Avoiding shortcut solutions in artificial intelligence
A new method forces a machine learning model to focus on more data when learning a task, which leads to more reliable predictions.
Topic
Electrical engineering and computer science (EECS)
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Taming the data deluge
A National Science Foundation-funded team will use artificial intelligence to speed up discoveries in physics, astronomy, and neuroscience.
Women’s Technology Program 2021: The sweet sound of success
Now in its 19th year, the WTP brings high school students with little STEM experience to Cambridge for an immersive, four-week exploration of all things engineering.
Making machine learning more useful to high-stakes decision makers
A visual analytics tool helps child welfare specialists understand machine learning predictions that can assist them in screening cases.
Fifteen MIT faculty honored as “Committed to Caring” for 2021-23
Honor recognizes professors who went the extra mile advising during the pandemic’s disruptions.
At Mass STEM Week kickoff, MIT RAISE announces Day of AI
Artificial intelligence is top-of-mind as Governor Baker, President Reif encourage students to “see yourself in STEM.”
One giant leap for the mini cheetah
A new control system, demonstrated using MIT’s robotic mini cheetah, enables four-legged robots to jump across uneven terrain in real-time.
Artificial networks learn to smell like the brain
When asked to classify odors, artificial neural networks adopt a structure that closely resembles that of the brain’s olfactory circuitry.
Accelerating the discovery of new materials for 3D printing
A new machine-learning system costs less, generates less waste, and can be more innovative than manual discovery methods.
Documentary short, “The Uprising,” showcases women in science who pressed for equal rights at MIT in the 1990s
Film examines the history and international impact of the 1999 Study on the Status of Women Faculty in Science at MIT, through interviews with Nancy Hopkins and other leading scientists.
These neural networks know what they’re doing
A certain type of artificial intelligence agent can learn the cause-and-effect basis of a navigation task during training.
Thriving Stars: An initiative to improve gender representation in electrical engineering and computer science
MIT EECS unveils a new effort to encourage and support women on their journey to — and through — graduate study in computing and information technologies.
At the crossroads of language, technology, and empathy
With a double major in linguistics and computer science, senior Rujul Gandhi works to surmount language and cultural barriers, globally and on campus.
Making data visualizations more accessible
Researchers find blind and sighted readers have sharply different takes on what content is most useful to include in a chart caption.
Enabling AI-driven health advances without sacrificing patient privacy
Secure AI Labs, founded by alumna Anne Kim and MIT Professor Manolis Kellis, anonymizes data for AI researchers.