CSAIL researchers have developed drones that can drive and fly through a city-like setting, reports Gareth Mitchell for BBC News. The goal for this research is to have the vehicles “coordinate with each other and make intelligent decisions when they fly and drive,” says graduate student Brandon Araki.
FOX News reporter Grace Williams writes that MIT researchers have developed a new system to assist people with visual impairments in navigating their surroundings. “We wanted to primarily complement the white cane to allow users with visual impairments to quickly assess their environment in a contactless manner,” explains graduate student Robert Katzschmann.
Wired reporter Matt Simon writes that CSAIL researchers have developed a system of drones that can successfully fly and drive through a city-like setting. Simon explains that the framework is a good step, “toward imagining a transportation infrastructure that works in three dimensions, not just two.”
Bloomberg Businessweek reporter Arianne Cohen profiles graduate student Joy Buolamwini, who founded the algorithmic Justice League in an effort to make people more aware of the biases embedded in AI systems. “We’re using facial analysis as an exemplar to show how we can include more inclusive training data in the first place,” says Buolamwini of her work.
Prof. Daniela Rus and graduate student Robert Katzschmann speak with BBC reporter Gareth Mitchell about the device they developed to help the visually impaired navigate. Rus explains that they applied the technologies used for autonomous driving to develop a system that can, “guide a visually impaired person in the same way a suite of sensors can guide a self-driving car.”
TechCrunch reporter Brian Heater writes that MIT researchers have developed a vibrating wearable device to help people with visual impairments navigate. “In a world where computers help us with everything from navigating space travel to counting the steps we take in a day, I think we can do better to support visually impaired people,” explains Prof. Daniela Rus.
Fortune reporter Aaron Pressman highlights how MIT researchers have developed a new wearable device to help visually impaired people navigate and avoid obstacles. Pressman writes that CSAIL researchers are, “combining cutting edge techniques from 3D cameras and image recognition software to build an automated navigation system for the visually impaired.”
Boston Herald reporter Jordan Graham writes that MIT researchers have developed a wearable device aimed at helping visually impaired users navigate their environments. The system is equipped with, “a 3-D camera, a vibration pack and an electronic braille screen that will tell users not just where things are — but what they are.”
Graduate student Joy Buolamwini speaks with Guardian reporter Ian Tucker about her work fighting algorithmic biases. Buolamwini explains that she is, “trying to identify bias, to point out cases where bias can occur so people can know what to look out for, but also develop tools where the creators of systems can check for a bias in their design.”
CSAIL researchers have developed a system that allows robots to teach one another learned skills, reports Grace Williams for FOX News. Williams explains that the system, “gives non-coders the ability to teach robots various tasks using information about manipulating objects in a single demonstration. These skills can then be passed along to other robots that move in different ways.”
Anthony Cuthbertson of Newsweek reports that PhD student Claudia Pérez D’Arpino has developed a system that allows robots to learn a skill and teach it to another robot. Armed with knowledge of how to perform a task, a 3-D interface demonstrates the tasks “allowing [the robot] to understand the motions it is being taught in the real world,” explains Cuthbertson.
This CNN video highlights a new system developed by CSAIL researchers that allows noncoders to teach robots to perform a task after a single demonstration. The new programming method also enables robots to learn from other robots, which could enable “a variety of robots to perform similar tasks.”
Wired reporter Matt Simon writes that CSAIL researchers have developed a new system that allows noncoders to be able to teach robots a wide range of tasks, and enables robots to transfer new skills to other robots. Simon notes that the development is a “glimpse into a future where, more and more, robots communicate without humans at all.”
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.
Using an algorithm and a 3-D scan of a human body, Prof. Carlo Ratti designed a foldable stool that can conform to different shapes, writes Margaret Rhodes for Wired. Allowing algorithms to determine the form of each hinge, “allows you to create shapes and functions that you otherwise wouldn’t be able to,” Ratti explains.