Reuters reporter Gertrude Chavez-Dreyfuss writes that researchers from the MIT Media Lab will be collaborating with the Toyota Research Institute on exploring the use of blockchain technology to aid in the development of driverless cars. Chavez-Dreyfuss writes that the project is aimed at enabling “businesses and consumers to securely share data on testing and driving.”
CSAIL researchers have developed a new system that allows camera-equipped drones to maintain certain framing parameters of an aerial shot, Sean O’Kane for The Verge. O’Kane explains that the system allows directors to define basic parameters of a shot and to alter the “settings on the fly and the drone will adjust how it’s filming accordingly.”
NuTonomy, an MIT startup, will soon start testing self-driving cars in Boston’s Seaport District and Fort Point areas, writes Doug Newcomb for Forbes.
Prof. Daniela Rus speaks with Siti Rahil of Kyodo News about how researchers from the Singapore-MIT Alliance for Research and Technology (SMART) are working autonomous vehicles. Rus explains that a challenge facing the field is enabling driverless cars to operate in environments where "some of the cars are driven by people and some of the cars are driven automatically."
CSAIL researchers have developed software that allows users to design and virtually test drones, writes Alex Davies for Wired. Graduate student Tao Du explains that the software can help users “explore and try different shapes and different controllers.”
Prof. Sertac Karaman and postdoc Lex Fridman speak with Boston Globe columnist Scott Kirsner about why companies developing self-driving cars should share data. Kirsner writes that Fridman explains it would be “‘extremely useful’ to create some kind of database where manufacturers could deposit — or withdraw — models and strategies that would make their vehicles safer.”
Laura Winkless writes for Forbes about the ways robots are changing life in urban areas. ROBOATs, the fleet of autonomous boats and floating structures developed by Prof. Carlo Ratti, “could offer an additional, low-cost way to once again integrate local canals and rivers into the urban landscape,” said Winkless.
Media Lab researchers have developed an autonomous tricycle that could decrease commuting times by 10 percent, writes Meghan Ottolini for The Boston Herald. Principal research scientist Kent Larson explains that the tricycles could be used to “meet the demand at rush hour, and at off-peak, you have excess vehicles that can move packages autonomously.”
The Copenhagen Wheel, created by Senseable City Lab researchers, transforms a regular bicycle into a semi-autonomous mode of transport, writes Bob Woods for CNBC. “We realized that unless you somehow change the bike, it's hard to imagine it as a solution for transportation, and that means increasing its capacity to go farther,” explains Assaf Biderman, the lab’s associate director.
In this Wired video, Prof. Daniela Rus speaks about how her research group is developing and applying autonomous vehicle technology to other vehicles, in particular wheelchairs. Rus explains that she envisions the technology “impacting anyone who is confined in their motions. I see it applied in hospitals, in retirement communities, in assisted living communities.”
Prof. Iyad Rahwan speaks with the AP about the moral dilemmas posed by driverless cars. "There is a real risk that if we don't understand those psychological barriers and address them through regulation and public outreach, we may undermine the entire enterprise," Rahwan explains. “It would stifle what I think will be a very good thing for humanity."
The Media Lab will serve as one of the first anchor institutions for a new initiative, the Ethics and Governance of Artificial Intelligence Fund, which will “support research and development to make AI beneficial for humans,” reports Jordan Graham for the Boston Herald.
The Media Lab will serve as a founding institution for a new effort focused on advancing artificial intelligence research for the public good, reports April Glaser for CNBC. Research will focus on everything from investigating how” socially responsible artificially intelligent systems can be designed” to fostering “understanding of the complexities of artificial intelligence.”
A study by researchers from MIT’s AgeLab found many salespeople at Boston-area car dealerships were unable to thoroughly explain common automated driver assistance features, reports Aarian Marshall for Wired. “One of the myths about automation is that as the level of automation increases, less human expertise is needed,” explains research engineer Bryan Reimer.
CSAIL researchers have found that ride-sharing taxis controlled by a citywide computer system could decrease the number of cars on the road in New York City, reports Clive Cookson for the Financial Times. The researchers found that “3,000 four-passenger cars could satisfy 98 per cent of the city’s demand.”