Systems scientists find clues to why false news snowballs on social media
A new model shows that the more polarized and hyperconnected a social network is, the more likely misinformation will spread.
From “cheetah-noids” to humanoids
Benjamin Katz '16, SM '18 is applying the skills he gained working on MIT's mini cheetah robot to the ATLAS project at Boston Dynamics.
$7 million gift from the Shiv Nadar Foundation bolsters undergraduate research and women in EECS
Gift will help establish the Vamasundari Devi Fellowship Fund to provide financial support to graduate students and the SuperUROP program, which provides undergraduates with two-semester research opportunities.
David Li wins 2022 Marshall Scholarship
The MIT senior will pursue graduate studies in the U.K., at Cambridge and Oxford universities.
Machine learning speeds up vehicle routing
Strategy accelerates the best algorithmic solvers for large sets of cities.
“Newer, nimbler, faster:” Venus probe will search for signs of life in clouds of sulfuric acid
Report led by MIT scientists details a suite of privately-funded missions to hunt for life on Earth's sibling planet.
A step toward “living biotherapeutics”
Chemical engineers created a coating for microbes that could make it easier to deploy the organisms to treat gastrointestinal disease.
Machine-learning system flags remedies that might do more harm than good
The system could help physicians select the least risky treatments in urgent situations, such as treating sepsis.
Measuring cancer cell state can reveal drug susceptibility
Study results also show that pancreatic tumor cells can be forced into a more susceptible state by changing their environment.
A tool to speed development of new solar cells
A new computational simulator can help predict whether changes to materials or design will improve performance in new photovoltaic cells.
EECS graduate women’s research summit increases research visibility and strengthens community
Summit features the latest research of women and other underrepresented genders in MIT EECS, along with an opportunity to network, share experiences, and learn.
Tiny machine learning design alleviates a bottleneck in memory usage on internet-of-things devices
New technique applied to small computer chips enables efficient vision and detection algorithms without internet connectivity.
With “Hello!” as its theme, 2.009 returns to the stage
New products presented by students at the annual event included a curb-climbing wheelchair attachment and seizure-preventing glasses.
Machines that see the world more like humans do
A new “common-sense” approach to computer vision enables artificial intelligence that interprets scenes more accurately than other systems do.
Meet the Oystamaran
Working directly with oyster farmers, MIT students are developing a robot that can flip heavy, floating bags of oysters, helping the shellfish to grow and stay healthy.