Research
Our work is organized around five themes. Each theme gathers research areas that share a central question.
Map of connections
Follow the threads between themes, areas, projects, people, and publications.
Projects and papers will appear here as they are published.
- PerceptionTheme
- contains: Computer Vision
- LanguageTheme
- contains: Language Models & NLP
- JunctionTheme
- contains: Vision-Language Models
- contains: Multimodal AI
- UnderstandingTheme
- contains: Representation Learning
- contains: Causal Inference
- DiscoveryTheme
- contains: AI for Science
- contains: Computational Biology
- Computer VisionResearch area
- contains: Perception
- Language Models & NLPResearch area
- contains: Language
- Vision-Language ModelsResearch area
- contains: Junction
- Multimodal AIResearch area
- contains: Junction
- Representation LearningResearch area
- contains: Understanding
- Causal InferenceResearch area
- contains: Understanding
- AI for ScienceResearch area
- contains: Discovery
- Computational BiologyResearch area
- contains: Discovery
Research themes
Each theme gathers areas that share a central question.
Perception
How machines see
Computer Vision
Visual understanding, image analysis, medical imaging, segmentation, recognition, and generation.
Language
How machines read, reason, and speak
Language Models & NLP
Language understanding, generation, retrieval, reasoning, and knowledge-intensive systems.
Junction
Where modalities meet
Vision-Language Models
Models that ground language in images and images in language.
Multimodal AI
Systems that connect visual, textual, and other modalities, with a focus on multimodal understanding and reasoning.
Understanding
What is learned, and why it holds
Representation Learning
Deep learning, generative models, evaluation, and new learning methods; the study of what models learn internally.
Causal Inference
Relationships, interventions, and mechanisms beyond correlation.
Discovery
Computation in service of science
AI for Science
Computational intelligence applied to problems in biology, medicine, and other scientific disciplines.
Computational Biology
Machine learning and computational approaches for biological and biomedical research.