Consider the plight of your average camera-equipped computer, like your laptop, phone, or security camera. It might want to be smart, but for its lenses to really learn, it has to have access to a learning system-- a neural network or artificial intelligence. Many of these systems are shared in the cloud. Now, thanks to a new product released this week by Movidius, camera-enabled computers can be locally empowered with intelligent visual processing. It doesn't need to be cooled, barely uses energy, and learns locally. Says CEO Remi El-Ouazzane, "The reason we have introduced the Fathom Neural Compute Stick is that it allows a much wider segment of companies, researchers and hardware hackers to be able to implement machine learning without needing to be a multibillion-dollar OEM device manufacturer."

LAC, LA BICHE ALBERTA – Fire-ravaged Alberta will use drones to investigate the cause of a huge blaze that has scorched the Canadian province and displaced some 88,000 people. Elevated Robotic Services, which has also deployed drones for mining and construction companies, has contracts with the Alberta government and insurance broker Hub International Ltd., said Mat Matthews, the Edmonton company's operations and safety manager. The drones use cameras outfitted with infrared, ultraviolet and traditional optical cameras to pinpoint the hottest part of the fire and trace it to its source based on time, wind and other factors. The cameras will shoot about 800 images, which are then stitched together in a process called fire-mapping. "It's like Google Maps but 100 times better," Matthews said at a police roadblock south of Fort McMurray, Alberta, as smoke from the 156,000-hectare (385,000-acre) fire blackened the sky.

Professional stylists do the job for them and the personal shopping service ships the new clothes to their door. That combo is behind the success at Stitch Fix, a San Francisco-based online subscription and shopping service founded in 2011. "I think it's the single most salient aspect of our company," said Eric Colson, chief algorithms officer at Stitch Fix. "Our business is getting relevant things into the hands of our customers. This is the one thing we're going to be best in the world at. We couldn't do this with machines alone. We couldn't do this with humans alone. We're just trying to get them to combine their powers."

Up to 1.6 million patients have had their private medical files passed on to Google without their permission, it was revealed today The internet giant was given the data by one of the largest NHS trusts to develop an app to monitor possible kidney failure. The encrypted information includes the names and medical histories of every patient who had stayed in hospital overnight or attended A&E in the past five years. None of the patients was told beforehand and the revelation has exposed the ease with which private companies can obtain highly sensitive medical information without consent. Privacy campaigners told MailOnline that the revelations exposed the public's lack of power and control over their own personal details. Experts say the deal between Google and the Royal Free NHS Trust could set a precedent for patient data to be routinely passed on to private firms.

Imagine a runaway trolley barreling down on five people standing on the tracks up ahead. You can pull a lever to divert the trolley onto a different set of tracks where only one person is standing. Is the moral choice to do nothing and let the five people die? Or should you hit the switch and therefore actively participate in a different person's death? In the real world, the "trolley problem" first posed by philosopher Philippa Foot in 1967 is an abstraction most won't ever have to actually face. And yet, as driverless cars roll into our lives, policymakers and auto manufacturers are edging into similar ethical dilemmas.

During the past nine months, an Nvidia engineering team built a self-driving car with one camera, one Drive-PX embedded computer and only 72 hours of training data. Nvidia published an academic preprint of the results of the DAVE2 project entitled End to End Learning for Self-Driving Cars on arXiv.org The Nvidia project called DAVE2 is named after a 10-year-old Defense Advanced Research Projects Agency (DARPA) project known as DARPA Autonomous Vehicle (DAVE). Although neural networks and autonomous vehicles seem like a just-invented-now technology, researchers such as Google's Geoffrey Hinton, Facebook's Yann Lecune and the University of Montreal's Yoshua Bengio have collaboratively researched this branch of artificial intelligence for more than two decades. And the DARPA DAVE project application of neural network-based autonomous vehicles was preceded by the ALVINN project developed at Carnegie Mellon in 1989.

After raising 25 million in funding, Beijing-based ZeroZero Robotics came out of stealth mode and launched their Hover Camera just days before the GMIC Beijing 2016 trade show, the'CES of China.' Co-founder MQ Wang, a Stanford PhD alum focused on machine learning and natural language processing, was inspired to create the autonomous Hover Camera after watching a documentary about a man who walked 1600 miles solo across Australia. Using a machine learning model trained on an NVIDIA Tesla K40 GPU, the camera automatically tracks your face to take photos and capture videos wherever you go. "We wanted the user experience to be very natural -- easy to use," MQ told Mashable. "We wanted to make sure the learning curve for users is minimum. So there is no remote control or anything.

All kinds of things are hooked up to the Internet these days, but Jerry Chow's computer stands out. Chilled by liquid helium, his superconducting processor uses quantum physics to circumvent rules of everyday reality that limit the power of conventional computers. Chow manages IBM's quantum computing group at the company's Thomas J. Watson research center in Yorktown Heights, New York. The team launched a website today with an interface that lets outside programmers and researchers test algorithms on the new chip. Chow says he wants to get them ready for the undetermined point in the future when this exotic kind of cloud computer is ready for practical use.

A nap is a short period of sleep, typically taken during daylight hours as an adjunct to the usual nocturnal sleep period. Naps are most often taken as a response to drowsiness during waking hours. Cultural attitudes toward napping during the work day vary. In many Western cultures, children and the elderly are expected to nap during the day and are provided with designated periods and locations to do so. In these same cultures, most working adults are not expected to sleep during the day and napping on the job is widely considered unacceptable.[citation

Artificial intelligence technology are looking for ways to transform the fast food industry and KFC introduces this innovation in its new store branch in Shanghai, China. Artificial intelligence (AI) first emerged in the late 1940s. But today, AI is transforming most if not all industries, including the foodservice industry. In fact, a company called Momentum Machines has created an AI-driven robot that can make one burger from scratch every 10 seconds in an hour. Artificial intelligence technology are looking for ways to transform the fast food industry and KFC introduces this innovation in its new store branch in Shanghai, China.