DJI is inviting state, local and tribal governments to consider partnering with the company as they apply to take part in the Federal Aviation Administration's (FAA) new UAS Integration Pilot Program. According to DJI, the program smartly provides opportunities for government and industry to experiment with advanced drone operations and test new forms of airspace management. The company notes it is pleased that the program will also help inform policymakers on regulatory approaches to safe drone adoption. "DJI has worked for years with government officials around the world to help develop reasonable, safety-enhancing public policies while keeping open the pathways to innovation," says Brendan Schulman, DJI's vice president of policy and legal affairs. "We would very much value the opportunity to work with U.S. state, local and tribal governments to develop smart and comprehensive strategies for expanding how drones can benefit their constituents while properly managing their integration into the airspace."
As AI-powered automated personal assistants have increasingly found their way into our lives, their tremendous power at certain tasks has often been undermined by their inability to fuse the data available to them into a comprehensive view of our lives and, perhaps most importantly, their inability to actively anticipate our needs rather than merely passively respond to queries posted to them. How might adding proactive anticipatory reasoning and the ability to look across data allow our future AI assistants to be far more useful in our day-to-day lives? As I was taking a cab to the airport this past Friday, I noticed everywhere around me preparations for the Marine Corp Marathon, which I had completely forgotten was this weekend and which meant that when I returned early Sunday morning I was going to have difficulty getting home given all of the road closures in my neighborhood. Yet, despite having access to my calendar, which clearly noted my return flight arrival on Sunday, and being able to tell me that there was a giant marathon running directly through my neighborhood on Sunday with road closures all around my home, my AI assistant was unable to connect the two and anticipate that I might have trouble getting home via my usual route on Sunday. Heading to a meeting a week ago, my assistant could tell me there was a huge traffic delay along the way when I explicitly asked for a traffic update, but was unable on its own to connect that to my next calendar appointment and proactively suggest 30 minutes earlier that I leave half an hour early to avoid being late.
That means if you can't afford a lawyer to, say, help you appeal a parking ticket, you're left adrift in a sea of confusing legalese and lawbooks. You're stuck doing your own legal research to determine whether or not your parking ticket was fair. Enter DoNotPay, an app that plays 20 Questions with the user to help them appeal their parking tickets. Were the "no parking" signs confusing? Was it an emergency situation?
Paint-on-the-floor pedestrian crossings don't cut it anymore. They are outdated, and the cause of 20 incidents a day in the UK. Architectural firm Umbrellium reckons it's got a solution: a sensor-packed digital crossing that responds to your movements. "We've been designing a pedestrian crossing for the 21st century," says Usman Haque, Umbrellium's founding partner. "Crossings that you know were designed in the 1950s, when there was a different type of city and interaction."
This system is a real-time adaptive traffic control system, which combines artificial intelligence (AI) and traffic theory to optimize highly dynamic traffic flow in complex real-world urban road networks. As the lead inventor of the system, Dr. Xie has created its core control engine, which combines schedule-driven intersection control (SchIC) with decentralized coordination mechanisms (in the sense of Internet of Smart Intersections, an instance of smart IoT). He has also designed and realized the strengthening strategies to enable the real-world operations of the system in the field. His relevant research work also includes: multimodal traffic control (assisted with machine learning and computer vision techniques), integration with decentralized route choice models and dynamic congestion pricing protocols, vehicle-to-infrastructure (V2I) communication with connected vehicles, energy efficiency optimization, and data-driven self-learning and active congestion management based on performance measurement. The system has been running since June 2012.
Umbrellium, a UK team of urban technologists, was commissioned by Direct Line, Saatchi & Saatchi London, and Mischief PR to create a responsive pedestrian crossing. Powered by computer vision and LEDs, this smart crosswalk is able to track everything that is happening on the road and adapt its LED surface accordingly. It has the potential to even warn people distracted by their phones or reduce the blind spots of drivers by displaying the anticipated route of passengers moving unexpectedly.
Dubai: Powered by artificial intelligence (AI), self-driving electric vehicles may soon turn up at Dubai International airport to help airside crew run its operations. The "robocars" would help the mega-facility run more smoothly, and cement the airport's status the world's busiest airport in terms of international passenger traffic in 2016, and en route to hitting 89 million passengers this year. Not only that, AI may soon also help airline passengers pick their on-board meals, too, or schedule a pickup by an airport taxi chauffeur -- or guide passengers through last-minute duty-free shopping. These are some of the AI-driven future projects now being developed by Emirates, it was announced on Saturday. The AI projects were highlighted during the visit of His Highness Shaikh Mohammad Bin Rashid Al Maktoum, Vice President and Prime Minister of the UAE and Ruler of Dubai, to the Emirates Airline's lab at the Dubai Future Accelerators facility in Emirates Towers.
Kakao Mobility has rebranded its cab chauffeur service KakaoTaxi and updated it to include all its existing transportation services along with the new addition of parking. Now called Kakao T, users can call cabs, call for substitute drivers, navigate, and search for parking spaces all through the one app, the company said. They can access any of those services through a tab bar at the top of the app. Payments will be automatically paid through Kakao Pay, the firm said. The new parking service searches for available parking spaces in real time, and will suggest up to five parking spaces around the user's specified location.
Air traffic controllers have it bad enough managing full-size aircraft, but they face an extra headache when you throw drones in the mix. You see, controllers get calls when drone pilots want approval to fly within 5 miles of an airport -- and with an average of 250 reported close encounters per month, it's clear that some aren't even bothering with the formalities. The FAA has clearly had enough of this, as it recently made an emergency request to bypass the usual regulations and use an automate system to approve drone flights in restricted airspace. Instead of waiting 2-3 months for clearance (or calling in at the last possible moment), you could get the A-OK within 5 minutes. There's no certainty that the FAA will get what it wants, but it does make a convincing case.