ETH Competence Center - ETH AI CenterAcronym | | Homepage | https://ai.ethz.ch/ | Country | Switzerland | ZIP, City | | Address | | Phone | | Type | Academy | Parent organization | ETH Zurich | Current organization | ETH Competence Center - ETH AI Center | Members | |
Open OpportunitiesAchieving task-level generalizations requires acquiring a large amount of rich interaction data. Simulators offer a safe, efficient, and cost-effective means of system development. However, generating task and scene-level diversity requires significant human effort to develop and verify novel tasks. This project aims to automate this process by leveraging the grounding capabilities of large language models. - Intelligent Robotics, Knowledge Representation and Machine Learning
- Bachelor Thesis, Master Thesis, Semester Project
| What if a simple smartphone app using artificial intelligence could help enhancing the understanding of one’s health and monitor with high precision the presence and evolution of important biomarkers for various physiological and pathological aspects? This project aims to develop an artificial intelligence-based application that enables real time and high precision quantification of biomarkers in body fluids, from an image of an assay’s readout. To do so, computer vision techniques will be applied, and different neural network will be tailored for the desired application to enhance the potential of a paper-based point of care device. - Artificial Intelligence and Signal and Image Processing, Biomaterials, Medical and Health Sciences
- ETH Zurich (ETHZ), Internship, Master Thesis, Semester Project
| Fast and efficient structure optimization based on parametrized shapes in surrogate fluid simulation environment. - Engineering and Technology, Information, Computing and Communication Sciences, Physics
- Bachelor Thesis, Master Thesis, Semester Project
| This project aims to investigate the use of machine learning-based algorithms to obtain a deeper understanding of the graph-structured vasculature preserved in corrosion casts. For a more detailed description, please refer to the attached document and the information below. - Central Nervous System, Computer Vision, Neural Networks, Genetic Alogrithms and Fuzzy Logic
- Lab Practice, Master Thesis, Semester Project
| Robots need to manipulate a wide range of unknown objects, from transparent to shiny surfaces. The goal of this project is to investigate learning techniques to bridge the visual domain gap between high-fidelity rendered scenes and real-world images for scene understanding.
- Computer Vision, Intelligent Robotics, Knowledge Representation and Machine Learning
- Master Thesis
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