To build a better AI helper, start by modeling the irrational behavior of humans
A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.
A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.
Lincoln Laboratory researchers are using AI to get a better picture of the atmospheric layer closest to Earth’s surface. Their techniques could improve weather and drought prediction.
The new approach “nudges” existing climate simulations closer to future reality.
With help from a large language model, MIT engineers enabled robots to self-correct after missteps and carry on with their chores.
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.
AI models that prioritize similarity falter when asked to design something completely new.
A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.
The challenge involves than just a blurry JPEG. Fixing motion artifacts in medical imaging requires a more sophisticated approach.
EECS professor appointed to new professorship in the MIT Schwarzman College of Computing.
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.