Next generation roadside detectors could soon be snapping motorists using smartphones behind the wheel without them realising, say police in Australia. High tech cameras that can detect the presence of the gadgets in the hands of drivers could be commonplace in the near future, they say. Drivers distracted by talking or texting on the phone are one of the biggest dangers on the road, and the new technology could help to crack down on the practice. It's not exactly clear how the cameras will work, but it seems likely they will incorporate image recognition AI software. Next generation roadside detectors could soon be snapping motorists using smartphones behind the wheel, say police in Australia.

It's no secret that the U.S. spends a lot on health care, around 18 percent of its GDP or $9,400 per capita, nearly double what other high-income countries such as Canada, UK, Germany, and Australia spend. But more spending doesn't necessarily yield better results. In fact, studies show that many of the countries that spend less than the U.S. see better outcomes in the overall health of their citizens. According to a new report published by the Journal of the American Medical Association (JAMA), a little less than half the health care expenditures in the U.S. go into planning, regulating, and managing medical services at the administrative level. And industry experts believe we can reduce a lot of this spending with the help of artificial intelligence.

Apple's HomePod doesn't appear to be as big of a hit as the tech giant had hoped. In January, the firm finally released its smart home speaker that was bid as a rival to the Amazon Echo and Google Home. But by last month, Apple slashed sales forecasts for the HomePod as inventory for the device began to pile up, Bloomberg reported, citing sources close to the situation. In January, the firm finally released its smart home speaker that was bid as a rival to the Amazon Echo and Google Home. It also cut HomePod orders with one of its manufacturers that assembles the device for the company, Inventec, according to Bloomberg.

When 26-year-old Clementine Jacoby thinks back on her childhood, she remembers using printed maps to navigate strange new cities -- one of the many tools that smartphones have rendered largely obsolete. "My parents, I think, are just chronically bored," she says in a conference room at Google's New York offices. "We moved around a ton, and I was also sort of an agitated and ambitious kid and traveled a bunch on my own." It's perhaps fitting then that, after a year-long stint as a circus performer and graduating from Stanford University with a degree in symbolic systems (a program that focuses on a combination of cognitive science, artificial intelligence, and human-computer interaction), Jacoby ended up working as a product manager for Google Maps. It's a role that Jacoby feels like was made for her.

At Digital Global, 80TB of high resolution satellite images are analysed each day to make sense of changes in physical environments, facilitate urban planning and even identify wild fires in Australia. Discover why European cloud adopters are dissatisfied with their cloud providers' security and how providers are focusing on security in the design phase of products and introducing new security mechanisms. You forgot to provide an Email Address. This email address doesn't appear to be valid. This email address is already registered.

April 12, 2018 --Visit this online directory of the nearly 200 faculty members at Hampshire College and you'll find that, listed between a professor of communications and a visiting professor of video and film, is a petri dish of yellow schmutz. The schmutz is a plasmodial slime mold, Physarum polycephalum, a glob of living cells that exhibits decidedly non-schmutzlike behavior, such as solving mazes and anticipating periodic events – so much so that in 2017 Hampshire, a private liberal arts school in Amherst, Mass., awarded it a position of "visiting non-human scholar." The abilities of non-animals to remember events, recognize patterns, and solve problems are prompting scientists and philosophers to rethink what thinking is. In the 20th century, science demolished the notion that humans are the only animals to exhibit complex thinking; in the 21st, biologists are beginning to see cognition in other biological kingdoms – not just slime molds, but also plants. This shift in thought could not only help scientists better understand cognition's workings and its origins, but it could also help in the search for intelligence beyond Earth.

A pepper-picking robot named Harvey is being developed by Queensland University of Technology with the aim of reducing crop waste.

With high-volume transactional data, historical insights, accessible computer power and new analytic tools, few industries are better suited for using artificial intelligence and machine learning than banking. Yet, few organizations have fully leveraged the many ways machine learning can improve back office operations or the consumer experience. Subscribe to The Financial Brand via email for FREE!Financial services organizations realize they have the potential to apply advanced analytics for both internal and external benefits since they have large data sets and experience with analytical tools. From payment services to everyday banking, insight is captured that can make machine learning more powerful. The good news is that banks and credit unions state that they are going to apply the data at their disposal to improve the customer experience, first and foremost.

In the two months since Richard Watson strapped 200 remote-control-sized transmitters around his cows' necks, an artificial-intelligence system named Ida has pinged his phone with helpful alerts: when his cows are chewing the cud, when they're feeling sick, when they're ready for insemination. "There may be 10 animals out there that have a real problem, but could you pick them?" he said one morning, standing among a grazing herd of dairy cattle wearing what he calls "cow Fitbits." But on the neighboring pastures here in rural Georgia, other farmers say they aren't that impressed. When a cow's in heat, they know she'll start getting mounted by her bovine sisters, so they smear paint on the cows' backsides and then just look for the incriminating smudge. "I can spot a cow across a room that don't feel great just by looking in her eyes," said Mark Rodgers, a fourth-generation dairy farmer in Dearing, Georgia, whose dad still drives a tractor at 82. "The good Lord said, 'This is what you can do.' I can't draw, paint or anything else, but I can watch cows."

We investigate the effect of explicitly enforcing the Lipschitz continuity of neural networks. Our main hypothesis is that constraining the Lipschitz constant of a networks will have a regularising effect. To this end, we provide a simple technique for computing the Lipschitz constant of a feed forward neural network composed of commonly used layer types. This technique is then utilised to formulate training a Lipschitz continuous neural network as a constrained optimisation problem, which can be easily solved using projected stochastic gradient methods. Our evaluation study shows that, in isolation, our method performs comparatively to state-of-the-art regularisation techniques. Moreover, when combined with existing approaches to regularising neural networks the performance gains are cumulative.