EDS AI ClubWOLFSBURG
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Four research areas.

Four active threads of main research areas and numerous other experiments.

R-001
Spiking Neural Networks
Energy-efficient neurobiology inspired neural nets
R-002
Probabilistic Super-Resolution
Satellite super-resolution with calibrated uncertainty
R-003
Autonomous Cars & CV
Object detection, simulations, robotics, and path finding.
A-001
Industrial & Enterprise
RAG Systems and AI agents for useful automations.

Main focus.

Neuromorphic experiment

Spiking Neural Networks

R-001

Neuromorphic AI research. Training SNNs, simulating neurons, replicating neurobiological mechanisms technically.

Surrogate Gradients LIF STDP Forward-Forward snnTorch
LEAD
M. Leupold
STATUS
Paper draft · v2
UPDATED
06 MAY 2026
PSRGAN

Probabilistic Super-Resolution GAN

R-002

4x upscaling for Sentinel-2 satellite image tiles with per-pixel uncertainty estimates for geoanalytics.

Bayesian Neural Networks Sentinel-2 GANs Remote Sensing
LEAD
M. Leupold
STATUS
Paper draft · v4
UPDATED
10 MAY 2026
autonomous car simulation

Autonomous Cars & Computer Vision

R-003

Building autonomous car simulations, object detection models, self driving robots, and path finding algortithms.

Convolutional Neural Networks ROS2 YOLOv8 RaspberryPi
LEAD
M. Leupold
STATUS
Active
UPDATED
23 APR 2026
CAD RAG

Industrial and Enterprise Applications

A-001

Automations for industrial processes and enterprises. Mainly RAG-Systems and AI agents.

Agents RAG FAISS LangChain LangGraph
LEAD
M. Leupold
STATUS
Active
UPDATED
2 MAY 2026