Mashable highlights how MIT researchers have developed a new system of computationally simple robots inspired by biological cells that can connect in large groups to move around, transport objects and complete tasks. Mashable explains that robots made up of simplistic components, “could enable more scalable, flexible and robust systems.”
TechCrunch reporter Darrell Etherington writes that MIT researchers have developed a new system that enables autonomous boats to latch onto one another to create new structures. Etherington explains that the researchers envision fleets of autonomous boats forming “on-demand urban infrastructure, including stages for concerts, walking bridges or even entire outdoor markets.”
Telegraph reporter David Millward explores how MIT researchers are helping make the Greater Boston area a hub for robotics research. “MIT has been really focused on how to accelerate innovation at the university and facilitate its transition outside the university into viable businesses,” explains Elisabeth Reynolds, executive director of the Work of the Future project.
Forbes reporter Joe McKendrick highlights a Nature review article by MIT researchers that calls for expanding the study of AI. “We’re seeing the rise of machines with agency, machines that are actors making decisions and taking actions autonomously," they write. "This calls for a new field of scientific study that looks at them not solely as products of engineering and computer science.”
A new glove embedded with sensors can enable AI systems to identify the shape and weight of different objects, writes HealthDay reporter Dennis Thompson. Using the glove, “researchers have been able to clearly unravel or quantify how the different regions of the hand come together to perform a grasping task,” explains MIT alumnus Subramanian Sundaram.
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.”