Unlocking new doors to artificial intelligence
MEng graduate students engage with IBM to develop their research skills and solutions to real-world problems.
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MEng graduate students engage with IBM to develop their research skills and solutions to real-world problems.
“Carbon Queen” explores how the Institute Professor transformed our understanding of the physical world and made science and engineering more accessible to all.
The Social and Ethical Responsibilities of Computing publishes a collection of original pedagogical materials developed for instructional use on MIT OpenCourseWare.
Theories from cognitive science and psychology could help humans learn to collaborate with robots faster and more effectively, scientists find.
Researchers find similarities between how some computer-vision systems process images and how humans see out of the corners of our eyes.
A new technique boosts models’ ability to reduce bias, even if the dataset used to train the model is unbalanced.
The honorees include four MIT graduate students in electrical engineering and computer science, economics, and media arts and sciences.
Seventeen new professors join the MIT community, with research areas ranging from robotics and machine learning to health care and agriculture.
The annual event aims to realize the promise of "new normal" education through community and technology.
A new methodology simulates counterfactual, time-varying, and dynamic treatment strategies, allowing doctors to choose the best course of action.
The millionth sale of “Introduction to Algorithms” prompts Charles Leiserson and Tom Corman look back at the creation and legacy of the foundational textbook, now in its fourth edition.
Self-reconfiguring ElectroVoxels use embedded electromagnets to test applications for space exploration.
Researchers demonstrate a method that safeguards a computer program’s secret information while enabling faster computation.
A model’s ability to generalize is influenced by both the diversity of the data and the way the model is trained, researchers report.
Engineers build a lower-energy chip that can prevent hackers from extracting hidden information from a smart device.