The CSAIL scientist describes natural language processing research through state-of-the-art machine-learning models and investigation of how language can enhance other types of artificial intelligence.
Award is given each year by the School of Engineering to an outstanding educator up for promotion to associate professor without tenure.
MIT researchers uncover the structural properties and dynamics of deep classifiers, offering novel explanations for optimization, generalization, and approximation in deep networks.
MIT researchers trained logic-aware language models to reduce harmful stereotypes like gender and racial biases.
AeroAstro major and accomplished tuba player Frederick Ajisafe relishes the community he has found in the MIT Wind Ensemble.
Built on recent advances in machine learning, the model predicts how well individuals will produce and comprehend sentences.
MIT researchers are discovering which parts of the brain are engaged when a person evaluates a computer program.
Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.
Dan Huttenlocher is a professor of electrical engineering and computer science and the inaugural dean at MIT Schwarzman College of Computing.
Yilun Du, a PhD student and MIT CSAIL affiliate, discusses the potential applications of generative art beyond the explosion of images that put the web into creative hysterics.
Researchers develop a new method that uses multiple models to create more complex images with better understanding.
MIT engineers are controlling pore openings for maximum molecule capture.
Stacy Springs named executive director; Richard Braatz is associate faculty director.
Using a randomized field experiment, researchers discover that Wikipedia articles affect judges’ legal reasoning.
A machine-learning method imagines what a sentence visually looks like, to situate and ground its semantics in the real world, improving translation, like humans can.