Image annotation remains a significant bottleneck in image analysis pipelines. In research settings especially, annotating large image corpora demands substantial effort, often forcing teams to compromise on quality by resorting to coarser methods like point annotations rather than full outlines. To address this, we collaborated with the Helmholtz Institute for Read more
Last month, a photo shooting on behalf of Google took place at IML. The aim was to obtain professional photos for presenting the GCP Project, which is sponsored by Google. The following pictures are a selection of the shooting results: Photos by: Felix BrüggemannCopyright: Google
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
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
The research department IML extends its GPU infrastructure with a powerful DGX-A100 (640 GB) to accelerate end-to-end GPU workflows, transfer learning, and interactive machine learning. The system is hosted at DFKI’s large deep learning center in Kaiserslautern. The new NVIDIA DGX-A100 (640 GB) is expected to significantly accelerate AI research Read more
In this present day and age of smart phones, ipads and other smart devices a digital camera has become an integral part of our daily experience. This combined with our desire to capture moments in images has lead to a vast repository of myriad images on the internet. In this Read more
We present a virtual reality (VR) application that enables interactive image clustering and fine-tuning of a deep neural network by using natural hand gestures. Using a pre-trained AlexNet, we apply PCA and t-SNE dimensionality reduction techniques to project image data sets into the 3D VR space. Resulting spatial clusters of Read more
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