Data Quality Assurance
This module ensures that the data used for AI model operations respects some pre-defined quality criteria.
Welcome to the AI Assets Catalog! Here you can browse, search and download all the assets currently indexed in the AI-on-Demand platform, including AI libraries, datasets, containers, and more. You are welcome to publish your own AI assets here! To do so, log in in to the platform, go to your dashboard and use the Submit new content button to access the submission forms.
This module ensures that the data used for AI model operations respects some pre-defined quality criteria.
To boost interpretability with concept vectors, a reverse engineering approach automates concept identification by analyzing the latent space of deep neural networks using Singular Value Decomposition. This framework combines factorization, latent space c...
Tutorial on the DIGIHALL Platform based on Papyrus for Robotics, for the design of vehicle software architectures and for the validation of behavior-tree based scenarios and autonomous driving policies in CARLA/ROS 2
A novel progressive training algorithm for learning Graph Neural Networks with Differential Privacy guarantees
Introducing ESFA (Empirical Season Forecast for Agriculture) – your reliable companion in long-term agricultural planning. Our validated AI algorithms, which outperform other state-of-the-art climate prediction models, are at the core of ESFA's capabiliti...
This asset provides the interfacing between the PURPLE engine and the Unified Planning framework developed by the AIPlan4EU project.
A tailored Graph Neural Network architecture with Differential Privacy guarantees for both training and inference.
Current solutions to legal translation are based on machine learning techniques. Such techniques are based on statistics and always exhibit a margin of error. In addition, machine learning, which is based on data and algorithms, is by definition unethical...
In the domains of aeronautics, automotive, energy, manufacturing and retail, Munich Innovation Hub for Applied AI proposes novel solutions to counter the complexity and dependability challenges resulting from distributed accountability, the need for more ...