
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Displaying 31 - 60 of 132
The ab initio description of medium-mass nuclei is one of the most dynamic frontiers in nuclear structure theory. One ...
Hash functions play a vital role in modern computing. Their applications range from database queries, over storage of ...
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
In order to facilitate rapid prototyping and testing in the advanced motorsport industry, we consider the problem of ...
Acoustic keylogging describes a category of side-channel attacks that recover typed keystrokes from audio-streams of ...
Nuclear energy density functionals successfully reproduce properties of nuclei across almost the entire nuclear chart ...
Understanding the underlying reward mechanisms of human locomotion and transferring this knowledge to humanoid robots is ...
Lightweight Cryptography is about developing and analyzing algorithms that provably obtain security goals, such as ...
The prime goal of ab initio nuclear structure theory is the description of correlated systems of many nucleons based on ...
Motion planning is a crucial component of autonomous robot systems. It addresses the problem of finding a feasible ...
Reinforcement Learning (RL) is a promising tool for solving complicated control and decision-making tasks in a data ...
Autonomous robots need to be able to identify and recognize objects in a scene. For this crucial task we need to ...
Analyzing the correlation structure of quantum systems is central to understanding their behaviour. The notion of sector ...
The exaFOAM project (https://exafoam.eu) aims at overcoming the current limitations of Computational Fluid Dynamics (CFD ...
Planning algorithms have shown impressive performance in many domains such as chess and Go. In particular, Monte Carlo ...
The structure of nuclei gives fundamental insight into strong interactions between nucleons, beyond-standard-model ...
In recent years, reinforcement learning and its multi-agent analogue have achieved great success in solving various ...
Massive amounts of newly generated gene expression data have been used to further enhance personalised health ...
The human brain is a large structure (billions of neurons and orders of magnitude more synapses) that is not understood ...
In this project, our primary focus is to validate and benchmark the performance of a measurement-based variational ...
Robotic manipulation stands as a largely unsolved problem despite significant advances in robotics and machine learning ...
Autonomous robotic assembly requires a well-orchestrated sequence of high-level actions and smooth manipulation ...
Neural networks are usually trained with a static architecture. However, the fields of growing and pruning, or ...
With increasing system performance and complexity, it is becoming increasingly crucial to examine the scaling behavior ...
The project focuses on the cryptanalysis of the Computational Supersingular Isogeny (CSSI) problem which underlies the ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
The exaFOAM project (https://exafoam.eu) aims at overcoming the current limitations of Computational Fluid Dynamics (CFD ...
The ab initio description of nuclear structure phenomena has progressed tremendously over the past years. In particular ...
In variational inference, we want to approximate an intractable target distribution (often given as a posterior ...
Recent developments in the field of complex systems have shown that real-world multiagent systems are often not ...