Welcome to the heart of Berlin!

From the historic Lessing Bridge the view stretches across the Spree to the building complex where the DFKI Berlin offices are located.

 

Smart Data Forum

Centre of excellence, central showroom for innovative digital technologies, and meeting place for decision-makers from business, science and politics.

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DFKI Berlin

The Berlin research site of the German Research Center for Artificial Intelligence (DFKI) is located in the heart of the German capital. The DFKI is the leading German research organization in the field of innovative software technology. It ranks among the most recognized “Centers of Excellence” in the international scientific community and is the world’s largest research center in the field of artificial intelligence and its applications with respect to number of employees and volume of external funding.

DFKI Human centric AI
DFKI Berlin

Human Centric AI

Our mission at DFKI Berlin is the development of human-centred artificial intelligence (AI).

While one of the primary objectives of established AI has been to emulate humans, our goal is to improve their lives. We skillfully apply technology to create a natural environment in which people can develop their creativity, communicate freely with each another and technologies, and access the information they need whenever they need it.

Research Topics

Currently, cognitive systems that combine machine learning approaches with knowledge-based methods dominate the AI research landscape. The DFKI began work on the development of these technologies while they were still in their infancy. Research and development at the DFKI Berlin generally encompasses the following three fields:

Smart Data Analytics

Smart Data Analytics

While Big Data is currently the more prominent term, the biggest challenges lie in the processing and analysis of the data. Our objective is to process infinite numbers of documents, taken from the internet for example, in real-time using semantic language technology.

Machine Learning and Teaching

Machine Learning and Teaching

Machine learning approaches are the driving force behind the vast majority of successful AI systems. One of the challenges is to enable machines and algorithms to draw intelligent conclusions from data. Our goal is to turn humans and machines into partners in a lifelong learning process.

Human Technology Interaction

Human Technology Interaction

The interface between man and machine (but also between machines) plays a crucial role in the field of human-centered AI. It must assess the situation correctly, establish the right timing and choose the right channel. Our objective is to empower humans to do things almost magically using situational technology.

Fields of Application

e-health & Well-being

Our health and well-being benefit from the intelligent use of data (diet, exercise, medical reports, etc.). Our work involves the entire data value chain. This includes wearable technologies, smart data technologies and e-learning applications.

Mobility & Smart City

Today, mobility includes not only the spatial dimension but also targeted access to information and communication across linguistic and cultural boundaries. We are working on a variety of different aspects of mobility in which we apply AI methods. These include, for example, creating intelligent motion profiles and presenting Twitter users and news readers with targeted and relevant tips or warnings.

Wearable Technologies

Artificial intelligence is becoming increasingly ubiquitous and moving ever closer to the human body. Technology has already become a regular wardrobe accessory in today’s society, and we are primarily interested in maintaining a balance between form and function. Intelligent wearables should be comfortable and support us invisibly.

e-health & Well-being

Our health and well-being benefit from the intelligent use of data (diet, exercise, medical reports, etc.). Our work involves the entire data value chain. This includes wearable technologies, smart data technologies and e-learning applications.

Mobility & Smart City

Today, mobility includes not only the spatial dimension but also targeted access to information and communication across linguistic and cultural boundaries. We are working on a variety of different aspects of mobility in which we apply AI methods. These include, for example, creating intelligent motion profiles and presenting Twitter users and news readers with targeted and relevant tips or warnings.

Wearable Technologies

Artificial intelligence is becoming increasingly ubiquitous and moving ever closer to the human body. Technology has already become a regular wardrobe accessory in today’s society, and we are primarily interested in maintaining a balance between form and function. Intelligent wearables should be comfortable and support us invisibly.

Research Teams

The DFKI Berlin is home to various research areas and groups described briefly below. Whenever possible, we work in interdisciplinary teams created specifically for specific projects.

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Language Technology

The Berlin Language Technology Lab conducts research in various aspects of language technology such as text analytics, question answering, translation technology, and digital curation and content processing. The work is based on many years of experience and expertise in algorithms for speech processing, language structure, methods of machine learning and knowledge technologies.

Director: Prof. Dr. Hans Uszkoreit

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Intelligent Analytics for Massive Data

Our team conducts advanced research in methods and technologies in the areas of scalable data management systems and tools, data mining, and open data/information marketplaces.

Director: Prof. Dr. Volker Markl

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Intelligent User Interfaces

The Intelligent User Interfaces department develops the basics for multi-modal human-computer interaction, with a focus on mobile interaction, inclusion of all population groups, and interaction with systems for Industry 4.0. We use web standards to explore innovative interaction systems for multiple input and output modalities. Projects of EIT Digital analyze data from Industrie 4.0 systems, process it semantically and realize user-centered interaction solutions.

Director: Prof. Dr. Dr. h.c. mult. Wolfgang Wahlster

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Interactive Texties

In the field of electronic textiles and Wearable Technology, Interactive Textiles is at the forefront of concept development for practical application. Through our research we design and analyse wearable interfaces, utilising a diverse range of textile materials and production techniques. Our participatory design methods include the users in all stages of design, with the aim to improve usability, and design socially sustainable Human-Computer-Interaction applications for a diverse group of users.

Director: Prof. Dr. Gesche Joost

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Educational Technology Lab

The focus of the Educational Technology Lab (EdTec) is the use of innovative software technologies to support the educational and qualification processes of (pre-)school, academic and professional basic, advanced and further training. Of particular interest is the interaction between educational, organisational and technological development in an increasingly networked and digital world.

Director: Prof. Dr. Christoph Igel

Also the research areas Smart Data & Knowledge Services and Robotics Innovation Center (RIC) appaer at DFKI Berlin.

Supporting

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Berlin Spin-Offs

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