Report: Sustainability in supply chains is still a firm-level priority
Analysis from MIT’s Center for Transportation and Logistics finds companies are still acting to reduce emissions, but often lag in measurement techniques.
System lets people personalize online social spaces while staying connected with others
By enabling users to easily create social apps that serve communities’ needs, the Graffiti framework aims to promote healthier online interactions.
MIT affiliates win AI for Math grants to accelerate mathematical discovery
Department of Mathematics researchers David Roe and Andrew Sutherland seek to advance automated theorem proving; four additional MIT alumni also awarded.
How to build AI scaling laws for efficient LLM training and budget maximization
MIT-IBM Watson AI Lab researchers have developed a universal guide for estimating how large language models will perform based on smaller models in the same family.
Climate Action Learning Lab helps state and local leaders identify and implement effective climate mitigation strategies
J-PAL North America’s inaugural Climate Action Learning Lab provided six U.S. cities and states with customized training and resources to leverage data and evaluation to advance climate solutions that work.
This MIT spinout is taking biomolecule storage out of the freezer
Cache DNA has developed technologies that can preserve biomolecules at room temperature to make storing and transporting samples less expensive and more reliable.
A human-centered approach to data visualization
Balancing automation and agency, Associate Professor Arvind Satyanarayan develops interactive data visualizations that amplify human creativity and cognition.
3 Questions: The pros and cons of synthetic data in AI
Artificially created data offer benefits from cost savings to privacy preservation, but their limitations require careful planning and evaluation, Kalyan Veeramachaneni says.
3 Questions: On biology and medicine’s “data revolution”
Professor Caroline Uhler discusses her work at the Schmidt Center, thorny problems in math, and the ongoing quest to understand some of the most complex interactions in biology.
MIT researchers develop AI tool to improve flu vaccine strain selection
VaxSeer uses machine learning to predict virus evolution and antigenicity, aiming to make vaccine selection more accurate and less reliant on guesswork.
J-PAL North America launches Initiative for Effective US Crime Policy
The IECP will generate rigorous evidence for fair and effective public safety solutions.
Simpler models can outperform deep learning at climate prediction
New research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.
Lincoln Laboratory reports on airborne threat mitigation for the NYC subway
Researchers studied air flow characteristics, sensor performance, and mitigation strategies within this complex subway system.
Better public service with data
MIT master’s student and Brazilian diplomat Davi Augusto Oliveira Pinto wants to help policymakers make informed choices to improve people’s lives.
Helping data storage keep up with the AI revolution
Storage systems from Cloudian, co-founded by an MIT alumnus, are helping businesses feed data-hungry AI models and agents at scale.