Our Research
Exploring the frontiers of artificial intelligence
Research Focus Areas
Our teams work across multiple disciplines to advance AI capabilities
All
Deep Learning
Natural Language Processing
Computer Vision
Multimodal AI
Responsible AI
Neural Architecture Search for Resource-Constrained Environments
Our team has developed a novel approach to automatically design neural networks that can operate efficiently on devices with limited computational resources.
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Multimodal Learning for Ancient Artifact Analysis
Combining computer vision and natural language processing to analyze and catalog ancient Roman artifacts with unprecedented accuracy.
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Reinforcement Learning for Urban Planning Optimization
Developing AI systems that can help city planners optimize traffic flow, energy usage, and public transportation in Rome's historic center.
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