Binaire is the L3S research magazine on digital transformation. We report on exciting research projects and results, announce events and research activities, and introduce the people behind them: our researchers. The magazine is aimed at everyone interested in the research on AI, digitalization, and robotics.
2/2024: Excellence in AI research
What characterises excellent AI research? The current issue of the L3S magazine Binaire addresses this question and presents some exemplary publications from the L3S research groups that have been published at the most prestigious conferences and in leading journals – an impressive testimony to the scientific excellence of our researchers.
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2024
Issue 02 – Excellence in AI-Research
Research at L3S
L3S research focuses on addressing societal and technological challenges through innovative, impactful, and methodologically rigorous scientific exploration.
Hybrid Systems Reveal Biases In Learning Models
A hybrid AI system integrates symbolic and subsymbolic methods to document biases in machine learning models, enhancing fairness and transparency.
Equal Opportunities In Federated Learning
FairTrade optimises Federated Learning by balancing accuracy and fairness, addressing biases in decentralized data while ensuring privacy and reliability
Learning With Structure
Structural information boosts deep reinforcement learning performance, scalability, and adaptability.
Polite with AI
AI uses reinforcement learning to turn toxic arguments into respectful, constructive statements.
Digital Epidemic Control
AI models summarize epidemic-related tweets with interpretable insights for better decision-making.
Efficient Analysis of Patient Data
The IVP-VAE model transforms electronic health record analysis by addressing irregular time series with continuous modeling.
How GPT-4 Fails in Medical Tests – and Yet Still Convinces
GPT-4 excels in medical exams but produces plausible errors, challenging its reliability for diagnostics.
Smarter Traffic Management
LaMMOn AI enhances traffic management with scalable, automated multi-camera tracking using language and graph-based techniques.
Issue 01 – Artificial Intelligence, Energy, and Resource Conservation
AI, energy and resource conservation: opportunities and challenges
How energy-efficient are AI systems? And what role do they play in times of climate change?
Innovative and efficient
Towards a more sustainable energy future with AI-based driver assistance systems.
Slimming down neural networks
Researchers are looking into the question of how AI models can be used in an energy-efficient way for autonomous driving.
AI ecosystem for autonomous driving
Arriving safely: Research aims to meet Germany's high standards for AI models for autonomous driving.
Out of the cloud
Optimized data movement between edge and cloud reduces energy consumption for data processing.
Satellites as saviours of the forests
SWIFFT is a satellite-based early warning system for threats to forests, such as fires or pests.
Efficient logistics in any weather
Offshore wind farms produce energy for thousands of homes. AI models enable efficient logistics during construction.
2023
Issue 03 – Society and Media
Disinformation: Opportunities and Dangers of Artificial Intelligence
Disinformation and deep fakes can often only be identified with great effort, even by experts and fact-checking organisations such as Snopes or PolitiFact.
How AI Can Promote Awareness of the Climate Crisis
What impact does social media have on the perception of scientific topics such as climate change? And thus, on social discourse?
Understanding Narratives of Disinformation
Trust in the news continues to decline. One of the reasons is false or misleading information in social media, which spreads quickly through viral mechanisms.
Combating Disinformation with Art and Data
What ideas do start-ups and artists have for tackling disinformation with the vast amount of data available?
Why Participation Should Not Be Reserved for Pilot Projects
In many IT projects, it is now standard practice to involve future users in the IT design. The earlier, the better.
Issue 02 – Generative Artificial Intelligence
ChatGPT: Technological Breakthrough, Social Upheaval?
Artificial intelligence (AI) has arrived in the centre of society, certainly since ChatGPT appeared on the scene at the end of last year.
Strengthen research, maintain digital sovereignty
Generative AI - saviour or demon? The answer must be more differentiated. The quality and trustworthiness of the result are influenced by many factors.
Research Comparisons with ChatGPT
In the Joint Lab of L3S and TIB, Dr. Jennifer D'Souza and her team work on the development and use of LLMs in the Open Research Knowledge Graph (ORKG) project.
Risky Communication
ChatGPT in customer service: For companies, chatbots on websites have become a convenient and efficient way to automate contact with customers.
Feedback from the Language Model
ChatGPT is based on a so-called language model that has learned which words are best to say or write in a given context based on billions of texts.
Ask your Doctor and Chatbot
The healthcare system is on the verge of a radical change due to AI. Diseases such as cancer can be diagnosed much faster and be treated much more effectively.
Issue 01 – Personalized Medicine
Big Data against noroviruses
PRESENt aims to contribute to norovirus infection control. By using machine learning approaches to predict severe infections, the researchers hope to develop personalised prevention and care.
Fighting Bacteria with Data
Researchers from L3S and the Hannover Medical School are working on the BacData project, which aims to prevent implant infections by analysing biofilms using deep learning methods.
Personalised care for hearing impaired people
Research project at the L3S. Aims to use big data and artificial intelligence to predict the success of cochlear implant surgery, personalise patient care and improve treatment effectiveness.
Five questions for four doctoral students: Seham Nasr
Interview with Seham Nasr, a PhD student at the Leibniz AI Lab. She talks about her motivation and her research on explainable AI for clinical data in paediatric intensive care.
Five questions for four doctoral students: Soumyadeep Roy
Interview with Soumyadeep Roy, a PhD student at the Leibniz AI Lab. He talks about his motivation and his research interests in natural language processing and machine learning in healthcare.
Five questions for four doctoral students: Johanna Schrader
Interview with Johanna Schrader, a PhD student at the L3S. She discusses her current project using AI in the biomedical field to predict the outcome of cochlear implant surgery.
Five questions for four doctoral students: Jonas Wallat
Interview with Jonas Wallat, a PhD student at the Leibniz AI Lab. He talks about his research on NLP and genetic sequences, working in an international team, and his motivation for doing a PhD.
A conversation with visiting professors
Interviews with visiting professors at the Leibniz AI Lab, where they talk about their exciting research on topics such as deep learning, knowledge graphs and predictive modelling.
Helping doctors make decisions
An AI-supported decision-making aid is being developed by Leibniz AI Lab to improve decision-making in the paediatric intensive care unit (PICU).
Fighting the pandemic with data analysis
Data analysis is helping fight COVID-19. Hannover Medical School and Leibniz AI Lab are decoding patient DNA to better understand the disease.
More than just a tremor
Researchers at the Leibniz AI Lab are integrating clinical and genetic data of patients with Parkinson's disease to identify potential markers for early therapeutic interventions.
Use Case Leukemia in Children
AI can be used to improve diagnosis and treatment of acute lymphatic leukaemia (ALL) in children. Dr. Bergmann and Dr. Tang lead a project at Leibniz AI Lab to identify new markers for ALL.
New chances against breast cancer
Patient data and AI are being used to find factors for successful breast cancer therapy at the Leibniz AI Lab in Germany.
Patient data and artificial intelligence
Unlocking the potential of personalized medicine with AI and patient data. Join top researchers at LEIBNIZ AI LAB in developing trustworthy solutions.
2022
Issue 01 – L3S and Partners
Four questions for Novo AI
Startups are considered drivers of innovation. In the field of AI, it is often startups from universities, like Novo AI, that use their know-how to develop new application-oriented solutions.
Perception and Reality
Ensuring the safety of its citizens is one of the essential tasks of the European Union. L3S is involved in several related projects together with partner Hensoldt Analytics.
AI for Mobility and Production
L3S collaborates with Volkswagen Commercial Vehicles in projects like CampaNeo, d-E-mand or SmashHit, where VW mostly collects data, and L3S uses those for analysis and forecasts.
From research to the digital mobility of tomorrow
Mobility solutions must do more than simply transport things or people. L3S partners with Projektionisten to tackle tasks such as modeling, collecting, and analyzing mobility data.
Optimized supply chains as a competitive advantage
The pandemic has demonstrated how important functioning supply chains are for global economy. Infineon Technologies therefore aims to continuously improve them.
Closely linked partners: L3S and TIB
Making knowledge and information freely available and preserving cultural heritage: the TIB provides science and industry with literature and information.
2021
Issue 03 – Digital Innovation Hub for AI & Cybersecurity
Fairness instead of prejudice
A number of projects at L3S aim to understand – and avoid – the legal, social and technical challenges of biases. NoBIAS also addresses this issue.
Innovation boost for SMEs
IIP-Ecosphere builds an ecosystem that demonstrates the potential of AI in manufacturing and actively promotes the exchange of requirements and experiences.
DIH partners introduce themselves: CISPA Helmholtz Centre for Information Security
CISPA is dedicated to basic research, training future cybersecurity experts in Germany for technology transfer in the fields of cybersecurity and privacy.
DIH partners Introduce themselves: Automotive Research Centre Niedersachsen
Autonomous cars and innovative sharing concepts still sound like visions of the future. To make these concepts a reality, NFF seeks out well solutions.
DIH partners introduce themselves: Mittelstand-Digital Zentrum Hannover
Germany’s first SME Digital Centre "Mittelstand-Digital Zentrum Hannover" has started its work at the Production Technology Centre of Leibniz University Hannover.
DIH partners introduce themselves: Heinz Piest Institute for Craft Technology (HPI)
A partner of the KomKI project is the Heinz Piest Institute (HPI) for Craft Technology at Leibniz University Hannover.
Joint Data Space for Science and Business
To improve the data transfer between science and business, the Federal Ministry of Education and Research is funding the FAIR Data Space project.
New Hub DAISEC to promote Digitalisation
DAISEChelps to ensure that Lower Saxony companies have a low-threshold access to AI and Cybersecurity technologies and offers a variety of services.
Global cooperation on the road to personalised medicine
Excellent researchers from all over the world work in the LeibnizAILab to develop intelligent, reliable and responsible systems for personalized medicine.
Issue 02 – Digital Learning
Sharing digital education with Twillo
The OER portal Twillo offers teachers a reliable infrastructure for sharing open educational resources with colleagues.
Data-driven instruction in STEM subjects
Further research is needed on teaching formats and how they can interact to enable effective learning.
The doctoral program LernMINT aims to close this gap.
Interview with Dr. Dominik Rohrmus on further training
Interview with Dr. Dominik Rohrmus on the tasks of the Labs Network Industrie 4.0 (LNI), digital training in SMEs, and what role the pandemic plays in this.
Ensuring knowledge transfer in the pandemic
In order to be able to develop, adapt, apply and maintain AI systems, companies must therefore qualify their employees accordingly.
Quick access to expertise
The goal of the FID program: Scientists can access specialized literature and research-relevant information quickly and directly from anywhere.
Interview with Dr. Lea Lensment
Interview with Dr. Lea Lensment, teacher of chemistry and physics at the Ricarda Huch School, on the digitization of schools in the pandemic and the IServ school platform.
Science video search engine
Scientists have been working to expand the TIB AV-Portal to include a web-based platform for systematic film and video analysis.
On the way to the digital university
The digitization of universities has been talked about for many years, but little has happened. Now the pandemic has accelerated the process.
Mastering digital teaching and learning together
LernenVernetzt has used existing cooperative structures within and outside the university to solve a range of issues related to data protection and technology in an unbureaucratic manner.
Interview with Jörg Ludwig
Jörg Ludwig, managing director of the school platform provider IServ GmbH, on digital education digitizing schools, especially in times of Corona.
Digital technologies for teaching
At vocational schools and universities, electrical engineering is one of the highly abstract subjects. Comprehending the content is a challenge for many learners
Issue 01 – Startups
Complaint-free living with app
At the University of Braunschweig, the startup TIOLI has developed an app that aims to improve the lives of those affected by food intolerances in everyday life
Eight questions for André Heinke, Bitmotec GmbH
Bitmotec works on an easy access to industry-ready AI solutions to generate acceptance of AI in manufacturing companies. L3S interviewed Bitmotec founder André Heinke.
Process automation in minutes
Help companies save costs: L3S-spin-off beh.digital has developed a learning camera that can automate industrial processes and quality control quickly and easily.
Intelligent Production: Solutions to the Data Shortage
NovoAI aims to make it easier for small and medium-sized enterprises in particular to enter the digital transformation with databases for intelligent machines.
2020
Issue 03 – Safety, Data Protection, Ethics
AI for a just, peaceful and inclusive EU
The EU hopes to be able to identify and prevent developing risks earlier and manage them better. The L3S contributes with the EU projects MIRROR and ROXANNE.
Legal implications of smart production
IIP-Ecosphere works to facilitate the use of AI in manufacturing. L3S scientists from the Institute of Legal Informatics are helping to overcome the legal hurdles.
New cooperation on cybersecurity research
Since its founda, CISPA has become one of the world’s leading research institutions for information security and data protection.
Participatory technology development for care 4.0
OPAL is promoting the participatory introduction of innovative sensor technology on a model basis in order to improve the situation of residents and caregivers in nursing homes.
Armed for the major attack?
Digital society faces a major challenge: cybersecurity. Many of today’s attacks come from powerful attackers. CASA aims to enable sustainable countermeasures.
Ethical and legal standards for artificial intelligence
How can standards for unbiased attitudes and non-discriminatory practices be upheld in big data analysis and algorithm-based decision making?
Issue 02 – Innovations, Crises, Startups
Corona: Collecting data for predictive models
SoBigData has launched numerous activities to collect and analyse recently published data on the epidemic – including news, tweets and publicly available data sets.
Corona: Analysing Twitter data
Public discourse on Twitter has reflected the perception and social impact of the pandemic. Stefan Dietze and his team are making this data available for interdisciplinary research.
Corona: Automated genome analyses for SARS-Cov2
A research team aims to support biologists in interpreting the increasing information on SARS-Cov-2 with a database language for genomic data: the GMQL.
Corona: Everything in view with the ORKG
The Joint Lab of L3S and TIB want to use the Open Research Knowledge Graph (ORKG) to make the organisation of scientific knowledge more efficient.
Corona: Online storytelling
One of the latest developments in YELL/TELL is the SIG, which focuses on the importance of storytelling for an early approach to English as a foreign language.
Corona: The MHH’s package of measures
The Ministry of Science and Culture of Lower Saxony is providing the MHH with 8 million euros for research into and the fight against SARS-CoV-2 and COVID-19.
Corona: Fast, reliable and efficient testing
In order to further contain the virus, researchers from Hanover want to establish an efficient and cost-effective test system: mobile corona analysis (MCA).
Corona: Help with distance learning
The project #LernenVernetzt of the Leibniz School of Education brings together teachers and students for the purpose of online learning.
Getting innovations flowing
Volkswagen Commercial Vehicles has set itself the goal of becoming the best transport provider in the world – also thanks to so-called Mobile Online Services.
AI for cruisers
An L3S team and Hanoverian startup Cruisewatch will follow the tracks of customers who book their cruise online, using the mechanisms of AI-controlled systems.
Post-quantum cryptography for e-mail
The NBank supports the cooperation project “PQmail – Development of a Post-Quantum Encryption for Secure E-Mail Communication” with funds from the EU.
Opportunities for innovative business ideas in Lower Saxony
The start-up grant from the Lower Saxony Ministry of Economics provides start-up teams with the finances to realise their idea of self-employment for 8 months.
Issue 01 – Artificial Intelligence
ETN CLEOPATRA: The highlights of our last twelve months
The PhD students of the ETN CLEOPATRA aim to significantly facilitate the cross-lingual processing of textual and visual information on important current events
Man vs. machine: Where was the photo taken?
In Geolocation Estimation, man and machine compete against each other and estimate where the photo was taken. In most cases, the computer wins – thanks to AI.
Organizing the World’s Scientific Knowledge
The Open Research Knowledge Graph, where ideas, approaches, methods are represented in machine-readable form. The beta version of the ORKG is already online .
AI Hardware Acceleration
The AI qualification project HAISEM-Lab will offer one- or two-day courses especially for employees of small and medium-sized enterprises from 2020.
Future Lab: Artificial intelligence – globally connected
The research of the Future Laboratory located at L3S focuses on new approaches and algorithms for intelligent, reliable and responsible systems.
Responsible algorithms for intelligent mobility
In the CampaNeo project the partners are developing an open platform that companiescan use for the collection and analysis of vehicle data in real time.
Automatic damage detection
Together with the Startup ClaimBuddy Prof. Rosenhahn and Schubert are working on a funding project to meet the requirements for automated claims recognition.
Machine learning workflows made easy
In the project Simple-ML the L3S with partners are working to make ML processes more easily accessible for a broad user group.
2019
Issue 03 – Intelligent Manufacturing
Secure data exchange
Since 2016, the non-profit IDSA has been developing a reference architecture for a secure data space with its members from business and science.
AI qualification: Fit for the future
Since 2018, the L3S has been remedying the situation with the AI qualification program AMA, a joint project with the IFW of Leibniz University of Hannover.
Boost4.0 – Big Data for Factories
The BOOST 4.0 project is building a EU Industrial Data Space to make production data interoperable and thus improve the competitiveness of EU industry.
Europe’s data marketplace
TRUSTS builds on the platforms International Data Spaces and Data Market Austria and extends them with new functionalities and services.
Issue 02 – Big Data in Medicine
This is how AI gets into companies
The goal of IIP-Ecosphere: higher productivity, flexibility, robustness and efficiency – and thus maintaining the competitiveness of German industry.
Streaming for genome research
Reason enough for the Moving Picture Experts Group (MPEG) to work on a new standard for the compression, storage and transmission of sequencing data: MPEG-G.
Big Data against the Norovirus
PRESENT researchers evaluate patient records and use big data analysis to uncover critical factors for the development of complications from norovirus infection
Case management systems: Tool or already actor?
At the interface of sociology, science, technology and computer science members learn how complex digital infrastructures shape daily work in organisations.
Better understanding and treatment of autoimmune diseases
HarmonicSS merges and harmonizes the already existing data of well characterized cohorts of pSS patients into an integrative cohort structure.
Big data for better hearing
Scientists at the Hannover Medical School (MHH) and the L3S are now hoping to find out why this is the case using current methods of artificial intelligence.
Language assistants for hospitals
A voice-controlled dialogue system that does not distract from the actual task would therefore be better than a classic computer workstation.
On the way to individual therapy
In the projects iASiS and BigMedilytics, scientists are working together to gain knowledge for precision medicine from data and to improve health care in EU.
Understanding biofilms, preventing infections
In the BacData project, scientists work together to understand the biology and dynamics of clinically relevant biofilms to decipher their resistance mechanisms.
Issue 01 – Mobility of Tomorrow
Shaping mobility
As one of three Alliance research lines, MOBILISE deals with different aspects of mobility: from aviation to vehicles to digitization.
Indoor Navigation
In the topikos project, scientists are researching methods to enable users to be located within buildings and the mobility of many people to be visualised.
Hardware platforms for driver assistance systems
Convolutional Neural Networks algorithms from the field of artificial intelligence even achieve better recognition rates than humans for certain tasks.
Autonomous driving under adverse conditions
In the ifuse project Prof. Dr. Blume and his team are researching data structures, algorithms and architectures for an efficient fusion of raw sensor data.
Insight into data analysis
In the research project Data4UrbanMobility L3S scientists and project partners are developing tools that provide an event-based overview of mobility information
2018
Issue 03 – Digital Education
SlideWiki – Create and share presentations online
The SlideWiki project offers an online platform that combines the knowledge creativity and productivity of its users to create high-quality educational content.
Tailor-made information supply
One step in this direction is the FID, which replaces the special collections of university libraries, one of the oldest funding programmes of the DFG (2011).
Inclusion on the Internet
The goal of the Inclusive Open Course Ware (InclusiveOCW) project is that blind and visually impaired people can also use SlideWiki.
Humanities digital
The DESIR project aims to improve the exchange of knowledge in digital humanities, establish expert groups and support them with a sustainable infrastructure.
Learning together on the Web
In the project LearnWeb scientists of the L3S have developed a new collaborative learning environment with extended search and social media functions.
How can the web help with learning?
The research projects AFEL and SALIENT want to solve this problem – with a data-driven approach and innovative methods of artificial intelligence.
Issue 02 – Machine Learning
Machine Learning and Social Media
In OSCAR, we develop opinion stream mining methods that deal with change and adapt sentiment models continuously to adapt to the underlying evolving population.
Data protection, transparency and responsibility
Algorithms can successfully recognize patterns on the basis of large amounts of data and thus expand their “knowledge”.
Just don’t lose your bearings
Vanishing points can be used to extract information from images necessary for complex applications such as autonomous vehicle control.
Interpreting Search Engine Rankings
Today algorithmic decision making is prevalent in several fields including medicine, automobiles and retail.
Big Data and the Lost Web
As the web becomes more the primary medium for sharing information and data, the importance of web archives will continue to increase.
Issue 01 – Innovation through Research
New manufacturing process for high-performance chips
The European THINGS2DO project aims to promote and develop FD-SOI semiconductor technology to produce energy-efficient, highly integrated circuits.
How autonomous vehicles learn from us
In the “Urban Mobility Assist” project we address the question of whether typical tactics for the same strategy can be determined with accuracy from a big data.
Bright minds for artificial intelligence
The L3S is establishing an Applied Machine Learning Academy (AMA) – with a special focus on the use of machine learning in intelligent production.
More traffic – less collapse
Data4UrbanMobility develops software solutions for efficient planning, development, implementation and use of innovative mobility services.
Easier handling of diabetes
The GlycoRec system co-developed at L3S helps diabetes patients in their daily management of their disease.
Navigating with a 360°-Camera
In the BLINKER project, scientists are working in cooperation with a medium-sized company on a sensor for autonomous navigation for vehicles.
