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…

IML member at Software Campus: Interpretability in Unsupervised Machine Learning: Local and Model-Agnostic Explanations

The Software Campus is a prestigious training program for master’s and doctoral students in computer science, preparing them for leadership roles. The program, supported by the Federal Ministry of Education and Research, is a collaboration between 21 universities, research institutions, and companies. Participants lead their own IT research project, managing Read more…