On the Completeness of Self-Supervised Learning: Group Theory, Causality, and their Combinations
In this project, we aim to answer the following three fundamental questions in self-supervised learning…
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Self-aware Continuous Learning Models
Learning continually, to accumulate knowledge, is one of the prominent features of human intelligence. Unlike…
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Towards Artificial General Intelligence with Heterogeneous Meta-Learning
Human intelligence is remarkable in terms of generalization. A human has outstanding capability to generalize…
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Memory-efficient Online Continuous Object Recognition on Video Streams
The world is not stationary. To thrive in evolving environments, humans are capable of continual…
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The “Other Me”: Human-Centered AI Assistance In Situ
Imagine a situated AI assistant embedded in your smart glasses and collaborating with you to…
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JARVIS(DHL): Transforming Chronic Care for Diabetes, Hypertension and HyperLipidemia (DHL) with AI
The team will develop an AI system called JARVISDHL to gather local healthcare data in order to…
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Explainable AI as a Service for Community Healthcare
This proposal focuses on advanced AI with prototype devices built for deployment and testing in…
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An end-to-end Adaptive AI-Assisted 3H Care (A3C) system
The proposal covers both the assessment and intervention for 3H patients. The system periodically assesses…
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Deep Generative Modelling of Epigenomics Data
DNA modifications contribute to diseases such as cancer and it has been found to be…
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ESCAI: Efficient and Secure Collaborative AI
Collaborative (federated) machine learning has recently emerged as a promising approach for building machine learning…
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InnoBrain for Artificial Creativity
AI is underdeveloped for creative ideation at the fuzzy front end of innovation processes. We…
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Reflective Intelligence Amplification: Tackling Wicked Problems Through Dynamic Search Space Exploration
The research objective is to develop a Reflective Intelligence Amplification method that is able to…
