Not even your vibrator is safe from hackers - who could take it over remotely. Experts have warned that the new generation of dildos are vulnerable because they are connected to the Internet. They said that hackers could exploit the web connection which links up to an app and allows your partner to pleasure you from anywhere in the world. Hacking a vibrator raises the prospect of a total stranger being in control during a person's most intimate moment. Computer security researchers said that such a hack could constitute a sexual assault if it were to take place.

The invention of religion is a big bang in human history. Gods and spirits helped explain the unexplainable, and religious belief gave meaning and purpose to people struggling to survive. But what if everything we thought we knew about religion was wrong? What if belief in the supernatural is window dressing on what really matters--elaborate rituals that foster group cohesion, creating personal bonds that people are willing to die for. Anthropologist Harvey Whitehouse thinks too much talk about religion is based on loose conjecture and simplistic explanations. Whitehouse directs the Institute of Cognitive and Evolutionary Anthropology at Oxford University. For years he's been collaborating with scholars around the world to build a massive body of data that grounds the study of religion in science. Whitehouse draws on an array of disciplines--archeology, ethnography, history, evolutionary psychology, cognitive science--to construct a profile of religious practices. Whitehouse's fascination with religion goes back to his own groundbreaking field study of traditional beliefs in Papua New Guinea in the 1980s.

We survey existing rules of thumb, propose novel methods, and comprehensively evaluate a number of solutions to the problem of calculating the cost to serve each location in a single-vehicle transport setting. Cost to serve analysis has applications both strategically and operationally in transportation settings. The problem is formally modeled as the traveling salesperson game (TSG), a cooperative transferable utility game in which agents correspond to locations in a traveling salesperson problem (TSP). The total cost to serve all locations in the TSP is the length of an optimal tour. An allocation divides the total cost among individual locations, thus providing the cost to serve each of them. As one of the most important normative division schemes in cooperative games, the Shapley value gives a principled and fair allocation for a broad variety of games including the TSG. We consider a number of direct and sampling-based procedures for calculating the Shapley value, and prove that approximating the Shapley value of the TSG within a constant factor is NP-hard. Treating the Shapley value as an ideal baseline allocation, we survey six proxies for it that are each relatively easy to compute. Some of these proxies are rules of thumb and some are procedures international delivery companies use(d) as cost allocation methods. We perform an experimental evaluation using synthetic Euclidean games as well as games derived from real-world tours calculated for scenarios involving fast-moving goods; where deliveries are made on a road network every day. We explore several computationally tractable allocation techniques that are good proxies for the Shapley value in problem instances of a size and complexity that is commercially relevant.

Preterm births occur at an alarming rate of 10-15%. Preemies have a higher risk of infant mortality, developmental retardation and long-term disabilities. Predicting preterm birth is difficult, even for the most experienced clinicians. The most well-designed clinical study thus far reaches a modest sensitivity of 18.2-24.2% at specificity of 28.6-33.3%. We take a different approach by exploiting databases of normal hospital operations. We aims are twofold: (i) to derive an easy-to-use, interpretable prediction rule with quantified uncertainties, and (ii) to construct accurate classifiers for preterm birth prediction. Our approach is to automatically generate and select from hundreds (if not thousands) of possible predictors using stability-aware techniques. Derived from a large database of 15,814 women, our simplified prediction rule with only 10 items has sensitivity of 62.3% at specificity of 81.5%.

Many people spend their childhood peering up into the vast expanse of the sky, dreaming of growing up to become an astronaut. But these dreams could be dashed as the idea of people venturing into space will one day become a distant memory, according to a report published today. Robots will eventually have enough capabilities to replace humans and other animals on space missions, experts have said. Robots will eventually have enough capabilities to replace humans and other animals on space missions, experts have said. Russia is planning to send robots to the ISS to do jobs that are too dangerous for astronauts.

Artificial intelligence and robotics have enjoyed a resurgence of interest, and there is renewed optimism about their place in our future. But what do they mean for us? You submitted your questions about artificial intelligence and robotics, and we put them – and some of our own – to The Conversation's experts. It is 100% plausible that we'll have human-like artificial intelligence. I say this even though the human brain is the most complex system in the universe that we know of. But there are also no physical laws we know of that would prevent us reproducing or exceeding its capabilities. Popular AI from Issac Asimov to Steven Spielberg is plausible. What the question doesn't address is: when will it be plausible?

VIENTIANE – Southeast Asian nations are in unparalleled disarray over Beijing's saber-rattling in the South China Sea, analysts and insiders say, with the fractures set to deepen as staunch China ally Laos hosts top regional diplomats this weekend. U.S. Secretary of State John Kerry and Chinese Foreign Minister Wang Yi are among the delegates due to fly in from Sunday for two days of meetings in Vientiane, the capital of the communist nation. The South China Sea is set to cast a long shadow over the summit that is hosted by the 10-member Association of Southeast Asian Nations (ASEAN). Earlier this month a U.N.-backed tribunal found there was no legal basis for China's claims to most of the strategic and resource-rich seas -- a ruling rejected as "waste paper" by Beijing. ASEAN prides itself on consensus diplomacy but divisions have never been starker with Beijing blamed for driving a wedge between members. The Philippines brought the international arbitration case, while fellow ASEAN members Vietnam, Malaysia and Brunei also have competing claims to parts of the sea.

Big data overload is already beginning, but analytics can't do everything. So focus on business needs, experiment, and look for actionable insights, say government's data experts. How DIBP is using AI to measure risk. The astounding possibilities of the big data era and the internet of things are only just beginning to emerge and already there is a problem: data overload. Artificial intelligence is a big part of successful new data-driven approaches to public sector challenges, like the Department of Immigration and Border Protection's Border Risk Identification System, and might also be the key to extracting business value from the data deluge.

The risk that your job will be automated out of existence depends, of course, on the job you do. For many, that's already happened--typically in roles and industries where the name of the game is eliminating human error and improving efficiency. But in order for artificial intelligence to take a much bigger bite out of the knowledge-economy workforce, the technology may need to start behaving more like humans, not less. And that will mean mastering one key behavior: small talk. Sociolinguists involved in the Language in the Workplace Project at Victoria University of Wellington in New Zealand have discovered that people switch naturally between "transactional" talk--such as discussing a business goal--and "interactional" talk, like when you encourage or show concern for a distressed coworker.

NEW YORK, NY - 20 Jul 2016: Today, Macy's announced the pilot of "Macy's On Call," a mobile web tool that allows customers to interact with an AI-powered platform, via their mobile devices. "Macy's On Call" taps IBM (NYSE: IBM) Watson, via Satisfi, an intelligent engagement platform, to deliver a first-of-its-kind solution that will enhance the customer in-store shopping experience at 10 test locations nationwide. A Macy's team member tests out Macy's On Call, a new mobile web tool powered by IBM Watson and Satisfi. Macy's On Call allows customers to input questions in natural language about each participating store's unique product assortment, services and facilities and then receive a customized response to the inquiry. Macy's is currently piloting the new tool in 10 store locations across the country.