One of the main research topics of the L3S in the field of artificial intelligence is Machine Learning and Deep Learning.

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Green AutoML for Driver Assistance Systems

Green AutoML for Driver Assistance Systems

The aim of the GreenAutoML4FAS project is to design a holistic, carbon-efficient system for driver assistance systems
GLACIATION

GLACIATION

GLACIATION aims to reduce carbon emissions by developing a distributed knowledge graph that improves the efficiency of big data analysis.
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ixAutoML

ixAutoML

Making automatic machine learning systems more human-centered by enabling interactivity and explainability.
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Leibniz AI Academy

Leibniz AI Academy

Development and establishment of a transcurricular, cross-disciplinary micro-degree program "Leibniz AI Academy" at Leibniz Universität Hannover (LUH).
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Multi-armed bandits for the recommender system for returns reduction

Multi-armed bandits for the recommender system for returns reduction

Development of a contextualized MAB (multi-armed-bandit) to exploit the potential of the recommender system by means of reinforcement learning by means of reinforcement learning.
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Online Optimierung

Online Optimierung

The goal of the project is to develop and investigate online convex optimization (OCO)-based control schemes for general cost functions and constraints without relying on restrictive assumptions.
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PlanOS

PlanOS

The PlanOs project aims to develop large-area sensor networks in thin polymer films for strain and shape measurement with high efficiency, low cost and high resolution.
ProKI-Hannover

ProKI-Hannover

A Germany-wide demonstration and transfer network for the use of artificial intelligence (AI) in production.
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ROMEO

ROMEO

The ROMEO project aims to improve multimodal (kinesthetic and tactile) information integration for robot-mediated remote manipulation.
Robotics Lab

Robotics Lab

The L3S’s Robot Learning Lab works on foundational research to develop increasingly autonomous assistive systems.
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Logo of Swiftt Project

SWIFTT

SWIFTT will provide forest managers with affordable, simple and effective remote sensing tools backed up by powerful machine learning models. It will offer a holistic health monitoring service to detect and map various risks for forests and their managers
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Towards a Framework for Assessing Explanation Quality (TRR 318 INF)

Towards a Framework for Assessing Explanation Quality (TRR 318 INF)

In this project, we study the pragmatic goal of all explaining processes: to be successful — that is, for the explanation to achieve the intended form of understanding.
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WindGISKI

WindGISKI

Development and Evaluation of an AI-based GIS for the designation of potential areas for wind turbines.