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The Unit aims to use efficient, reliable, theory-grounded ML to create human-interacting responsible and sustainable AI systems, and conducts cutting-edge research in the following themes:
Analysis, interpretation and generation of human language and its automation in technology.
Developing robust machine learning tools and algorithms with wide AI applications.
Reinforcement learning, active learning, and decision-making systems applied to intelligent and social artificial (robotic) agents
Naturalistic artificial (robotic) systems that can understand and interact with the world around them
Computational models and analytical approaches for clinical datasets that incorporate explainability mechanisms tailored for medical applications
Infrastructure and systems that will support advances in AI and improve AI capability.
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