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.
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.
Study finds language-processing difficulties are an indicator — in addition to memory loss — of amnestic mild cognitive impairment.
MIT students studied the Indigenous language during a new Independent Activities Period course to gain exposure and understand the language’s cultural and practical value.
The awards offer opportunities to expand research into unique areas of scholarship.
Team-based targeted projects, multi-mentor fellowships ensure that scientists studying social cognition, behavior, and autism integrate multiple perspectives and approaches to pressing questions.
MIT researchers introduce a method that uses artificial intelligence to automate the explanation of complex neural networks.