Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 31 - 60 of 150
Deep Reinforcement Learning for Robotics
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
Engineering SciencesComputer Science
Detecting Suitcase Damages With Artificial Intelligence – IT-Project Lufthansa
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
Engineering SciencesComputer Science
Development of Methods and Concepts for the Processing of Geodata for Detailed 3D City Models
Three-dimensional virtual city models play an increasingly important role in various fields, including digital city ...
Engineering SciencesComputer Science
Generation of Training Data for Hardware-Friendly Hash-Width Estimation
Hash functions play a vital role in modern computing. Their applications range from database queries, over storage of ...
Engineering SciencesComputer Science
Gradient-Based Variational Inference by Policy Search
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
Engineering SciencesComputer Science
Imitation Learning for Lap Time Simulation
In order to facilitate rapid prototyping and testing in the advanced motorsport industry, we consider the problem of ...
Engineering SciencesComputer Science-
Impact of Multipath-Effects on Acoustic Keylogging Systems
Acoustic keylogging describes a category of side-channel attacks that recover typed keystrokes from audio-streams of ...
Engineering SciencesComputer Science 
Improving the Understanding of Neuromuscular Gait Control using Deep Reinforcement Learning
Understanding the underlying reward mechanisms of human locomotion and transferring this knowledge to humanoid robots is ...
Engineering SciencesComputer Science
Investigating the Machine Learning-based Cryptanalysis of Lightweight Block Ciphers
Lightweight Cryptography is about developing and analyzing algorithms that provably obtain security goals, such as ...
Engineering SciencesComputer Science
Investigation of Photochemical Pathways to Metal-Nitrene Compounds from Azide Precursors I
Metal nitrene compounds are highly reactive species with a unique electronic structure. Such compounds are promising ...
Natural SciencesPhysical and Theoretical Chemistry
Investigation of Spin Isomers in SnNFe with N = 8-16
In the framework of the Collaborative Research Center (CRC 1487), iron is studied as a substitute for rare-earth metals ...
Natural SciencesPhysical and Theoretical Chemistry
Learning to Plan
Motion planning is a crucial component of autonomous robot systems. It addresses the problem of finding a feasible ...
Engineering SciencesComputer Science
Metric Self-Paced Reinforcement Learning
Reinforcement Learning (RL) is a promising tool for solving complicated control and decision-making tasks in a data ...
Engineering SciencesComputer Science-
Neural Scene Understanding For Robotics
Autonomous robots need to be able to identify and recognize objects in a scene. For this crucial task we need to ...
Engineering SciencesComputer Science 
Numerical Bounds on Few Body Sector-Lengths
Analyzing the correlation structure of quantum systems is central to understanding their behaviour. The notion of sector ...
Natural SciencesParticles, Nuclei and FieldsEngineering SciencesComputer Science
Performance Profiling Tools for Large-Scale Scientific Applications
The exaFOAM project (https://exafoam.eu) aims at overcoming the current limitations of Computational Fluid Dynamics (CFD ...
Engineering SciencesComputer Science
Policy Optimization with Learning and Planning in Continuous Spaces
Planning algorithms have shown impressive performance in many domains such as chess and Go. In particular, Monte Carlo ...
Engineering SciencesComputer Science
Properties of Iron-Tin Clusters
For transition metal doped clusters, the transition metal and the host element play a fundamental role in the physical ...
Natural SciencesPhysical and Theoretical Chemistry
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control
In recent years, reinforcement learning and its multi-agent analogue have achieved great success in solving various ...
Engineering SciencesComputer Science-
SecBic - A Platform for Genome Privacy Based on Homomorphically Biclustering Analysis
Massive amounts of newly generated gene expression data have been used to further enhance personalised health ...
Engineering SciencesComputer Science 
Simulation Structural Plasticity
The human brain is a large structure (billions of neurons and orders of magnitude more synapses) that is not understood ...
Engineering SciencesComputer Science
Structure Discrimination and Magnetic Properties of FeSnN with N =8–15
In the framework of the Collaborative Research Center (CRC 1487), iron is studied as a substitute for rare-earth metals ...
Natural SciencesPhysical and Theoretical Chemistry-
The Measurement-Based Quantum Eigensolver
In this project, our primary focus is to validate and benchmark the performance of a measurement-based variational ...
Natural SciencesOptics, Quantum Optics and Physics of Atoms, Molecules and PlasmasEngineering SciencesComputer Science 
Towards a Mobility Preserving Coarse-Grained Model: A Data Driven Approach
Coarse-grained molecular dynamics (MD) simulation provides a faster alternative to all-atom MD simulation, essential for ...
Natural SciencesPhysical and Theoretical Chemistry
Understanding and Exploiting an Iron Catalysed Route to New Chemical Synthons II
The project focuses on an iron catalysed method to prepare unprecedented chemical synthons, developed in the group of Dr ...
Natural SciencesPhysical and Theoretical Chemistry
Active Exploration for Robotic Manipulation
Robotic manipulation stands as a largely unsolved problem despite significant advances in robotics and machine learning ...
Engineering SciencesComputer Science
Adaptive Autonomous Assembly
Autonomous robotic assembly requires a well-orchestrated sequence of high-level actions and smooth manipulation ...
Engineering SciencesComputer Science
Combining Regenerative and Degenerative Methods in Growing Neural Networks
Neural networks are usually trained with a static architecture. However, the fields of growing and pruning, or ...
Engineering SciencesComputer Science-
Conquering Noise with Hardware Counters on HPC Systems
With increasing system performance and complexity, it is becoming increasingly crucial to examine the scaling behavior ...
Engineering SciencesComputer Science 
Cryptanalysis of SIDH Cryptosystem using Heterogeneous Hardware I
The project focuses on the cryptanalysis of the Computational Supersingular Isogeny (CSSI) problem which underlies the ...
Engineering SciencesComputer Science
