Researchers create a tool for accurately simulating complex systems
The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.
Researchers develop novel AI-based estimator for manufacturing medicine
A collaborative research team from the MIT-Takeda Program combined physics and machine learning to characterize rough particle surfaces in pharmaceutical pills and powders.
Driving toward data justice
Senior Amelia Dogan brings together computer science, city planning, and American studies to work for social change.
Martin Wainwright named director of the Institute for Data, Systems, and Society
Widely recognized leader in statistics and machine learning to succeed Munther Dahleh.
Learner in Afghanistan reaches beyond barriers to pursue career in data science
MIT ReACT and Innovation Leadership Bootcamp provide valuable opportunities.
Drones navigate unseen environments with liquid neural networks
MIT researchers exhibit a new advancement in autonomous drone navigation, using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.
A method for designing neural networks optimally suited for certain tasks
With the right building blocks, machine-learning models can more accurately perform tasks like fraud detection or spam filtering.
Strengthening trust in machine-learning models
Associate Professor Tamara Broderick and colleagues build a “taxonomy of trust” to identify where confidence in the results of a data analysis might break down.
Festival of Learning 2023 underscores importance of well-designed learning environments
Keynote speaker Bror Saxberg SM ’85, PhD ’89 encourages understanding learners and their contexts.
Helping the cause of environmental resilience
Assistant professor of nuclear science and engineering Haruko Wainwright believes environmental monitoring can empower citizens to make informed decisions about their energy and environment.
Learning to grow machine-learning models
New LiGO technique accelerates training of large machine-learning models, reducing the monetary and environmental cost of developing AI applications.
Minimizing electric vehicles’ impact on the grid
Careful planning of charging station placement could lessen or eliminate the need for new power plants, a new study shows.
New method accelerates data retrieval in huge databases
Researchers used machine learning to build faster and more efficient hash functions, which are a key component of databases.
Large language models are biased. Can logic help save them?
MIT researchers trained logic-aware language models to reduce harmful stereotypes like gender and racial biases.
Report: CHIPS Act just the first step in addressing threats to US leadership in advanced computing
The Advanced Computing Users Survey, sampling sentiments from 120 top-tier universities, national labs, federal agencies, and private firms, finds the decline in America’s advanced computing lead spans many areas.