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.
A communication system whose users reveal only a few verified aspects of their identity can empower less confident participants to speak up, researchers report.
The award recognizes exceptional distinction in teaching, research, and service at MIT.
Sensors that detect plant signaling molecules can reveal when crops are experiencing too much light or heat, or attack from insects or microbes.
MIT Center for Transportation and Logistics Director Matthias Winkenbach uses AI to make vehicle routing more efficient and adaptable for unexpected events.
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.
In research that may lead to next-generation airplanes and spacecraft, MIT engineers used carbon nanotubes to prevent cracking in multilayered composites.
Postdoc Shaniel Bowen studies women's sexual anatomy and health while also working to interest young women in STEM careers.
Work by MIT engineers could lead to plethora of new applications, including better detectors for nuclear materials at ports.
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.
Researchers create a curious machine-learning model that finds a wider variety of prompts for training a chatbot to avoid hateful or harmful output.
Most antibiotics target metabolically active bacteria, but with artificial intelligence, researchers can efficiently screen compounds that are lethal to dormant microbes.
New modular, spring-like devices maximize the work of live muscle fibers so they can be harnessed to power biohybrid bots.