Want cheaper nuclear energy? Turn the design process into a game
Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.
Method finds hidden warning signals in measurements collected over time
A new deep-learning algorithm could provide advanced notice when systems — from satellites to data centers — are falling out of whack.
Making data-informed Covid-19 testing plans
A new web-friendly modeling tool helps organizations build tailored Covid-19 testing strategies that can save money and reduce coronavirus spread.
Q&A: Holly Jackson on building a cosmic family tree
Undergraduate in electrical engineering and computer science contributes to startling new astronomy research.
Seeing the values behind the numbers
In a new book, “Data Action,” Associate Professor Sarah Williams issues a call for thinking ethically about data today.
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.
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.
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.
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.
Every vote counts for this math student
Graduate student Ashwin Narayan takes off the fall semester to work on an election information database.
Silencing gene expression to cure complex diseases
Immuneering uses bioinformatics to develop new medicines while also helping large pharmaceutical companies improve their treatments.
3 Questions: Adam Berinsky on how to assess election polls
MIT political scientist explains the responsibilities leaders have for shaping and sharing factual, truthful information in the nation's political discourse.
Translating lost languages using machine learning
System developed at MIT CSAIL aims to help linguists decipher languages that have been lost to history.
The real promise of synthetic data
MIT researchers release the Synthetic Data Vault, a set of open-source tools meant to expand data access without compromising privacy.
Fotini Christia named director of the Sociotechnical Systems Research Center
Political science professor will spearhead the Institute’s interdisciplinary center that studies high-impact, complex societal challenges.