What words can convey
Natural language processing models capture rich knowledge of words’ meanings through statistics.
Natural language processing models capture rich knowledge of words’ meanings through statistics.
Committed to Caring honoree Athulya Aravind helps her graduate students navigate research and academia.
State-of-the-art analysis of brain images from nearly 700 children has turned up surprisingly few links between white matter structure and reading ability.
Among adults who vary in their knowledge of number words, the ability to reason about numbers is bound by the highest number they can count to.
A new method automatically describes, in natural language, what the individual components of a neural network do.
Calligrapher Hajj Wafaa shares insights about his craft while MIT Global Languages announces the arrival of Arabic classes.
Reducing the complexity of a powerful machine-learning model may help level the playing field for automatic speech-recognition around the world.
Neuroscientists find the internal workings of next-word prediction models resemble those of language-processing centers in the brain.
Preparing for a career advancing the science and policy of climate issues, junior Ryan Conti focuses on math, computer science, and the philosophy of language.
The move places all of MIT’s Institute-wide writing and communications instruction under one academic roof.
The physicist, neuroscientist, and PhD candidate creates augmentative technology for children with neurodevelopmental differences.
Senior Anjali Nambrath will graduate with majors in physics and mathematics, a minor in French — and a deep love for theater.
An urgent call to confront climate change reverberated throughout MIT Better World (Sustainability), a virtual gathering of the global MIT community.
MIT researchers’ new hardware and software system streamlines state-of-the-art sentence analysis.
A new approach could lower computing costs and increase accessibility to state-of-the-art natural language processing.