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Deciphering the architecture and function of bacterial membrane metal efflux platforms – BAC-MMEP
Metal ions are toxic in large quantities and their intracellular concentration must be finely regulated. We have previously found that metals are used by macrophages to poison the tuberculosis bacillu
See, Touch and Manipulate: Robot Learning for Dexterous Robot Bimanual Manipulation through Vision and Touch – Aistotle
Dexterous manipulation has been a long-standing challenge in AI and robotics. Already Aristotle noted that the hand is the “tool of tools”, and Anaxagoras held that “man is the most intelligent of the
Trustworthy AI Through Propagating Sets – TRAITS
Fortschritte in der künstlichen Intelligenz haben zur Entwicklung autonomer Agenten (Autos, Boote, Drohnen) geführt, die in einer dynamischen, offenen Umgebung agieren. Wie durch öffentlichkeits\-wirk
Learning Human-like Interactive Grasping based on Visual and Haptic Feedback – Learn2grasp
Human dexterity is unmatched by robotic grippers so far. The objective of the proposed project is to learn human-like grasping with a highly sensorized, compliant anthropomorphic hand from cluttered
Data-driven Stochastic 3D MIcrostructure modeling for LEarning mechanical properties – SMILE
The internal microstructure arrangement of a given material system determines its mechanical properties. Damage localization, which leads to brittle or ductile fracture in metal alloys, is driven by t
Cell growth in Lab-on-a-Chip devices controlled by Artificial Intelligence – LOCAI
In this project, the consortium members will develop an automated system for cell culture optimization based on the combination of machine learning with Lab-on-a-Chip (LOC) technology. The benefits of
Affordable Artificial Intelligence – AffAI
The Affordable AI (AffAI) proposal aims to address three bottlenecks preventing industrial end users from tapping into the potential of AI technologies: * a considerable know-how is required to bui
Predicting future video content – VideoPredict
Predicting future video content is a challenging problem with high potential impact in downstream tasks such as self-driving cars and robotics, but also much promise for the learning process itself, f
Image Editing with Deep Generative Networks – IDeGeN
The goal of this project is to use generative neural networks in order to perform image editing, and in particular the editing of "high level" attributes, such as the expression or appearance of a fac
Understanding Deep Neural Networks with Game Theory – UNDERNEATH
The theoretical analysis of deep neural networks (DNN) is arguably among the most challenging research directions in machine learning right now, as it requires scientists to lay novel statistical lear
