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.
NASA selects three MIT alumni for astronaut training
Marcos Berríos ’06, Christina Birch PhD ’15, and Christopher Williams PhD ’12 make up a third of the 2021 NASA astronaut candidate class.
Q&A: More-sustainable concrete with machine learning
MIT-IBM Watson AI Lab researchers aim to design concrete mixtures that use AI to shrink environmental footprint and cost, while recycling byproducts and increasing performance.
A system for designing and training intelligent soft robots
“Evolution Gym” is a large-scale benchmark for co-optimizing the design and control of soft robots that takes inspiration from nature and evolutionary processes.