MIT researchers have developed a virtual reality system that can train drones to fly faster while also avoiding obstacles, reports Lauren Barack for Salon. Barack explains that the “researchers are programming the drones so they think they're in a living room or bedroom while they fly. They virtually see obstacles around them, but those impediments aren't really there.”
Canadian prime minister Justin Trudeau stressed the importance of investing in artificial intelligence at the MIT Solve conference, reports the Associated Press. Trudeau noted that “leaders also have a responsibility to shape the rules and principles to guide the development of artificial intelligence.”
During remarks at the MIT Solve conference, Canada’s prime minister Justin Trudeau highlighted his country’s role in the future of AI. Trudeau believes Canada’s scientific accomplishments and cultural diversity will “ensure that AI systems will be programmed by teams with a broader understanding of human needs,” writes Hiawatha Bray for The Boston Globe.
MIT researchers are using virtual reality to train autonomous drones to fly in a variety of environments, writes Steven Melendez for Fast Company. Future tests may train the drone to fly safely around humans “as if they were in the same area, enabling it to practice sharing a space without actually endangering any human lives,” Melendez notes.
MapLite, a system developed by CSAIL researchers, allows autonomous vehicles to drive on roads they’ve never driven before without 3D maps, writes Andrew Hawkins of The Verge. If it becomes commercial, MapLite could ensure “that the safety benefits from autonomous driving [are] extended to residents in rural communities,” suggests Hawkins.
Joi Ito, director of the Media Lab, writes for Wired about the uses of AI in the criminal justice system, and why we should use such technologies to examine causes of systemic injustice. “We’re using algorithms as crystal balls to make predictions on behalf of society,” writes Ito, “when we should be using them as a mirror to examine ourselves and our social systems more critically.”
CSAIL researchers have developed a system that uses LIDAR and GPS to allow self-driving cars to navigate rural roads without detailed maps, writes Tracey Lindeman of Motherboard. Autonomous ride-hailing or car-sharing is important in rural communities because “the carless in these areas have few transportation options; many small communities don’t even have public buses,” notes Lindeman.
Eric Mack writes for Forbes about a new system from MIT researchers that uses GPS in conjunction with LIDAR and IMU sensors to power self-driving vehicle navigation. Graduate student Teddy Ort says the system “shows the potential of self-driving cars being able to actually handle roads beyond the small number that tech companies have mapped.”
Writing for The Verge, Angela Chen highlights advances in AI that are allowing researchers to discover and understand new materials at a rapid pace. Chen cites a study co-authored by Assistant Prof. Elsa Olivetti, who “developed a machine-learning system that scans academic papers to figure out which ones include instructions for making certain materials.”
Spyce, a robotic kitchen created by four alumni, will open in Boston’s Downtown Crossing this May. The group “built their first prototype in [an MIT] fraternity basement in 2015; now they have patent-pending technology and backing from acclaimed chef Daniel Boulud,” writes Jenna Pelletier of Boston Magazine.
Prof. Max Tegmark speaks to Jane Wakefield of BBC World Service about the importance of having conversations that focus on how AI will dictate the future. “What will happen, if the ultimate goal of AI actually succeeds?" Tegmark asks. "AI and other powerful technology isn’t evil, nor is it good. It is a tool that can amplify our ability to do whatever we want.”
After several years of experimentation, graduate student Arnav Kapur developed AlterEgo, a device to interpret subvocalization that can be used to control digital applications. Describing the implications as “exciting,” Katharine Schwab at Co.Design writes, “The technology would enable a new way of thinking about how we interact with computers, one that doesn’t require a screen but that still preserves the privacy of our thoughts.”
AlterEgo, a device developed by Media Lab graduate student Arnav Kapur, “can transcribe words that wearers verbalise internally but do not say out loud, using electrodes attached to the skin,” writes Samuel Gibbs of The Guardian. “Kapur and team are currently working on collecting data to improve recognition and widen the number of words AlterEgo can detect.”
Researchers at the Media Lab have developed a device, known as “AlterEgo,” which allows an individual to discreetly query the internet and control devices by using a headset “where a handful of electrodes pick up the miniscule electrical signals generated by the subtle internal muscle motions that occur when you silently talk to yourself,” writes Rob Verger for Popular Science.
A new headset developed by graduate student Arnav Kapur reads the small muscle movements in the face that occur when the wearer thinks about speaking, and then uses “artificial intelligence algorithms to decipher their meaning,” writes Chelsea Whyte for New Scientist. Known as AlterEgo, the device “is directly linked to a program that can query Google and then speak the answers.”