Europe
Futuristic Simulation Finds Self-Driving "Taxibots" Will Eliminate 90% Of Cars, Open Acres Of… -- The Ferenstein Wire
A fascinating new simulation finds that self-driving cars will terraform cities: 90% of cars will be eliminated, acres of land will open up, and commute times will drop 10%. A team of transportation scientists at the Organization for Cooperation and Development took data on actual trips in Lisbon, Portugal and looked at how a fleet of self-driving, shared "taxibots" would change city landscape [PDF]. These "taxibots", the researchers imagine, are a marriage of mass carpooling and UPS delivery intelligence: they constantly roam throughout cities and match carpool routes with mathematical elegance. Ultimately, they estimate, 9 out of 10 cars would be completely unnecessary -- as would public transit. "Nearly the same mobility can be delivered with 10% of the cars TaxiBots combined with high-capacity public transport could remove 9 out of every 10 cars in a mid-sized European city," the paper concludes.
Google Wants to Use Artificial Intelligence to Help Prevent Blindness
Google googl is teaming up with the U.K.'s government health care system to see whether its artificial intelligence tech can help detect and prevent eye diseases and blindness. The tech giant announced the collaboration between subsidiary DeepMind (acquired in 2014) and the National Health Service (NHS) in a blog post on Tuesday. DeepMind uses various algorithms to help machines learn from the data they analyze. Google will use DeepMind to pore over 1 million anonymous eye scans collected by the Moorfields Eye Hospital NHS Foundation Trust over the years with the goal of creating a faster, more efficient method for analyzing the data and coming to an earlier diagnosis. Click here to subscribe to our new Brainstorm Health Daily Newsletter.
Life in the kill box: 'Eye in the Sky' targets the ethics of drone strikes
You might think of drones as friendly things, like the DJI Phantom you fly yourself or those Amazon drones that could soon be delivering your groceries. Think again when it comes to military drones. An MQ-9 Reaper unmanned aerial vehicle with a 66-foot wingspan can loiter 50,000 feet above the Earth for a day at a time, poised to hit a target with a devastating 3,800 pounds of Hellfire missile payload. But as with all weapons, the awesome firepower of a drone needs to be aimed accurately. "It's less about technology than about strategy, about the way it's deployed," said Gavin Hood, director of drone drama "Eye in the Sky," out now on DVD and Blu-ray.
WhatsApp privacy under threat as France and Germany push EU to allow states to break encryption
Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display
U.N. plans guidelines to combat hacking of self-driving cars: source
A U.N. working party will adopt guidelines as soon as November for preventing cyberattacks on network systems used in self-driving vehicles, a source involved in the negotiations said. The guidelines will call on automakers to introduce specific measures for alerting drivers when attacks are detected and preventing the loss of control over the vehicles, according to the source. Discussions on the topic at the World Forum for Harmonization of Vehicle Regulations in Geneva has been led by Japan and Germany, while the United States is planning to establish its own safety regulations separate from the U.N. measures. Autonomous driving, which frees drivers from controlling a vehicle, involves artificial intelligence technology and requires use of a network of electronic devices that collect and exchange data known as the internet of things. But such networks have proven vulnerable to hackers trying to take over self-driving vehicles.
Job Vacancy at the University of Surrey: Graduate Cyber Security Software Engineer (KTP Associate, Clearswift Ltd)
Interested in shaping the future of cyber/data security and having an impact on the UK's economy?Are you an up and coming cyber security engineer with an interest in artificial intelligence and machine learning in a business context, looking to accelerate your career? Are you interested in understanding the role of human behaviour in cyber security? If so this may be the role for you. We're looking to appoint an enthusiastic and dynamic graduate. You'll lead/deliver the 36-month Knowledge Transfer Partnership (KTP) project between Clearswift Ltd and the University of Surrey, working with both the company and university academics.
The Future of Healthcare Is Arriving--8 Exciting Areas to Watch
The blending of home-based diagnostic platforms with medical care at home is arriving. The Tricorder XPRIZE competition is well underway, with several teams set to compete in the final stages. Leading contenders include CloudDx and Scanadu, a company started at our first Exponential Medicine program, have successfully leveraged crowdfunding to enable their clinical trials. Gale by 19Labs is a next generation "first aid kit meets home health center" (see the below video for a demo) exemplifying how integration of home diagnostics paired with menu-driven (and potentially AI-driven) assistance and optional telemedicine connectivity can provide increased access to home-based diagnosis, triage and management of minor bumps and scrapes and also more complex medical conditions. Interactive and engaging, from coaching on diet and nutrition to reminding you to take your medications or offering psychological support and follow up -- the chatbots are on their way.
Humans are still quicker than robots at learning to drive
Self-driving cars may be threatening to take the jobs of millions of human drivers, but there are still some areas where mankind has the upper hand. An artificial intelligence algorithm designed to teach an autonomous car to drive managed to do so using just 72 hours of driving data. While that may be impressive for a robot, it is still twice the amount of time it takes the average human to learn to drive. Computer giant Nvidia developed a convolutional neural network (CNN) to learn how to steer a car in any weather condition, using only the data taken from cameras and a car's steering wheel. Nvidia's project, called Dave, first began in 2015 in an effort to bypass the need to program specific features--such as lane markings and guardrails--into self-driving software.