Huawei boss: Smartphones will be totally different by 2020. Here's what's going to change Rise of the Machines: is Artificial Intelligence Manipulating Our Minds? Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

At the end of Star Wars Episode V: The Empire Strikes Back, Luke Skywalker feels when a needle pricks his newly-installed bionic hand. Researchers report today in the journal Science Translational Medicine that they can do something similar: stimulating regions of a human test subject's brain with electrodes can recreate the perception of touch in a robotic hand. This year, about 280,000 people in the United States alone are living with a spinal cord injury, according to the National Spinal Cord Injury Statistical Center. Depending on the severity, damaged nerve connections lead to effects ranging from a partial loss of feeling to complete loss of motion in different limbs. "If you lose that sense of touch, you have a really difficult time" grabbing, holding, and manipulating different objects, says Richard Gaunt, a neuroengineer at the University of Pittsburgh who works on touch feedback for prosthetics.

At the Hotel Parco dei Principi in Rome, in September of 1973, the Hungarian mathematician Paul Erd?s approached his friend Richard Guy with a request. He said, "Guy, veel you have a coffee?" It cost a dollar, a small fortune to a professor of mathematics at the hinterland University of Calgary who was not much of a coffee drinker. Yet, as Guy later recalled--during a memorial talk following Erd?s's death at age 83 two decades ago--he was curious why the great man had sought him out. Guy and Erd?s were in the Eternal City for an international colloquium on combinatorial theory, so Erd?s--who sustained himself with espresso and other stimulants, worked on math problems 19 hours a day, and in his lifetime published in excess of 1,500 papers with more than 500 collaborators--most likely had another problem on the go.

While Star Trek-style teleportation is still a long way off, researchers have revealed a major breakthrough in the field of quantum travel. Two separate teams have transferred quantum information over several miles of fibre optic networks in an urban network. The results could lead to more secure bank accounts, a faster internet and possibly even open the door to the controversial idea of human teleportation. One of the potential applications for quantum teleportation is a network of quantum computers (illustrated) and a'quantum internet' that is far faster and much more secure than current networks When atoms are'entangled' the measurement of one of the atoms will not only cause it to'pick' one state, but it will also instantaneously cause the atoms it is entangled with to do the same, even if that atom has not been measured itself. This means we automatically know information about all the atoms that are entangled at once, just by measuring one, and it does not matter how far apart in space the two entangled atoms are.

A variety of technologies have emerged in the last decade that make it easier and cheaper than ever before to make representations of everyday mobile embodiment. Increasing numbers of people are quantifying and self-tracking their everyday lives recording behavioural, biological and environmental data (Beer, 2016; Neff & Nafus, 2016) using a variety of technologies, for example: • lightweight wearable cameras such as the GoPro allowing users to record footage of their most banal everyday activities; • devices such as the Fitbit and Apple Watch bringing continuous physiological monitoring out of the medical realm and into mainstream culture; • apps like Strava allowing people to quantify their cycling, running and walking activities; • lightweight devices for measuring brain activity (EEG) and stimulation (EDA) becoming sufficiently robust and discreet to be used in non-lab environments. None of the underlying technologies are novel, but as they are made accessible in cheaper and more user-friendly packages, new techniques and sources of data are becoming more readily available for geographical analysis. Engagement with these technologies has created a rapidly expanding area of investigation within geography. The emergence of the quantified-self poses both opportunities and dilemmas for geographical thought. We wish to move past simplistic protests that dismiss such technology as offering another take on Haraway's (1988) 'god trick', presenting partial, and highly situated data as objective truth. Instead, this session will build on the potential identified by Delyser and Sui (2013) to take more inventive approaches toward mobile methods. The focus will be on how these technologies can be engaged with by critical geographers to bring new perspectives to their analysis of everyday embodiment.

CBS passed on the show during the pitch process. NBC saw the first pilot, an episode called "The Cage" starring Jeffrey Hunter as Captain Christopher Pike, and rejected it. The network asked for another pilot, but creator Gene Roddenberry was already working on other projects, including a cop show called Police Story. And even though NBC asked for a second pilot, the show's studio, Desilu Productions, didn't want to pony up any cash to make it. Star Trek, it seemed, would never make it to air.

Long ago, as the crew of the Enterprise explored the final frontier, one man boldly did what few--if any--actors had ever done before: construct a language from scratch. But while James Doohan (Scotty) may have invented a form of Klingon on the set of Star Trek: The Motion Picture, the real credit for its enduring legacy goes to linguist Marc Okrand, who started developing Klingon for Trek films in 1984, bringing constructed languages ("conlangs") to generations of new enthusiasts, from Trekkers to Dune fans to Na'vi admirers. People constructed languages before Klingon: J.R.R. Tolkien created Quenya in 1915, later used in The Hobbit and Lord of the Rings; Edgar Rice Burroughs invented Barsoomian in 1912 for A Princess of Mars; St. Hildegard of Bingen fashioned the Lingua Ignota in 1200, crediting some angels for divine inspiration. But as part of a TV show beloved by millions of viewers, Okrand's Klingon brought conlangs to the popular lexicon. Much of Klingon's appeal comes from its lexical novelty.

Most Uber riders know the pain of watching the tiny car in the app drive around in circles before reaching the blue dot. Now, the ride-sharing giant is teaming up with DigitalGlobe, a vendor of space imagery and geospatial content, 'to help identify and improve pickup and drop-off locations'. Using constellation sensors, the duo will access imagery and location intelligence to create high resolution maps of the area - giving drivers the ability to see exactly where you are. Uber is teaming up with DigitalGlobe, a vendor of space imagery and geospatial content, 'to help identify and improve pickup and drop-off locations'. Uber and DigitalGlobe have teamed up'to help identify and improve pickup and drop-off locations'.

In the first decades of the 20th century, people around the world began succumbing to an entirely new cause of mortality. These new deaths, due to the dangers of the automobile, soon became accepted as a lamentable but normal part of modern life. A hundred years later, with 1.25 million people worldwide (about 30,000 in the U.S.) being killed every year in road crashes, there's now an effort to reject the perception that these deaths are normal or acceptable. As reported in a recent New York Times article, a growing number of safety advocates, government officials, and journalists are moving away from the phrase "car accident" on the grounds that it presumes that the drivers involved are blameless--a presumption that is correct only 6 percent of the time, according to a report by the U.S. Department of Transportation. The vast majority of such incidents are caused by drivers who make mistakes, take risks, or drive while distracted or impaired.

Predicting ambulance demand accurately at a fine resolution in time and space (e.g., every hour and 1 km$^2$) is critical for staff / fleet management and dynamic deployment. There are several challenges: though the dataset is typically large-scale, demand per time period and locality is almost always zero. The demand arises from complex urban geography and exhibits complex spatio-temporal patterns, both of which need to captured and exploited. To address these challenges, we propose three methods based on Gaussian mixture models, kernel density estimation, and kernel warping. These methods provide spatio-temporal predictions for Toronto and Melbourne that are significantly more accurate than the current industry practice.