How AI is improving simulations with smarter sampling techniques
MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.
MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.
The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.
New statistical models based on physiological data from more than 100 surgeries provide objective, accurate measures of the body’s subconscious perception of pain.
Researchers find large language models make inconsistent decisions about whether to call the police when analyzing surveillance videos.
PhD student Mariel García-Montes researches the internet’s far-reaching impact on society, especially regarding privacy and young people.
“ScribblePrompt” is an interactive AI framework that can efficiently highlight anatomical structures across different medical scans, assisting medical workers to delineate regions of interest and abnormalities.
Researchers developed an easy-to-use tool that enables an AI practitioner to find data that suits the purpose of their model, which could improve accuracy and reduce bias.
Saeed Miganeh’s work at MIT is helping him answer important questions about designing effective programs for poverty mitigation and economic growth in African countries.
The software tool NeuroTrALE is designed to quickly and efficiently process large amounts of brain imaging data semi-automatically.
The approach can detect anomalies in data recorded over time, without the need for any training.
MIT Concrete Sustainability Hub research presents a streamlined pavement life-cycle assessment framework to enable a large set of stakeholders to conduct environmental analysis of pavements.
Reflecting a “Moore’s Law of aviation,” commercial flight has become roughly twice as safe each decade since the 1960s; Covid-19 added a wrinkle, however.
More efficient than other approaches, the “Thermometer” technique could help someone know when they should trust a large language model.
Shared commitment to data-driven approach will help identify new policy solutions to reduce poverty and increase economic mobility in the US.
Scientists created the step-by-step guide to unlock the potential of NASA’s James Webb Space Telescope for identifying habitable worlds in the universe.