Electrical engineering and computer science (EECS)

CSAIL researchers have developed a device that can determine a person’s mood using wireless signals, write Jordan Graham and Donna Goodison for The Boston Herald. “We view this work as the next step in helping develop computers that can better understand us at an emotional level,” explains Mingmin Zhao.

CSAIL researchers have developed a device that can determine emotion by analyzing reflections from wireless signals bounced off the human body, writes Mary Beth Griggs for Popular Science. “Because it can measure heart rate, it might also be a less invasive way for doctors to monitor patient's heartbeats, potentially watching for conditions like arrhythmias,” writes Griggs. 

In a Huffington Post video, Prof. Daniela Rus explains that the ingestible origami robot her team developed could enable incisionless surgery. “What we have developed so far is a proof of concept that shows that you could have tetherless machines that can do active and important functions inside the body,” she explains. 

In an article about the increasing number of women studying electrical engineering and computer science at some of the nation’s leading universities, Washington Post reporter Nick Anderson highlights how “more than half of engineering bachelor’s degrees at the Massachusetts Institute of Technology went to women in 2015.”

CSAIL Director Daniela Rus speaks with Peter High of Forbes about the lab’s research, history and mission. Rus notes that CSAIL researchers are focused on "inventing the future of computing. We want to use computer science to tackle major challenges in fields like healthcare and education.”

MIT researchers have developed a new algorithm to create videos from still images, writes G. Clay Whittaker for Popular Science. “The system "learns" types of videos (beach, baby, golf swing...) and, starting from still images, replicates the movements that are most commonly seen in those videos,” Whittaker explains. 

MIT researchers have developed a new way to record the activities of human cells, reports Kevin Hartnett for The Boston Globe. “Most of the studies we do to understand diseases like cancer and Alzheimer’s involve studying cells in a dish. We’re interested in understanding how cells function in their natural environments,” explains Prof. Timothy Lu. 

MIT has been named the top university in the world in the latest QS World University Rankings, reports Nick Morrison for Forbes. This is the fifth consecutive year that MIT has earned the number one spot in the QS rankings. 

A new WiFi system developed by CSAIL researchers is three times faster than a normal wireless network, writes Thomas Tamblyn for The Huffington Post. The new system allows transmitters “to work together and make sure that they’re sending information that isn’t clashing to each device,” explains Tamblyn.

In an article for Forbes, Kevin Murnane writes that a new system developed by MIT researchers significantly improves WiFi performance. Murnane writes that the system “could be used at locations like concert halls and sports stadiums to eliminate the poor WiFi performance people often experience in these venues.”

Matt McFarland writes for CNN that CSAIL researchers have created a new system that can transfer wireless data 3.3 times faster than usual. McFarland explains that to increase the speed of data transfer, researchers “developed algorithms that process a router's signal so that multiple routers can send information on the same wireless spectrum without causing interference.”

MIT researchers have developed a database of annotated English words written by non-native English speakers, reports Kevin Hartnett for The Boston Globe. The database will provide “a platform for the study of learner English and also make it easier to develop technology like better search engines that supports non-native speakers.”

Boston Herald reporter Lindsay Kalter writes that MIT researchers have developed a technique to record the history of human cells. “Much of our understanding of cancer is not reflective of what’s going on inside the patient,” explains Prof. Timothy Lu. “It’s only with tools like ours you can start testing those hypotheses.”

MIT researchers have developed a new system for protecting patient privacy in genomic databases, reports Anna Nowogrodzki for Nature. The system “masks the donor's identity by adding a small amount of noise, or random variation, to the results it returns on a user’s query,” Nowogrodzki explains. 

In an article for The Huffington Post about why virtual assistants have trouble understanding accents, Philip Ellis highlights how researchers from MIT have compiled a database of written English composed by non-native speakers. Ellis explains that the aim is "to create a richer context for machine learning” systems.