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.
A communication system whose users reveal only a few verified aspects of their identity can empower less confident participants to speak up, researchers report.
A CSAIL study highlights why it is so challenging to program a quantum computer to run a quantum algorithm, and offers a conceptual model for a more user-friendly quantum computer.
The MIT Schwarzman College of Computing building will form a new cluster of connectivity across a spectrum of disciplines in computing and artificial intelligence.
Graduate student Hammaad Adam is working to increase the supply of organs available for transplants, saving lives and improving health equity.
By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.
The device, based on simple tetromino shapes, could determine the direction and distance of a radiation source, with fewer detector pixels.
The Institute also ranks second in five subject areas.
Researchers create a curious machine-learning model that finds a wider variety of prompts for training a chatbot to avoid hateful or harmful output.
MIT scientists have tackled key obstacles to bringing 2D magnetic materials into practical use, setting the stage for the next generation of energy-efficient computers.
MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain.
The 16 finalists — representing every school at MIT — will explore generative AI’s impact on privacy, art, drug discovery, aging, and more.
Screen-reader users can upload a dataset and create customized data representations that combine visualization, textual description, and sonification.
With help from a large language model, MIT engineers enabled robots to self-correct after missteps and carry on with their chores.
Researchers demonstrate a technique that can be used to probe a model to see what it knows about new subjects.