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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Conditional Coding for Learned Image and Video Compression

Conditional Coding for Learned Image and Video Compression

This project deals with learning-based video coding using a meta-learning-based procedure for regularization and dynamic adaptation of the decoder.
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FedCov

FedCov

Prediction of long-/post-COVID by artificial intelligence using a federated learning approach on German cohort data.
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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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Hooray

Hooray

Investigating the potential of head-mounted MEMS microphone arrays and deep learning for dynamic sound source localization
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ixAutoML

ixAutoML

Making automatic machine learning systems more human-centered by enabling interactivity and explainability.
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LUMEN

LUMEN

The LUMEN project is a pioneering initiative to transform cross-domain collaboration and discovery in Mathematics (Maths), Social Sciences and Humanities (SSH), Earth System (ES), and Molecular Dynamics (MD).
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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MoToRes

MoToRes

Route recommendations for individual user needs, regional specifics and optimal utilisation of transport and attractions.
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Opt4DAC

Opt4DAC

Opt4DAC aims for informed, on-the-fly selection of black-box optimizers, targeting different problem instances and stages of the optimization problem.
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.
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RECITALS

RECITALS

RECITALS- an open-source platform for privacy-preserving data sharing and identity management using cryptography, federated learning, and AI.
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.