Artificial intelligence at the Ada Lovelace Center

At the ADA Lovelace Center for Analytics, Data and Applications, we deal with issues relating to artificial intelligence (AI): What progress has been made in AI research? What opportunities do specific applications of AI present? How can AI methods be further developed? As a cooperation platform for research and industry, the ADA Lovelace Center offers an innovative combination of AI research and AI applications.


Artificial intelligence is a key factor in the digital transformation of industry and society. Accordingly, it is vital that the latest research findings be translated into applications as quickly as possible. It was with this in mind that we teamed up with Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and Ludwig-Maximilian-Universität München (LMU) to launch the ADA Lovelace Center, which also benefits from the involvement of the Fraunhofer Institutes for Cognitive Sys- tems IKS and Integrated Systems and Device Technology IISB. It offers a unique way of interlinking research into AI with its industrial applications. »The ADA Lovelace Center will play a key role in ensuring that Germany remains ahead of the international competition as a hub for technological innovation,« says Professor Reimund Neugebauer, President of the Fraunhofer-Gesellschaft.

Analytics: focusing on nine AI methods

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At the ADA Lovelace Center, we conduct research into nine different areas of expertise in AI, as well as incorporating a wide range of scientific partners at the national and international level. The methods range from semantic data models and learning using small annotated datasets (few labels learning) to techniques such as automatic and explainable learning, machine learning, and mathematical optimization. The latter is particularly useful for finding answers to previously unsolvable problems in industry and leveraging efficiency potentials.

Data: resource-efficient handling of data

At the ADA Lovelace Center, we place particular emphasis on research throughout the data life cycle, which is analogous to the life cycle of products. In the context of AI, the objective is not to collect as much indiscriminate data as possible, but rather to collect the right data and on an appropriate scale. This raises questions such as: How should data be stored, structured, and transmitted? What added value can be derived from data? What happens to data that can’t be used to generate insights? Indeed, with the storage of large volumes of data already leading to considerable CO2 emissions, resource-efficient handling will be essential in the future.


»We must see data as a raw material and handle it accordingly – in a resource-saving and sustainable manner.«

Professor Alexander Martin, head of the ADA Lovelace Center


Applications: a wide range of uses

At the ADA Lovelace Center, we focus on applications in production, mobility, logistics, sports, and healthcare. In the context of logistics, for example, we develop AI methods that use publicly available sources of data (for example, infrastructure, market trends, purchasing power, demographic trends, and weather) to generate added value for logistics network planning and related business decisions. In sports such as soccer or hockey, we aim to automate game analysis with the help of a search engine. This would use positioning data to compare game situations with similar situations in the past with a view to evaluating their execution.

Innovative forms of networking and collaboration

The ADA Lovelace Center is a scientific network that brings together local, regional, and national actors as well as engaging in strategic collaborations with international partners such as the Machine Learning Center at the Georgia Institute of Technology or the RIKEN Center for Ad- vanced Intelligence in Tokyo. In this way, we hope to raise our international visibility and boost interest in the ADA Lovelace Center among researchers and students in Germany and abroad.

With a view to developing profitable and practical applications of AI, we also encourage a process of exchange between industry and research. Scientists and employees from companies work together in Joint Labs on specific problems from research and industry in small, agile, and interdisciplinary development teams outside of their day-to-day business for a fixed period of time. These innovative forms of collaboration benefit from the new CoWiS coworking space at our location in Nuremberg, which offers a creativity-enhancing »Work 4.0« environment. »The ADA Lovelace Center sees itself as a multiplier for building up, reinforcing, or further developing a company’s AI expertise,« says Alexander Martin.

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