Here you can find an overview of all our currently active L3S projects. Many of our projects are also classified under our research focus areas of Text Mining and Search, Knowledge Graphs and Data Integration, Natural Language Processing, Scene and Video Analysis, and Machine and Deep Learning. They can also be sorted by our focus areas of Manufacturing, Medicine, Science, Security, and Society. See the Project Archive for a list of completed L3S projects.
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ATTENTION!
Text Mining and Search | Business & Society
Artificial intelligence for the detection of trade-related money laundering
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Green AutoML for Driver Assistance Systems
Machine Learning and Deep Learning | Energy & Sustainability
The aim of the GreenAutoML4FAS project is to design a holistic, carbon-efficient system for driver assistance systems
GLACIATION
Machine Learning and Deep Learning | Energy & Sustainability
GLACIATION aims to reduce carbon emissions by developing a distributed knowledge graph that improves the efficiency of big data analysis.
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KI-Trainer
Machine Learning and Deep Learning | Business & Society, Energy & Sustainability, Production
The AI trainers of the Mittelstand 4.0 competence centres educates people about the topic of artificial intelligence with workshops, company visits, lectures, roadshows and many other offers.
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Leibniz AI Academy
Machine and Deep Learning, Natural Language Processing and Scene and Video Analysis | Education
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
Learning and Deep Learning | Energy & Sustainability
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.
Metaphor as an Explanation Tool (TRR 318 C04)
Natural Language Processing, Knowledge Graphs and Data Integration | Business & Society
The project study with the help of natural language processing how metaphors function and are used within explanations, in order to contribute to the future of explainable AI systems.
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NFDI4 Data Science
Knowledge Graphs and Data Integration | Science
NFDI4 Data Science aims to establish a national research data infrastructure in Germany to support all stages of the interdisciplinary research data lifecycle for Data Science and Artificial Intelligence.
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OffshorePlan2
| Energy & Sustainability
Complementary using mathematical and event based discrete models for handling complex offshore wind farm installation strategies.
Open Research Knowledge Graph (ORKG)
Knowledge Graphs and Data Integration
ORKG empowers researchers by making knowledge accessible. Discover relevant contributions, explore cutting-edge research, and foster interdisciplinary collaboration.
OER with Ukraine_Informatics
Education
This project aims to expand the digital teaching offers of the Ukrainian partner universities of the LUH. Teaching and learning videos from various fields of computer science are produced and integrated into the ongoing teaching activities of the partner universities.
Online Optimierung
Machine Learning and Deep Learning | Science
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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ProKI-Hannover
Machine Learning and Deep Learning | Production
A Germany-wide demonstration and transfer network for the use of artificial intelligence (AI) in production.
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Robotics Lab
Machine Learning and Deep Learning | Production, Science
The L3S’s Robot Learning Lab works on foundational research to develop increasingly autonomous assistive systems.
Reflect AI
Science
The project aims to develop hybrid artificial intelligence models that use art-historical expertise and knowledge graphs to improve image similarity assessments in art history.
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SoBigData RI PPP
Text Mining and Search
The SoBigData RI Preparation Phase Project (PPP) is the preparatory phase of the SoBigData RI in the ESFRI RoadMap 2021.
SWIFTT
Machine Learning and Deep Learning | Energy & Sustainability
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
SMINT@Hannover
Business & Society
The high-tech incubator SMINT supports young talents at universities and research institutions in transforming business ideas into promising business models.
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Towards a Framework for Assessing Explanation Quality (TRR 318 INF)
Natural Language Processing, Machine Learning and Deep Learning | Business & Society
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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ZUSE-KI-mobil
Mobility
The ZUSE-KI-mobil project aime to develop an AI accelerator with a flexible, expandable and scalable system-on-chip (SoC) architecture.