The method uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task.

A new approach could streamline virtual training processes or aid clinicians in reviewing diagnostic videos.

A new “consensus game,” developed by MIT CSAIL researchers, elevates AI’s text comprehension and generation skills.

Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.

For the first time, researchers use a combination of MEG and fMRI to map the spatio-temporal human brain dynamics of a visual image being recognized.

Researchers have developed a security solution for power-hungry AI models that offers protection against two common attacks.

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.

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 CSAIL researchers are using ideas from game theory to improve the reliability of language generation in language models.