Research Grant from Accenture

This research aims to investigate ChatGPT’s natural language inference (NLI) capabilities in healthcare contexts, focusing on tasks like understanding clinical trial information and evidence-based health fact-checking. We will explore various Chain-of-Thought methods to improve ChatGPT’s reasoning abilities and integrate dynamic context analysis techniques for better inference accuracy. Our approach involves Read more…

Google Research Grant for End-to-End Active Learning Framework for Medical Image Annotation

We develop a modularized active learning framework within the Google Cloud Platform, facilitating large-scale medical image annotation in a cost-effective manner while ensuring data sovereignty and privacy. Our work emphasizes a federated learning use case for healthcare data, taking into consideration data protection and security aspects. Our goal is to Read more…

Modelling Visual Attention for Generating an Artificial Episodic Memory

Visual Attention and the Artificial Episodic Memory Recent advances in mobile eye tracking technologies opened the way to design novel attention-aware intelligent user interaction. In particular, the gaze signal can be used to create or improve artificial episodic memories for offline processing, but also real-time processing. We investigate different methods Read more…