<span class="vcard">MIT Laboratory for Information and Decision Systems</span>
MIT Laboratory for Information and Decision Systems
Aeronautical and astronautical engineering Algorithms Artificial Intelligence Computer science and technology Data Electric grid machine learning MIT Schwarzman College of Computing NASA Networks Research School of Engineering Software Transportation

Learning how to predict rare kinds of failures

Researchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling or autonomous vehicles.

Algorithms Artificial Intelligence Autonomous vehicles Civil and environmental engineering Computer science and technology Data Emissions IDSS Laboratory for Information and Decision Systems (LIDS) Logistics machine learning MIT Schwarzman College of Computing Research School of Engineering Sustainability Traffic management Transportation

New tool evaluates progress in reinforcement learning

“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.

Algorithms Artificial Intelligence Civil and environmental engineering IDSS Laboratory for Information and Decision Systems (LIDS) MIT Schwarzman College of Computing Networks Research School of Engineering Systems design

Designing a new way to optimize complex coordinated systems

Using diagrams to represent interactions in multipart systems can provide a faster way to design software improvements.

Artificial Intelligence Climate Computer modeling Electrical Engineering & Computer Science (eecs) Energy Funding Grants Laboratory for Information and Decision Systems (LIDS) Lincoln Laboratory machine learning MIT Schwarzman College of Computing School of Engineering

Generative AI for smart grid modeling

MIT LIDS awarded funding from the Appalachian Regional Commission as part of a multi-state collaborative project to model and test new smart grid technologies for use in rural areas.

Artificial Intelligence

ML 2.0: Machine learning for many

Automated data science tools developed by MIT and Feature Labs deliver their first AI product.