. In a trial conducted in Puerto Rico, an LTE-connected drone was used to transport Skypod, a thermal-insulated packaging set-up produced by Softbox Systems which includes a so-called smartbox running AT&T's IoT technology. AT&T said in a joint statement the IoT technology allowed the test team to track near real time temperature and location data on a web and mobile app dashboard. The monitoring system was designed to send alerts if the box's temperature shifted outside a certain range, or if the drone strayed outside of geofencing parameters. The operator said the smartbox also recorded light exposure data, which can be used to determine whether the box is open or closed, and can signal whether the package has been tampered with.

There are fears that tend to come up when people talk about futuristic artificial intelligence -- say, one that could teach itself to learn and become more advanced than anything we humans might be able to comprehend. In the wrong hands, perhaps even on its own, such an advanced algorithm might dominate the world's governments and militaries, impart Orwellian levels of surveillance, manipulation, and social control over societies, and perhaps even control entire battlefields of autonomous lethal weapons such as military drones. But some artificial intelligence experts don't think those fears are well-founded. In fact, highly-advanced artificial intelligence could be better at managing the world than humans have been. These fears themselves are the real danger, because they may hold us back from making that potential a reality. "Maybe not achieving AI is the danger for humanity," Tomas Mikolov, a research scientist for Facebook AI, said at The Joint Multi-Conference on Human-Level Artificial Intelligence in Prague on Saturday.

A global survey of C-level executives finds that AI is delivering real value to companies that use it across operations and within their core functions. Fueled by the buzz around powerful applications of artificial intelligence (AI), many business leaders are contemplating whether to introduce AI into their organizations. While practitioners and academics have outlined some of the strategic challenges of implementing AI, many executives are still seeking good models for how to generate competitive advantage from its application. To find out more about what contributes to successful AI adoption, we helped lead a survey by the McKinsey Global Institute of 3,000 C-level executives across 10 countries and 14 sectors. From that research, we identified five fundamental strategies for how to get the most out of AI's potential.

Fears that AI may destroy jobs don't seem to be resonating with professional workers in the office – at least various surveys find that around two thirds aren't worried. As for companies, they foresee some very specific areas where AI will come in handy. But is there too much complacency on this one? If the Chief Economist of the Bank of England is right, then there is. "You don't have to be mad to work here, but it helps," or so people have been saying for a very long time.

I have written several articles on Artificial Neural Networks, but they were just random articles on random concepts. This series of articles will give you a detailed idea of Artificial Neural Networks and concepts related to it. The resources and references to all the contents will be mentioned at the end of the series so you can study all of the concepts in depth. So, let's start with a very basic question, "What is AI and what are Artificial Neural Networks?" In this very first article in this series I will try to answer this basic questions and then we will go ahead in depth in further articles.

Artificial intelligence (AI) technologies advanced rapidly over the past several years. Governments around the world responded by developing AI strategies. France released its national AI strategy in March 2018, emphasising research funds, ethical issues, and inequality. China stated a goal of being the top AI country by 2030. The EU, Canada, Japan, the Obama administration, the Trump administration, and many others have put forth their own plans (Sutton 2018).

Pretty much every tech startup that boasts its use of artificial intelligence is actually focused on an ultra-specific problem. Visual effects company Digital Domain has an AI algorithm that automates and enhances video editing; healthcare startup Babylon developed an AI chatbot to answer the constant barrage of patient questions. They do what they're supposed to. But they'll never lead to something more, something bigger. No matter how great these AI systems sound, no startup will ever stumble upon artificial general intelligence (AGI), which is essentially a complete, human-like AI system that has become truly intelligent.

More than a dozen human rights groups have sent a letter to Google urging the company not to offer censored internet search in China, amid reports it is planning to again begin offering the service in the giant Asian market. The joint letter dated Tuesday calls on CEO Sundar Pichai to explain what Google is doing to safeguard users from the Chinese government's censorship and surveillance. It describes the censored search engine app, codenamed "Dragonfly", as representing "an alarming capitulation by Google on human rights. "The Chinese government extensively violates the rights to freedom of expression and privacy; by accommodating the Chinese authorities' repression of dissent, Google would be actively participating in those violations for millions of internet users in China," said the letter That follows a letter earlier this month signed by more than a thousand Google employees protesting the company's secretive plan to build a search engine that would comply with Chinese ...