AI-enabled translations initiative empowers Ukrainian learners with new skills
Ukrainian students and collaborators provide high-quality translations of MIT OpenCourseWare educational resources.
Like human brains, large language models reason about diverse data in a general way
A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.
Evelina Fedorenko receives Troland Award from National Academy of Sciences
Cognitive neuroscientist is recognized for her groundbreaking discoveries about the brain’s language system.
Global Languages program empowers student ambassadors
The Student Ambassadors program offers MIT undergraduates from across language areas opportunities to share their voices, passion, and commitment with the community.
Personal interests can influence how children’s brains respond to language
McGovern Institute neuroscientists use children’s interests to probe language in the brain.
New autism research projects represent a broad range of approaches to achieving a shared goal
At a symposium of the Simons Center for the Social Brain, six speakers described a diversity of recently launched studies aimed at improving understanding of the autistic brain.
Professor Emeritus James Harris, a scholar of Spanish language, dies at 92
The longtime professor is remembered for his influential role in MIT’s linguistics program and in the expansion of foreign language instruction at the Institute.
Your child, the sophisticated language learner
New research shows that a grasp of grammar helps even very young children figure out when they must acquire new words.
Scientists find neurons that process language on different timescales
In language-processing areas of the brain, some cell populations respond to one word, while others respond to strings of words.
MIT study explains why laws are written in an incomprehensible style
The convoluted “legalese” used in legal documents conveys a special sense of authority, and even non-lawyers have learned to wield it.
LLMs develop their own understanding of reality as their language abilities improve
In controlled experiments, MIT CSAIL researchers discover simulations of reality developing deep within LLMs, indicating an understanding of language beyond simple mimicry.
MIT researchers advance automated interpretability in AI models
MAIA is a multimodal agent that can iteratively design experiments to better understand various components of AI systems.
Reasoning skills of large language models are often overestimated
New CSAIL research highlights how LLMs excel in familiar scenarios but struggle in novel ones, questioning their true reasoning abilities versus reliance on memorization.
What is language for?
Drawing on evidence from neurobiology, cognitive science, and corpus linguistics, MIT researchers make the case that language is a tool for communication, not for thought.
Helping nonexperts build advanced generative AI models
MosaicML, co-founded by an MIT alumnus and a professor, made deep-learning models faster and more efficient. Its acquisition by Databricks broadened that mission.