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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AkEvAp

AkEvAp

The AkEvAp project aims to develop an automated evaluation method based on real-time camera data to improve ergonomics at workplaces in logistics.
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DaFne

DaFne

The DaFne project aims to improve the usability of data generation methods for AI researchers and developers by developing an innovative, flexible data generation platform.
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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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KI Mittelstand

KI-Trainer

The AI trainers of the Mittelstand 4.0 competence centres educate people about the topic of artificial intelligence with workshops, company visits, lectures, roadshows and many other offers.
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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).
Leibniz AI Lab Logo

LeibnizKILabor

The International Future Lab for AI spends three years researching new topics in AI and developing intelligent solutions for personalised medicine.
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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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NoBIAS

NoBIAS

The core objective of NoBIAS is to research and develop novel methods for data-driven decision-making without bias.
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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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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.