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.
Staff spotlight: Yuvie Cjapi
Yuvie Cjapi is a senior administrative assistant to School of Engineering Dean Anantha Chandrakasan, a position she’s held since 2017. Cjapi has worked at MIT since she graduated college in 2015, moving from a position as a customer representative at the credit union in Stratton Student Center, to a position in human resources, and onto […]
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.
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.
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.
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.
Making her way through MIT
Graduate student Lucy Du designs novel prosthetics and seeks to inspire others to pursue engineering.