Wired reporter Jack Stewart highlights how MIT researchers have developed a 3-D printed autonomous boat that could be used to ferry goods or people. The boats could eventually, “use their onboard GPS sensors and inertial measurement units to precisely position themselves in packs, forming instant floating bridges, or stages, or platforms for pop-up food markets on the water.”
In this Bloomberg radio segment, Prof. Daniela Rus discusses her work developing a fleet of autonomous 3-D printed boats that could not only transport goods and people, but also self-assemble into bridges and other structures. Rus explains that she is, “very excited about the idea of taking the autonomy technologies we have in driverless cars and applying them to other vehicles.”
In an article for Inside Higher Ed, Ray Schroeder writes about a new tool developed by Media Lab researchers that allows humans to communicate with computers. After summarizing the technology and exploring its potential implications for educators, Schroeder asks: “Are you prepared to leverage this technology in teaching and learning?”
Last year, the startup Learning Machine launched a program at Sloan and the Media Lab that placed important documents, like transcripts and diplomas, on the blockchain. Now, reports Danny Crichton for TechCrunch, the company is working with the Media Lab on an initiative called BlockCerts, “an open source and open standard securing credentials on the blockchain.”
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.”
Paul Solman of PBS NewsHour talks with computer scientist Neha Narula to explain how Bitcoin works. “Part of Bitcoin’s threat model is that no single entity ends up getting a majority of the processing power in the network,” says Narula. “If somebody got 51 percent of the processing power in the network, they could theoretically rewrite history and change the state of transactions in the ledger.”
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.”
Emily Matchar of Smithsonian details research out of the Media Lab, which seeks to help both autonomous and standard vehicles avoid obstacles in heavy fog conditions. “You’d see the road in front of you as if there was no fog,” says graduate student and lead researcher Guy Satat. “[O]r the car would create warning messages that there’s an object in front of you.”
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.
Squadbox, developed by graduate student Amy Zhang, allows a user’s “squad” to sift through online messages and scan for contextual harassment language that software might miss. “Squadbox currently only works with email,” Shannon Liao writes for The Verge. “[B]ut the team behind it hopes to eventually expand to other social media platforms.”
Graduate student Amy Zhang, has developed an application, known as Squadbox, that seeks to disarm internet harassers by enlisting the help of a user’s friends, who act as inbox “moderators.” “According to what the harassed person has specified beforehand, the moderator can delete any abusive messages, forward on clean messages, or send along messages with tags,” writes Katharine Schwab for Co.Design.
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.”