In MIT visit, Dropbox CEO Drew Houston ’05 explores the accelerated shift to distributed work
Houston discusses leading the company through the pandemic in a fireside chat hosted by the MIT Schwarzman College of Computing.
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Houston discusses leading the company through the pandemic in a fireside chat hosted by the MIT Schwarzman College of Computing.
The MIT senior will pursue postgraduate studies in intelligent systems in Ireland.
Mechanical engineers are using cutting-edge computing techniques to re-imagine how the products, systems, and infrastructures we use are designed.
Ruonan Han seeks to develop next-generation electronic devices by harnessing terahertz waves.
Professor Bilge Yildiz finds patterns in the behavior of ions across applications.
New work on linear-probing hash tables from MIT CSAIL could lead to more efficient data storage and retrieval in computers.
Condensed-matter theory PhD candidate Makinde Ogunnaike is featured in the Poetry of Science project.
Model-free framework reorients over 2,000 diverse objects with a hand facing both upward and downward, in a step toward more human-like manipulation.
Over 50 years at MIT, Dresselhaus made lasting contributions to materials science within the research group of longtime collaborator and wife, Mildred Dresselhaus.
A new machine-learning system helps robots understand and perform certain social interactions.
MISTI Career Conversations virtual lunch series sees MIT students explore environmental, social, and governance initiatives in a global context across three key sectors.
Reducing the complexity of a powerful machine-learning model may help level the playing field for automatic speech-recognition around the world.
Students featured in public art exhibits in prominent locations throughout Boston.
The Common Ground for Computing Education is facilitating collaborations to develop new classes for students to pursue computational knowledge within the context of their fields of interest.
A new method forces a machine learning model to focus on more data when learning a task, which leads to more reliable predictions.