Researchers at MIT and other institutions have developed an artificial intelligence tool that can analyze changes in nighttime breathing to detect and track the progression of Parkinson’s disease, reports Casey Ross for STAT. “The AI was able to accurately flag Parkinson’s using one night of breathing data collected from a belt worn around the abdomen or from a passive monitoring system that tracks breathing using a low-power radio signal,” writes Ross.
Loh Down on Science host Sandra Tsing Loh spotlights Prof. Cathy Wu and graduate student Vindula Jayawardana and their work developing a new method for self-driving vehicles that would help minimize idling at red lights. “In their method, self-driving can be taught to minimize stops at red lights. To make this work, traffic lights and self-driving cars would have sensors. This would let them check in with each other on their surroundings,” says Loh.
Alumni Carter Huffman ’14 and Mike Pappas ’14 co-founded Modulate, an artificial intelligence technology that helps differentiate between friendly banter and inappropriate outbursts in video game voice chats, reports Scott Kirsner for The Boston Globe. “Modulate highlights for a game’s human moderators the most severe violations of the game’s guidelines and allows them to decide on the consequences after they examine the situation,” writes Kirsner. “They may send the player a warning, mute them temporarily, or ban them from the game.”
Computer science lecturer Iddo Drori and his team have developed an artificial intelligence algorithm that can solve college-level math problems at a human level, reports Susan D’Agostino for Inside Higher Ed. “The model can also explain the solutions and generate new problems that students found indistinguishable from human-generated problems,” reports D’Agostino.
The MIT mini cheetah broke a speed record after learning to adapt to difficult terrain and upping its speed, reports Rienk De Beer for Popular Mechanics.
A new study from researchers at MIT and Dartmouth suggests that the speed of automation should be halved, reports Adi Gaskell for Forbes. Their paper showed that “while investments in automation usually result in higher productivity in firms, and therefore often more employment, it can be harmful to those who are displaced, especially if they have few alternative options,” writes Gaskell.
Postdoctoral researcher Murat Onen and his colleagues have created “a nanoscale resistor that transmits protons from one terminal to another,” reports Alex Wilkins for New Scientist. “The resistor uses powerful electric fields to transport protons at very high speeds without damaging or breaking the resistor itself, a problem previous solid-state proton resistors had suffered from,” explains Wilkins.
Butlr, spinout founded by researchers from the MIT Media Lab, is developing sensors that utilize body heat to estimate office occupancy, reports Kyle Wiggers for TechCrunch. The new technology “uses thermal sensing AI to provide data on space occupancy and historical activity,” writes Wiggers.
MIT researchers have developed a new system that enabled the mini robotic cheetah to learn to run, reports John Koetsier for Forbes. ““Traditionally, the process that people have been using [to train robots] requires you to study the actual system and manually design models,” explains Prof. Pulkit Agrawal. “This process is good, it’s well established, but it’s not very scalable. “But we are removing the human from designing the specific behaviors.”
Wall Street Journal reporter Daniela Hernandez spotlights the work of Media Lab Research Scientist Andreas Mershin in developing sensors that can detect and analyze odors. Mershin “is focusing on medical applications of olfaction technology. Inspired by dogs that have demonstrated an ability to sniff out malignancies in humans, he’s working on an artificial-intelligence odor-detection system to detect prostate cancer.”
Principal Research Scientist Leo Anthony Celi oversaw a study which found that people of color were given significantly less supplemental oxygen than white people because of inaccuracies in pulse oximeter readings, reports Nancy Lapid for Reuters. “Nurses and doctors make the wrong decisions and end up giving less oxygen to people of color because they are fooled [by incorrect readings from pulse oximeters],” says Celi.
Researchers at MIT have created a knit textile containing pressure sensors called 3DKnITS which can be used to predict a person’s movements, reports Charlotte Hu for Popular Science. “Smart textiles that can sense how users are moving could be useful in healthcare, for example, for monitoring gait or movement after an injury,” writes Hu.
A study co-authored by MIT researchers finds that algorithms based on clinical medical notes can predict the self-identified race of a patient, reports Katie Palmer for STAT. “We’re not ready for AI — no sector really is ready for AI — until they’ve figured out that the computers are learning things that they’re not supposed to learn,” says Principal Research Scientist Leo Anthony Celi.
Ken Knowlton PhD ’62 - a pioneer in the science and art of computer graphics and the creator of some of the first computer-generated pictures, portraits and movies - died June 16 at the age of 91, reports Cade Metz for The New York Times. “Knowlton was the only person to ever use the BEFLIX language – he and his colleagues quickly replaced it with other tools and techniques – the ideas behind this technology would eventually overhaul the movie business,” writes Metz.
CSAIL graduate student Yunzhu Li and his colleagues have trained a robot to use two metal grippers to mold letters out of play dough, reports Jeremy Hsu for New Scientist. "Li and his colleagues trained a robot to use two metal grippers to mould the approximate shapes of the letters B, R, T, X and A out of Play-Doh," explains Hsu. "The training involved just 10 minutes of randomly manipulating a block of the modelling clay beforehand, without requiring any human demonstrations."