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.
The Student Ambassadors program offers MIT undergraduates from across language areas opportunities to share their voices, passion, and commitment with the community.
McGovern Institute neuroscientists use children’s interests to probe language in the brain.
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.
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.
New research shows that a grasp of grammar helps even very young children figure out when they must acquire new words.
In language-processing areas of the brain, some cell populations respond to one word, while others respond to strings of words.
The convoluted “legalese” used in legal documents conveys a special sense of authority, and even non-lawyers have learned to wield it.
In controlled experiments, MIT CSAIL researchers discover simulations of reality developing deep within LLMs, indicating an understanding of language beyond simple mimicry.
MAIA is a multimodal agent that can iteratively design experiments to better understand various components of AI systems.
New CSAIL research highlights how LLMs excel in familiar scenarios but struggle in novel ones, questioning their true reasoning abilities versus reliance on memorization.
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.
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.
Combining natural language and programming, the method enables LLMs to solve numerical, analytical, and language-based tasks transparently.
MIT CSAIL and Project CETI researchers reveal complex communication patterns in sperm whales, deepening our understanding of animal language systems.
An MIT study finds the brains of polyglots expend comparatively little effort when processing their native language.