Three with MIT ties win 2022 Churchill Scholarships
Seniors David Darrow and Tara Venkatadri and HST student James Diao will pursue master’s programs at Cambridge University.
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Q&A: Dolapo Adedokun on computer technology, Ireland, and all that jazz
MIT EECS student and Mitchell Scholar hopes to play music in Dublin while working on his MS in intelligent systems.
The promise and pitfalls of artificial intelligence explored at TEDxMIT event
MIT scientists discuss the future of AI with applications across many sectors, as a tool that can be both beneficial and harmful.
Physics and the machine-learning “black box”
In 2.C01, George Barbastathis demonstrates how mechanical engineers can use their knowledge of physical systems to keep algorithms in check and develop more accurate predictions.
Seeing the plasma edge of fusion experiments in new ways with artificial intelligence
MIT researchers are testing a simplified turbulence theory’s ability to model complex plasma phenomena using a novel machine-learning technique.
Reducing food waste to increase access to affordable foods
MIT alumni-founded Spoiler Alert matches major food brands with discount grocers to sell perishable products.
Meet the 2021-22 Accenture Fellows
The 2021-22 Accenture Fellows are bolstering research and igniting ideas to help transform global business.
MIT in the media: 2021 in review
MIT community members made headlines around the world for their innovative approaches to addressing problems local and global.
Perfecting pitch perception
Computational modeling shows that both our ears and our environment influence how we hear.
Characters for good, created by artificial intelligence
Researchers encourage positive use cases of AI-generated characters for education and well-being.
From counting blood cells to motion capture, sensors drive patient-centered research
SENSE.nano symposium highlights the importance of sensing technologies in medical studies.
Nonsense can make sense to machine-learning models
Deep-learning methods confidently recognize images that are nonsense, a potential problem for medical and autonomous-driving decisions.
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.
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.