Last-minute pivot leads to record-setting Microsystems Annual Research Conference
Virtual conference gathered students, faculty, and industry partners to explore the future of microsystems and nanotechnology.
Virtual conference gathered students, faculty, and industry partners to explore the future of microsystems and nanotechnology.
CSAIL scientists came up with a learning pipeline for the four-legged robot that learns to run entirely by trial and error in simulation.
A machine-learning model for image classification that’s trained using synthetic data can rival one trained on the real thing, a study shows.
Professors Kamrin, Lang, McGee, and Shoulders are honored for exceptional undergraduate teaching.
In his new role, Shah will help students and faculty bring innovative technologies from the lab to the marketplace.
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.