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.
Topic
Laboratory for Information and Decision Systems (LIDS)
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The sweet taste of a new idea
Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.
With AI, researchers predict the location of virtually any protein within a human cell
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
Study shows vision-language models can’t handle queries with negation words
Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.
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.
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.
A faster way to solve complex planning problems
By eliminating redundant computations, a new data-driven method can streamline processes like scheduling trains, routing delivery drivers, or assigning airline crews.
Researchers teach LLMs to solve complex planning challenges
This new framework leverages a model’s reasoning abilities to create a “smart assistant” that finds the optimal solution to multistep problems.
Researchers establish new basis for quantum sensing and communication
New theoretical approach for generating quantum states could lead to improved accuracy and reliability of information and decision systems.
Sometimes, when competitors collaborate, everybody wins
Engineers developed a planning tool that can help independent entities decide when they should invest in joint projects.
MIT faculty, alumni named 2025 Sloan Research Fellows
Annual award honors early-career researchers for creativity, innovation, and research accomplishments.
Reducing carbon emissions from residential heating: A pathway forward
A new MIT study identifies steps that can lower not only emissions, but also costs, across the combined electric power and natural gas industries that now supply heating fuels.
Validation technique could help scientists make more accurate forecasts
MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.
MIT engineers help multirobot systems stay in the safety zone
New research could improve the safety of drone shows, warehouse robots, and self-driving cars.
Expanding robot perception
Associate Professor Luca Carlone is working to give robots a more human-like awareness of their environment.