New Scientist reporter Chelsea Whyte writes that MIT researchers have developed a smart glove that enables neural networks to identify objects by touch alone. “There’s been a lot of hope that we’ll be able to understand the human grasp someday and this will unlock our potential to create this dexterity in robots,” explains MIT alumnus Subramanian Sundaram.
MIT researchers have developed a low-cost electronic glove equipped with sensors that can use tactical information to identify objects, reports Katherine Wu for NOVA Next. Wu writes that the glove is “easy and economical to manufacture, carrying a wallet-friendly price tag of only $10 per glove, and could someday inform the design of prosthetics, surgical tools, and more.”
Joi Ito, director of the Media Lab, writes for Wired about the decision to grant Amazon the .amazon domain and how the International Corporation for Names and Numbers (ICANN) evaluates such decisions. “The job of ICANN is to govern the name space in an open and inclusive process and to steward this process in the best, but never perfect, way possible,” writes Ito.
Researchers from MIT and a number of other institutions have found that grammar-enriched deep learning models had a better understanding of key linguistic rules, reports Kyle Wiggers for VentureBeat. The researchers found that an AI system provided with knowledge of basic grammar, “consistently performed better than systems trained on little-to-no grammar using a fraction of the data, and that it could comprehend ‘fairly sophisticated’ rules.”
In an article for Gizmodo, Dell Cameron writes that graduate student Joy Buolamwini testified before Congress about the inherent biases of facial recognition systems. Buolamwini’s research on face recognition tools “identified a 35-percent error rate for photos of darker skinned women, as opposed to database searches using photos of white men, which proved accurate 99 percent of the time.”
Wired reporter Lily Hay Newman highlights graduate student Joy Buolamwini’s Congressional testimony about the bias of facial recognition systems. “New research is showing bias in the use of facial analysis technology for health care purposes, and facial recognition is being sold to schools,” said Buolamwini. “Our faces may well be the final frontier of privacy.”
Boston.com reporter Nik DeCosta-Klipa speaks with Bernard Fabrot about the cryptographic puzzle -- developed by Prof. Ron Rivest -- that he recently solved. Fabrot explains that he realized “basically that the way computers evolved 15 years after the puzzle was created meant that it was possible to solve it on a regular PC much faster than what was expected in 1999.”
The new MIT-Air Force AI Accelerator “will look at improving Air Force operations and addressing larger societal needs, such as responses to disasters and medical readiness,” reports Breanne Kovatch for The Boston Globe. “The AI Accelerator provides us with an opportunity to develop technologies that will be vectors for positive change in the world,” says Prof. Daniela Rus.
Writing for Quanta Magazine, Joshua Sokol spotlights the untold story and seminal role of two MIT computer programmers, Ellen Fetter and Margaret Hamilton, in developing the “specific programs that revealed the signatures of chaos.”
WCVB-TV’s Mike Wankum visits the Media Lab to learn more about a new wearable device that allows users to communicate with a computer without speaking by measuring tiny electrical impulses sent by the brain to the jaw and face. Graduate student Arnav Kapur explains that the device is aimed at exploring, “how do we marry AI and human intelligence in a way that’s symbiotic.”
Fast Company reporter Eillie Anzilotti highlights how MIT researchers have developed an AI-enabled headset device that can translate silent thoughts into speech. Anzilotti explains that one of the factors that is motivating graduate student Arnav Kapur to develop the device is “to return control and ease of verbal communication to people who struggle with it.”
Boston Globe reporter Emily Sweeney writes about the opening of a time capsule housed at MIT’s Stata Center. The capsule held an “array of tech treasures, including the original 1992 proposal for the World Wide Web; a 1979 user manual for VisiCalc, an early spreadsheet program developed by MIT alumni Bob Frankston and Dan Bricklin; and an Altair BASIC interpreter that was donated by Microsoft founder Bill Gates.”
CSAIL unsealed a time capsule containing artifacts from computing history at MIT after a self-taught programmer cracked the capsule’s cryptopuzzle, reports Kathryn Sotnik for NECN. MIT alumnus, Bob Frankston, who programmed the first electronic spreadsheet, noted “it’s really a reminder in a sense how long ago it was, and how much people today take these things for granted.”
Eric Kane reports for 7 News on how a time capsule at the Stata Center was unsealed at MIT this week after a Belgium programmer solved the cryptopuzzle sealing the container. The time capsule contained “MIT computing artifacts and material relating to the invention of the Internet, the ethernet, and the digital spreadsheet.”
MIT researchers have identified a method to help AI systems avoid adversarial attacks, reports Matthew Hutson for Science. When the researchers “trained an algorithm on images without the subtle features, their image recognition software was fooled by adversarial attacks only 50% of the time,” Hutson explains. “That compares with a 95% rate of vulnerability when the AI was trained on images with both obvious and subtle patterns.”