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Center to advance predictive simulation research established at MIT Schwarzman College of Computing

MIT is among nine universities selected as part of a program sponsored by the DoE to support science-based modeling and simulation and exascale computing technologies.

A neural network learns when it should not be trusted

A faster way to estimate uncertainty in AI-assisted decision-making could lead to safer outcomes.

Study identifies reasons for soaring nuclear plant cost overruns in the U.S.

Analysis points to ways engineering strategies could be reimagined to minimize delays and other unanticipated expenses.

Bhavik Nagda: Delving into the deployment of new technologies

“We need more technologists in the room while policies are formulated,” says the MIT senior.

Advancing artificial intelligence research

MIT Schwarzman College of Computing and the Singapore Defense Science and Technology Agency award funding to 13 AI-focused projects.

Understanding how people make sense of information in the information age

Graduate student Manon Revel uses quantitative methodologies to investigate how advertising in online publications affects trust in journalism.

System brings deep learning to “internet of things” devices

Advance could enable artificial intelligence on household appliances while enhancing data security and energy efficiency.

Inequality across networks

Eaman Jahani examines how resources are distributed across networks as a social and engineering systems PhD student at the Institute for Data, Systems, and Society.

The freedom to explore

Doctoral student in electrical engineering and computer science bridges labs and disciplines to study human disease.

Algorithms for art

Class takes deep dive into the making of computer graphics.