03 L A I R O T I D E I K F D 1 2 0 2 / 2 S W E N I K F D AI IN MEDICINE, INDUSTRIAL AI FOR SMES, AI IN CONTINUING EDUCATION PROGRAMS AI in medicine covers the many methods used in a wide range of applications – diagnosis, individu- al prevention, rehabilitation, but also for emergency management and for monitoring and predicting the spread of infectious disease. Smart systems are able to predict the probability of certain muscle activity based on an analysis of bio signals. Such probability models are used, for example, to protect patients from the risks of over-exer- cising (p. 7). Biomedical signal processing methods are used in hand gesture recognition, prosthetic hand control, and in support of rehab applications (p. 8). AI-based image processing algorithms help physicians detect changes in anatomical structures, for example, to more precisely determine the type of tumor tissue and monitor any changes over time (p. 9). AI in emergency management merges re- levant data from various sources that previously operated in isolation. More efficient coordination of rescue operations means faster response times (p.10). DFKI has already studied the spread of ﬂu out- breaks using participatory concepts at the European level. Coneno is a spin-off company that is im- plementing the study ﬁndings in a participatory ”citizen science platform” now being used in Belgium and The Netherlands (p. 15). In the area of industrial AI, DFKI continues to drive the integration of INDUSTRIE 4.0 and is contributing to the next generation of mobile communications as coordinator of the Open6GHub project, which is developing and implementing the smart communication network (p. 33). 6G will be the infrastructure for future high-security, mobile AI applications in the area of industrial production. DFKI offers initial guidance on AI for small and medium-sized companies at the Regional Future Center for AI and Di- gital Transformation Saarland and Rhineland-Palatinate – RZzKI (p. 34). DFKI is a place where a diverse and multinational team is shaping the future. Working with the Women in AI & Robotics Association, DFKI aims to speciﬁcally promote women inside and outside of the company and be seen as an attractive employer for new talent, offering career opportunities in research and business for entry-level scientists. (p. 20). DFKI and the Stifterverband support the idea of AI for all with their AI-Campus education initiative. The aim of the open-licensed, free learning program is to educate on the promises and limitations of artiﬁcial intelligence and how it works as well as to invite participation in informed discussions on these topics (p. 16). Prof. Dr. Antonio Krüger Helmut Ditzer Prof. Dr. Prof. h.c. Andreas Dengel Prof. Dr. Prof. h.c. Andreas Dengel Prof. Dr. Dr. h.c. Frank Kirchner Prof. Dr. Philipp Slusallek
FOUR NEW DFKI COURSES AT AI CAMPUS 17 I K F D 1 2 0 2 / 2 S W E N I K F D The AI Campus is for all those interested in artiﬁcial intelligence, students, professionals, and other lifelong learners will ﬁnd open, no-fee licenses for learning opportunities at the AI Campus. Courses are based on the curriculum and compe- tence levels as developed by DFKI in cooperation with the Stifterverband. This basic framework ensures that the learning opportunities meet the demand-oriented curriculum and feature high-quality technical content. Four new learning opportunities, speciﬁcally designed by DFKI for the AI Campus, are now available online: Foundations of Artiﬁcial Intelligence (I) Human-Machine Interaction An English language course (with German subtitles) covers the important basics of AI. Participants learn about the most impor- tant concepts and methods used in the are- as of intelligent agents and search strategies. The course introduces selected technologies and explains their theoretical and practical ap- plication using numerous examples. This online course teaches the basics of human- machine-interaction from various professional per- spectives. The course is intended for computer science students as well as for all interested parties that have acquired basic software engineering skills. Learning objectives are to understand, evaluate, and develop user interfaces. No course prerequisites are required. Natural Language Processing AI and Leadership NLP is an area of AI that helps computers to interpret and manipulate human language. A combination of methods from linguis- tics and information technology is used to study the rules and structure of language. The course is taught in English and uses statis- tical models as well as models based on Deep Learning to provide a foundation of basic the- ory and practical examples in the ﬁeld of lan- guage processing. Equipped with this knowledge, students learn how to select eective techniques, strategies, and tools for solving typical problems and pro- cess text data, such as classifying, translating, and automatically summarizing a text. The use of digital media and AI sys- tems is changing the world of human resource management and how teams are managed. This course discusses the relevant skills required for digi- tal collaboration and managing the new technologies in a targeted way. The teaching team presents concepts, AI tools, and dialog formats while ex- plaining how students can tailor them for their own purposes. The detailed knowledge obtained from this course helps the learner to suc- cessfully meet the emerging leadership challenges of the new AI environment. Contact Dr. Kinga Schumacher Research Department Cognitive Assistants email@example.com +49 30 23895 1819 More information https://ki-campus.org Prof. Dr. Niels Pinkwart Dr. Sylke Piéch Dr. Sven Schmeier
19 I K F D 1 2 0 2 / 2 S W E N I K F D PROJEKT XAINES ZUR JAPAN HONORS PROF. ANDREAS DENGEL ERKLÄRBARKEIT VON KI GESTARTET SERVICES IN ARTIFICIAL INTELLIGENCE Since 2017, Andreas Dengel has served as Chairperson of the Flexible Factory Partner Alliance (FFPA), a nonproﬁt inter- national organization founded in Japan that promotes the standardization of control technology for wireless techno- logies in manufacturing. He was honored by the Japanese Ministry of the Interior (MIC) in 2019. He has also used his involvement in Japan to promote the internationalization of the computer science program at TU Kaiserslautern. The Japanese government has announced that Professor Dr. Andreas Dengel will be awarded the high-ranking “Order of the Rising Sun, Gold Rays with Neck Ribbon” in the name of His Majesty Emperor Naruhito. With Japan’s oldest award, the country recognizes Dengel’s outstanding services to acade- mic exchange between Japan and Germany in the ﬁeld of artiﬁcial intelligence and promoting mutual understanding between the two countries. Andreas Dengel is Executive Di- rector as well as head of the Research Department Smart Data & Knowledge Services at DFKI in Kaiserslautern. He also heads the Chair of Artiﬁcial Intelligence at the Techni- cal University (TU) of Kaiserslautern and is AI Ambassador for the German state of Rhineland-Palatinate. In Japan, Professor Dengel is a sought-after consultant for science, industry, and politics. He has initiated numerous collaborations in artiﬁcial intelligence in research and in- dustry and has long advocated German-Japanese coope- ration in the economic development of artiﬁcial intelligen- ce. For his exceptional services in this ﬁeld, Dengel has now been honored with the “Order of the Rising Sun, Gold Rays with Neck Ribbon.” The Order of the Rising Sun has been awar- ded at various levels since 1875 and is in the form of a rising sun with rays as a symbol of the Japanese national ﬂag “hi no maru.” The rising sun is considered to have spe- cial power in Japan, so along with merit, the Order also recognizes the courage and determination of the honorees. Prof. Dr. Andreas Dengel After His Majesty Emperor Naruhito signed the certiﬁcate on November 3, 2021, the ceremonial awarding by the Consulate General in Frankfurt am Main is scheduled for spring 2022. The order is not the ﬁrst Japanese honor to be bestowed on Andreas Dengel: in 2009, Osaka Prefecture University (OPU) appointed him Honorary Professor with full teaching and examination rights. In March 2018, he was named “Distin- guished Honorary Professor” (tokubetu eiyo kyoju) there, a distinction only ﬁve researchers have received in 135 years. Earlier this year, DFKI announced the expansion of its coope- ration with OPU by establishing a DFKI Research Laboratory. “I congratulate Professor Dr. Andreas Dengel on this extraordinary award. It reﬂects the great inter- national recognition of his scientiﬁc achievements in the ﬁeld of artiﬁcial intelligence research and acknowledges his great commitment to networ- king Japanese and Rhineland-Palatinate research in the ﬁeld of AI. We made an excellent choice in appointing Prof. Dengel as one of the state’s two AI ambassadors last September.” Malu Dreyer, Minister President Rhineland-Palatinate
20 D F K I N e w s 2 / 2 0 2 1 D F K I TOGETHER FOR WOMEN IN AI DFKI ENTERS COOPERATION WITH WOMEN IN AI & ROBOTICS Innovative ideas and diversity are needed to promote and enrich good research and also, in many cases, to make it possible in the ﬁrst place. Nevertheless, women are underrepresented in AI and Robotics. The goal of the Women in AI & Robotics association is to change this and to strengthen the participation of women in these areas. DFKI supports the association’s intent and wants to work together to secure more gender equality in the future. The non-proﬁt organization Women in AI & Ro- botics Germany was founded on February 19, 2021 for the purpose of motivating, training, and promoting women who are interested in IT and technology and to signiﬁcantly increase their numbers in research and industry positions. This is a concern that is shared by DFKI: As a leading research institute for innovative software technologies creating “human-centric AI,” it has been involved for many years in projects, events, and joint ventures designed to raise young women’s interest in these special subject areas. DFKI and Women in AI & Robotics Germany want to join forces and work together for more gender equality in the professional community in the future. Antonio Krüger, CEO DFKI: “The DFKI workforce includes people from more than 60 nations and represents inter- nationality and diversity, which for us are the corner- stones of outstanding research. People are the focus in our research as well as our daily work, regardless of na- tionality, faith, gender, or sexual orientation. Yet, we are facing a deﬁcit – like so many other institutes in our ﬁeld – especially when it comes to the acquisition of female scientists. Although a small step, I am very excited about this partnership as an important step towards achieving a more balanced gender ratio in the AI community.” Women in AI & Robotics and DFKI hosted the vir- tual event “Artiﬁcial Intelligence in Rehabilitation Robotics - DFKI Supports Careers of Women Ex- perts in Research & Innovation” to kick-o the joint activities on July 21, 2021. The event focused on the work of Prof. Dr. Elsa A. Kirchner, employed since 2008 at the Robotics Innovation Center, where she leads the “Intelligent Healthcare Systems” team. In August 2021, she was appointed Professor for “Medical Technol- ogy Systems” at the University of Duisburg-Essen. After completing her studies in biology, she earned her doctor- ate in Computer Science. Her research now successfully combines artiﬁcial intelligence with neuroscience to not only facilitate machine learning through interaction with humans, but to also make it as intuitive as possible. Dur- ing the virtual event, the scientist and her team showed how intelligent robotic systems can be used in the reha- bilitation of stroke patients and demonstrated this using an upper-body exoskeleton. Contact Swantje Schmidt Head of Corporate Communications DFKI Bremen firstname.lastname@example.org +49 421 17845 4121 “Women in AI & Robotics Germany performs very basic and important work in their efforts to democratize gender roles in the ﬁelds of AI and robotics. My hope is that in the future, there will be no need for such associations because a fair distribution of roles - regard- less of gender - based on the interests and abilities of the individual will be standard practice.” Prof. Dr. Elsa A. Kirchner, Project Leader at DFKI “Women in AI & Robotics Germany has made it easier for me to interact with other women in my research area and in business, and provides me with the chace to get involved in making female role models more visible.” Christina Cociancig, DFKI researcher and member of Women in AI & Robotics
36 D F K D F K I N B R I E F I N e w s N E W S I 2 / 2 0 2 1 f e i r b n i s w e N Professor Drechsler recognized for innovative support of Ph.D. students Dr. Stefan Stiene named to professorship at Osnabrück University The head of DFKI’s Cyber-Physical Systems department and the WG for Computer Architecture at the University of Bremen received one of the University’s ﬁrst two prizes for Outstanding Doctoral Supervision. “The focus was always on continued development through independent study and other opportunities for self- development, as well as the motivating encouragement of teaching activities and scientiﬁc networking,” said his for- mer doctoral student Dr. Kenneth Schmitz in his laudation. The award is endowed with 2,000 euros provided by the Alumni Association of the University of Bremen and intended for the support of Ph.D. candidates. Outstanding PhD supervision: Award winners (l.) Prof. Rolf Drechsler, (r.) Heiko Pleines with University Prefect Jutta Günther. Photo: Philipp Batelka / University of Bremen The deputy department head of Plan-Based Robot Controls research at DFKI started his duties as a pro- fessor for Smart Agricultural Systems at the University of Applied Sciences Os- nabrück on September 1, 2021. In the new position, Stiene continues to research his core application area and shifts his focus to teaching after more than ten years at DFKI. He also continues to lead the major project called Agri-Gaia and retains his position as co-director of the Competence Center for Smart Agriculture Technologies. Best Paper Award for Melvin Chelli and Torsten Spieldenner at ICSOFT During the 16th International Conference on Software Technologies (ICSOFT 2021), Melvin Chelli and Torsten Spieldenner from DFKI’s Agents and Simulated Reality research department received the Best Paper Award for their submission “Linked Data as Stigmer- gic Medium for Decentralized Coordination.” Both winners are part of the “Distributed and web-based systems” team at DFKI. Alfred Wegener Institute appoints Professor Dr. Oliver Zielinski to the board of governors for three years The marine physicist is scientiﬁc director and head of Marine Percep- tion at the DFKI Laboratory Niedersachsen (Lower Saxony) as well as head of the AI Competence Center for Environment and Sustainability (DFKI4planet, for short). Zielinski says that his appointment from the scientiﬁc community does not result from his proﬁle as a marine researcher alone, “but clearly because of my work at DFKI, where we combine envi- ronmental research with intelligent technologies.” Zielinski also manages the Center for Marine Sensors (ZfMarS) in the Institute for Chemistry and Biology of the Marine Environment (ICBM) at the University of Oldenburg. As a Helmholtz center for polar and marine research, the Alfred Wegener Institute coordinates Germany’s polar research and studies of the North Sea and the German coastal region. Prof. Dr. Oliver Zielinski, marine physicist, joins other members on the AWI Board of Governors.
Professor Drechsler named ACM Senior Member The Association for Computing Machinery (ACM) selects Prof. Dr. Rolf Drechsler, head of DFKI’s Cyber-Physical Systems, for Senior Member Gra- de. The Senior Members Grade recognizes ACM members with at least 10 years of professional experience and who have made outstanding technical contributions as professional members in at least 5 of the last 10 years. ACM is the world’s largest educational and scientiﬁc computing socie- ty and has more than 100,000 registered members. The aim is to bring educators, researchers, and IT professionals together and stimulate dialog, share resources, and address the challenges of this special subject area. Photo: Lisa Jungmann/University of Bremen 37 F E I R B N I S W E N I K F D 1 2 0 2 / 2 S W E N I K F D Professor Kirchner on joint committee for handling security-relevant research established by DFG and Leopoldina Richard Membarth accepts call for new research professorship at Ingolstadt University of Applied Sciences (THI) The head of DFKI’s Robotics Innova- tion Center became a member of the Joint Committee established by the German Research Foundation (DFG) and the German National Academy of Sciences (Leopoldina) in April 2021. The committee is composed of rese- archers from various disciplines and organizations and was established in 2015 to raise awareness regarding the respon- sible handling of security-relevant issues in research and to sustainably strengthen self-regulation in the sciences. The Committee is co-chaired by Prof. Dr. Thomas Lengauer from the Max Planck Institute for Informatics in Saarbrücken (representing the Leopoldina-Presidium), and Prof. Britta Siegmund from the Charité University Hospital in Berlin (re- presenting the DFG Presidium). In time for the summer semester of 2021, Prof. Dr. Richard Membarth assumed duties as Research Professor for Sys- tems on Chip and AI in Edge Computing on the faculty of Electrical and Computer Engineering. The Bavarian government’s high-tech agenda funds this position as one of the 20 professorships in the Autonomous Driving application cluster and AI Mobility Node Ingolstadt. The core mission is to develop sustainable mobility eco- systems with the help of AI and to research and establish new AI methods. The basic research results will be used for innovation in the areas of autonomous driving, unmanned ﬂight, and digital manufacturing. Improved security in Computer Vision: LXCV Best Paper Award for Dr. Matias Valdenegro at the CVPR 2021 Conference Most Computer Vision models are based on AI, in particular, on artiﬁcial neural networks. However, it is not always possible to follow the output from these models, and they give no indication of possible uncertainties in the calculations. Such security problems are pointed out in the paper by Dr. Matias Valdenegro, from DFKI’s Robotics Innovation Center, with the title “I ﬁnd your lack of uncertainty in computer vision disturbing.” The LXCV (LatinX) workshop series is designed to promote and focus attention on the work of Latin American researchers who are under- represented in the machine learning and computer vision community.
38 D F K I P R O F I L E D F K I N E W S 1 / 2 0 2 1 The German Research Center for Artiﬁcial Intelligence (DFKI) was found- ed in 1988 as a non-proﬁt public-private partnership. It has research facilities in Kaiserslautern, Saarbrücken and Bremen, a project office in Berlin, a Laboratory in Niedersachsen and branch offices in Lübeck, St. Wendel and Trier. In the ﬁeld of innovative commercial software technology using Artiﬁcial Intelligence, DFKI is the leading research center in Germany. Based on application oriented basic research, DFKI develops product functions, prototypes and patentable solutions in the ﬁeld of information and communication technology. Research and development projects are conducted in 25 research departments, nine competence centers and eight living labs.Funding is received from government agencies like the European Union, the Federal Ministry of Education and Research (BMBF), the Federal Ministry for Economic Aairs and Energy (BMWi), the German Federal States and the German Research Foundation (DFG), as well as from cooperation with industrial partners.Twice a year, a com- mittee of internationally renowned experts (Scientiﬁc Advisory Board) audits the progress and results of state-funded projects. Apart from the state governments of Rhineland-Palatinate, Saarland and Bremen, numerous renowned German and international high- tech companies from a wide range of industrial sectors are repre- sented on the DFKI supervisory board. The DFKI model of a non-proﬁt public-private partnership (ppp) is nationally and internationally consid- ered a blueprint for corporate structure in the ﬁeld of top-level research. DFKI is actively involved in numerous organizations representing and continuously advancing Germany as an excellent location for cut- ting-edge research and technology. Far beyond the country’s borders DFKI enjoys an excellent reputation for its academic training of young scientists. At present, approx. 800 highly qualiﬁed researchers, admin- istrators and 560 graduate students from more than 65 countries are contributing to more than 400 DFKI research projects. DFKI serves as a stepping stone to leading positions in industry and successful ca- reers as founders of spin-o companies. Over the years, more than 160 sta members have been appointed professors at universities in Germany and abroad. More information www.dfki.de Contact Reinhard Karger, M.A. Corporate Spokesperson German Research Center for Artiﬁcial Intelligence GmbH Saarland Informatics Campus D3 2, 66123 Saarbrücken, Germany email@example.com +49 681 85775 5253 Established 1988, non-proﬁt organization (public-private partnership) Executive Board Prof. Dr. Antonio Krüger Helmut Ditzer Supervisory Board Dr.-Ing. Gabriël Clemens, VSE AG (Chair) Dr. Susanne Reichrath, Representative of Saarland’s Minister President for Higher Education, Science and Technology (Vice Chair) Shareholders Accenture, Airbus Group, Bilﬁnger SE, BMW AG, Cerence GmbH, CLAAS KGaA mbH, Daimler AG, Deutsche Börse AG, Deutsche Messe AG, Deutsche Telekom AG, Empolis Informati- on Management GmbH, Fraunho- fer Gesellschaft e.V., Google Inc., HARTING AG & Co. KG, Intel Corporation, John Deere GmbH & Co. KG, KIBG GmbH, Microsoft Deutschland GmbH, Münchener Rückversicherungs-Gesellschaft Aktiengesellschaft in München, NVIDIA GmbH, RICOH Company Ltd., Robert Bosch GmbH, ROSEN Swiss AG, SAP SE, Sartorius Ventures GmbH, Schwarz-Gruppe, Software AG, Technische Univer- sität Kaiserslautern, Universität Bremen, Universität des Saarlan- des, Volkswagen AG, VSE AG, ZF Friedrichshafen AG International Scientiﬁc Advisory Board Bi-annual evaluation of publically funded projects: Prof. Dr. Andreas Butz, Ludwig-Maximilians-Universität, München (Chairman) Key Figures 2020 Annual Budget: ca. € 64,6 million Professional staff: 800 Graduate student staff: 560
HUMAN-CENTRIC AI INDUSTRIE 4.0, Digital Twins, Semantic Product Memories • Smart Data – Intelligent Analytics for Massive Data • Wearable Computing and Interactive Textiles • Deep Learning and Machine Learning • Knowledge Management and Document Analysis • Softbots, Digital Assistants, and Chatbots • Educational Technologies • Verification and Evaluation of Safety-critical Applications • Cognitive Social Simulation • Information Extraction and Intelligent Web Retrieval • Multiagent Systems • Experience-based Learning Systems • Visual Computing and Augmented Vision • Mobile and Collaborative Robotic Systems • Multimodal User Interfaces and Autonomous Systems • Shopping Assistance and Intelligent Logistics • Safe and Secure Cognitive Systems and Intelligent Security Solutions • Ambient Intelligence and Assisted Living • Driver Assistance Systems and Autonomous Driving • Cyber-physical Systems • Multilingual Technologies and Language Understan- ding • Business Process Management and Smart Services • Aective Computing • AI in Medicine and Healthcare Kaiserslautern Site Trippstadter Straße 122 D-67663 Kaiserslautern +49 631 20575 0 Saarbrücken Site Saarland Informatics Campus D3 2 D-66123 Saarbrücken +49 681 85775 0 Bremen Site Robert-Hooke-Straße 1 D-28359 Bremen +49 421 17845 0 Laboratory Niedersachsen Berghostraße 11 D-49090 Osnabrück +49 541 386050 0 www.dfki.de firstname.lastname@example.org