Hyundai Motor Group, South Korea's automotive giant, said Monday that it has developed an artificial intelligence (AI)-based, driver-customized autonomous driving technology. Hyundai said in a statement that it developed the Smart Cruise Control-Machine Learning (SCC-ML) technology for the first time in the world that allows a partial driverless driving customized to a driver's driving pattern. The SCC-ML adds AI technology to the SCC function that is one of the Advanced Driver Assistance System (ADAS) technologies to allow a vehicle to drive at a set speed with a certain distance from other vehicles. Under the SCC-ML, a vehicle's machine learning function collects pieces of information through cameras and sensors about a driver's driving pattern, such as the distance from other vehicles, how fast the driver gains speed, and how quickly the driver responds to changed road conditions. Hyundai said the SCC-ML can realize the Level 2.5 autonomous driving technology beyond the Level 2 technology that includes a function of lane change.
Google is taking packages into the air to customers' homes. The first drone home deliveries of packages from Walgreens have started from Wing, the Alphabet subsidiary. Wing recently received an expanded Air Carrier Certificate from the Federal Aviation Administration allowing the first commercial air delivery service by drone directly to homes in the U.S. The FAA permissions are the first allowing multiple pilots to oversee multiple unmanned aircraft making commercial deliveries to the general public simultaneously. Collaborating with Federal Express and Virginia retailer Sugar Magnolia, Wing began delivering over-the-counter medication, gifts and snacks to residents of Christiansburg, Virginia. FedEx completed the first scheduled ecommerce drone delivery on Friday, essentially beginning the connection of retailers to last-mile drone delivery services.
The tiny Smart car was meant to be a revolutionary new idea in urban mobility. But more than 20 years after its creation, the Smart car pulled out of the U.S. after years of increasingly dismal sales. Now, its parent company, Daimler, is looking in a new direction. About CNBC: From'Wall Street' to'Main Street' to award winning original documentaries and Reality TV series, CNBC has you covered. Experience special sneak peeks of your favorite shows, exclusive video and more.
There is a growing number of banks on the road to Self-Driving Finance, with more banks all over the world realizing that helping customers manage their money is a critical to keeping the banking relevant. Personalized insights drive engagement and trust: banks that make them part of the customer's everyday digital banking experience are seeing substantial increase in mobile and online engagement and high satisfaction levels with the insights delivered. Bank customers expect and embrace personalized advice and automated functions to help them save more, reduce their debt, and invest towards long-term goals. We're just at the beginning of the road with automation, but early results are promising and the potential for real impact on customers' financial wellbeing is great. Self-Driving Finance is not only for consumers – small businesses have significant needs for simplified day-to-day banking, forward-looking cashflow management, and prescriptive advice to ensure liquidity and support future growth.
When The Wall Street Journal first had the audacity to create a magazine and event series called The Future of Everything, I had to stop myself from rolling my eyes. But then my curiosity got the best of me and I started reading about everything from the problems with fully autonomous vehicles to the new jobs being created as the era of artificial intelligence shows up in the next generation of software. All of this got me thinking about the future of marketing. Having been in the digital marketing industry for the past 24 years, I've witnessed the utter chaos that has plagued the industry (and some would argue it still does). When I first started my career in 1994, all the industry pundits were advocating that television was dead and that broadcast media would soon be replaced with on-demand programming.
Last March, Chinese researchers announced an ingenious and potentially devastating attack against one of America's most prized technological assets--a Tesla electric car. The team, from the security lab of the Chinese tech giant Tencent, demonstrated several ways to fool the AI algorithms on Tesla's car. By subtly altering the data fed to the car's sensors, the researchers were able to bamboozle and bewilder the artificial intelligence that runs the vehicle. In one case, a TV screen contained a hidden pattern that tricked the windshield wipers into activating. In another, lane markings on the road were ever-so-slightly modified to confuse the autonomous driving system so that it drove over them and into the lane for oncoming traffic.
Stop us if you've heard this one before. Four-hundred years ago next fall, a ship called the Mayflower set sail from Plymouth, England, to the New World. It carried 102 passengers, made up of English Puritans, known today as the Pilgrims. Once they arrived at their destination, they established Plymouth Colony and signed the document that became a rudimentary first draft of modern democracy in America. Next year, to mark the fourth centenary of the Mayflower voyage, another ship will follow in its wake, traveling from Plymouth in the United Kingdom across the Atlantic.
If you've ever seen a self-driving car in the wild, you might wonder about that spinning cylinder on top of it. It's a "lidar sensor," and it's what allows the car to navigate the world. By sending out pulses of infrared light and measuring the time it takes for them to bounce off objects, the sensor creates a "point cloud" that builds a 3D snapshot of the car's surroundings. Making sense of raw point-cloud data is difficult, and before the age of machine learning it traditionally required highly trained engineers to tediously specify which qualities they wanted to capture by hand. But in a new series of papers out of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), researchers show that they can use deep learning to automatically process point clouds for a wide range of 3D-imaging applications.
Hyundai has combined its cruise control system with machine learning technology to make the driving experience more personal. Called Smart Cruise Control, the union allows the cruise control to mimic the driving style of the human owner. The technology is capable of learning the preferred distance between cars, takes into account acceleration, knows how you respond to traffic changes and more. Hyundai has combined its cruise control system with machine learning technology to make the driving experience more personal. Hyundai has deemed what it has named machine learning-based Smart Cruise Control (SCC-ML) 'an industry first' and is set to be implemented in future vehicles.