Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
Title: Language-Centric Medical Image Understanding Presenter: Peiqi Wang Presenter’s Affiliation: CSAIL Thesis Supervisor(s): Polina Golland Date: May 14, 2025 Time: 3:10PM – 4:10PM In-person location: 32-D463 (Star) Zoom: https://mit.zoom.us/j/8716348319…
New type of “state-space model” leverages principles of harmonic oscillators.
Doctoral Thesis Title: Building small domain-specific masked language models vs. large generative models for clinical decision support and their effects on users.Presenter: Elena SergeevaPresenter’s Affiliation CSAILThesis Supervisor(s): Peter…
MAD Fellow Alexander Htet Kyaw connects humans, machines, and the physical world using AI and augmented reality.
Doctoral Thesis Title: Contactless Sleep and Physiological Monitoring Using Artificial Intelligence and Radio WavesPresenter: Hao HePresenter’s Affiliation (CSAIL, RLE, LIDS, MTL, etc.): CSAILThesis Supervisor(s): Prof. Dina Katabi Date: May 7, 2025Time: 2:30 pm –…
A new method lets users ask, in plain language, for a new molecule with certain properties, and receive a detailed description of how to synthesize it.
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Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
New faculty member Kaiming He discusses AI’s role in lowering barriers between scientific fields and fostering collaboration across scientific disciplines.