GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE NEWS012018 DFKI at CEBIT 2018 Honorary Hermes Award for Prof. Wahlster TRADR Final Review – Top Marks for Rescue Teams DFKI-Newsletter // ISSN-2196-2251 // 41th edition // © 2018 DFKI

CEBIT organizes the digital transformaon with new calendar dates and a new concept based on four pla|orms: d!conomy, d!tec, d!talk, and d!campus. Under “d!conomy”, professional visitors will learn everything required for the digital transformaon of business and administraon. In “d!tec,” startups show disrupve business models, and research instutes experiment with the technologies of tomorrow and beyond. The “d!talk” stage is the venue for visionaries, cross­thinkers, and creave experts from around the world to present their thoughts. The emoonal core of CEBIT is the “d!campus,” a central place for networking. Key data CEBIT 2018 starts on Monday, June 11, with a conference/media day and the opening event in the evening. The actual exhibition begins on Tuesday, June 12, 2018. The exhibit halls are open from Tuesday to Thursday from 10:00 am to 7:00 pm. The d!campus stay opens until 11:00 pm. CEBIT ends on Friday at 5:00 pm. DFKI at CEBIT DFKI presents “Human Centric AI” at four dierent exhibit booths: DFKI exhibit stand (Hall 27, F62), BMBF stand (Hall 27, E52), State of Saarland Research stand (Hall 27, G75), scale11 (Hall 27, A52). Artificial Intelligence, Internet of Things, Augmented and Virtual Reality, Future Mobility and Human Robotics are the CEBIT trend topics addressed by DFKI as part of the d!tec platform in Hall 27. The project results and research prototypes from other DFKI areas of study like human-robot collaboration, body and motion tracking, learning systems, Deep Learning, tax data analytics, immersive quantified learning, smart services for everyday life, reha- bilitation robotics, and Gender IT are on exhibit as well. We sincerely look forward to your visit with us at CEBIT 2018 in Hannover! Free visitor registration is available under the following QR code: MORE INFORMATION Ħ www.dfki.de/cebit2018/en News 1_2018 I © DFKI 3

DFKI AT CEBIT 2018 p. 3 AGRICULTURE TECHNOLOGIES Prospective.HARVEST – Proactive Planning and Control of Cooperative Agricultural Processes p. 18 Smart Services in Food Production p. 19 e z t e D i r e v i l O / d n a l r a a S f o y t i s r e v i n U : o t o h P ROBOTICS TRADR Final Review – Top Marks for Rescue Teams p. 10 RoboCup German Open 2018 – Team B-Human Takes Third Place p. 26 INTERNET OF THINGS FI-NEXT – Internet of Things (IoT) for the Smart City p. 17 Imprint Issue 41, May 2018, ISSN 2196-2251 Published by: German Research Center for Artificial Intelligence GmbH (DFKI) Editorial staff: Heike Leonhard, Christof Burgard, Reinhard Karger, Armindo Ribeiro Editorial address: Saarland Informatics Campus D3 2, Stuhlsatzenhausweg 3, D-66123 Saarbrücken E-Mail: news@dfki.de, Phone: +49 681 85775 5390 Photos: DFKI, unless otherwise noted Cover Photo: TRADR Project Layout, Graphics: Christof Burgard Translation team: Glenn Peach, Armindo Ribeiro, Sylvia Krüger, Heike Leonhard Production: One Vision Design Responsible: Heike Leonhard, Corporate Communications Frequency of publication: Semi-annual News online: www.dfki.de/newsletter-en TABLE OF CONTENTS 3 DFKI at CEBIT 2018 6 Expert Network “Plattform Lernende Systeme” 7 Recupera REHA – Portable Exoskeleton 8 Project SMILE Inspires Girls to Study Computer Science 9 Lab for New Digital Teaching and Learning Methods 10 TRADR Final Review – Top Marks for Rescue Teams 11 Guided AL – Smart Value Adding Services for Everyday Use 12 The Competence Center for Autonomous Driving 14 Center of Competence for Tax Technology (CoC-TT) 15 DaSoMan – A Response to the General Law on Data Protection 16 FootStriker – Running Style Correction Through Electrical Muscle Stimulation 17 Research in Europe – Horizon 2020 Projects at DFKI 18 Top Marks for European Project CREMA 18 Prospective.HARVEST – Proactive Planning and Control of Cooperative Agricultural Processes 19 Smart Services in Food Production 20 Hybrid Teams in Flexible Manufacturing 22 “Du in 3D” – Real Time Motion Capture 22 BodyAtTrack – Mobile Body Tracking and Analysis 23 Project “Be-greifen” – Praxis and Theory in STEM Study 23 Digitalization in Construction – ConWearDi 24 Prof. Dengel – “Distinguished Honorary Professor” 25 DFKI and AITC Beijing Expand Cooperation 25 Smart Data Delegation to Qatar 26 Big Data Days 2018 in Berlin 26 RoboCup German Open 2018 27 META-FORUM 2017 in Brussels 28 Honorary Hermes Awarded to Prof. Wahlster at Hannover Trade Fair 29 Digitalization of Existing Production Plants 30 Innovative Solutions for Industrie 4.0 31 SADA – Better Drivers Thanks to Smart Sensor Data Fusion 31 AI Manager Training Course – Bitkom Academy 32 Three Deep Learning DGX-1V Supercomputers in Operation 32 Sarah Elkasrawi Wins DAAD-Prize 2017 33 DFKI Interview – Dr. Christian Schulze 34 KIANA Systems Acquired by KPMG 34 Triple Awards for DFKI Spin-off InnoCow 34 DFKI-Spin-off Pxio at CEBIT 35 News in Brief 38 Company Profile News 1_2018 I © DFKI 5

Recupera REHA – Portable Exoskeleton Assists Stroke Survivors to Move Again The use of roboc systems in rehabilitaon programs is taking on ever greater importance. The Recupera REHA project, carried out by the Robocs Innovaon Center, achieved a breakthrough in the field of re­ habilitaon robocs: an interdisciplinary research team worked for more than three years to design an innovave, portable, full body exoskeleton that can externally support the human musculoskeletal system. Using this as a foundaon, they developed a mid­term subsystem soluon for the rehabilitaon of stroke paents. N “After a stroke, physiological training is needed to bring people back to pre-stroke levels of functioning. Only in this way can the healthy areas of the brain take over the functions of the damaged areas. Our exoskeleton enables patients to participate in intensive, sustained training, which helps them regain their lost motor skills,” said neurobiologist and project leader Dr. Elsa Andrea Kirchner. New mechatronic approaches and an innovative system for evaluating biosignals The research scientists employ innovative methods in the lightweight construction of the exoskeleton as well as for the drive systems and control technologies. The mechatronic approaches combine with a new system for online evaluation of electroen- cephalography and electromyography signals (EEG-/EMG signals), which enables an assessment of the patient's condition as well as multi-level regulation of the support. Rehaworks GmbH continu- ously monitors the development of the system and evaluates it in terms of the requirements for medical devices in a collaborative ef- fort to support the project. Three dierent control modes for variable upper body assistance For the robotic subsystems, researchers considered various ap- proaches and evaluated use case studies of stroke rehabilitation therapies. A patient in the exoskeleton or a third person can operate the system and select among three different control modes. For ex- ample, by moving one arm, you can make the other arm move too, or a third party can train the desired motion in control of the exoskeleton. Additionally, the system is also controllable using the patient's muscle activity: based on the measured electromyogra- phy signals, it deduces the intentions of the patients and intuitively supports them in their attempted motion sequences. “Recupera REHA allows us to explore new pathways in Human- Robot-Interaction that lead to sustainable improvements in reha- bilitation. We hope to continue advanced development of the exoskeleton in the coming years and, for example, make it even lighter and more flexible while providing more support if neces- sary,” said Professor Frank Kirchner, head of the DFKI Robotics In- novation Center. The research is funded with nearly three million euros by the Fed- eral Ministry of Education and Research (BMBF). MORE INFORMATION Ħ https://www.dfki.de/robotik/en/research/projects/ recupera-reha.html CONTACT Ü Dr. Elsa Andrea Kirchner Research Department Robotics Innovation Center Ö Elsa.kirchner@dfki.de 4 +49 421 17845 4113 Upper body subsystem attached to a wheelchair so the patient does not bear the weight. News 1_2018 I © DFKI 7

The Classroom of Tomorrow – DFKI and TUK Open Lab for New Digital Teaching and Learning Methods Our educaonal system considers individual learning to be key for a modern and inclusive society. Nevertheless, today's learning environments seem to take a very limited approach to the necessary adapve learning process. N A new lab environment at the German Research Center for Artifi- cial Intelligence (DFKI) in Kaiserslautern – in cooperation with busi- nesses, schools, and universities – is the testing and development site for technologies designed for use in new teaching and learning methods. Jointly operated by Kaiserslautern University of Technology (TUKL) and DFKI, the new Immersive Quantified Learning Lab (iQL) defines itself as a concept and prototype workshop that connects humans and computers and creates the smart learning platform of the future. The iQL lab studies various technologies, for example, eye tracking and Augmented Reality (AR) to determine how these may be prac- tically applied in learning and working scenarios. Educational re- searchers and professional educators analyze the data and use it for the diagnostics of learning states and progress as well as the cogni- tive state of the probands. For example, the measurement of facial temperature using an infrared camera reveals the stress level of the learner. Combining such data sources with intelligent algorithms, like those in Deep Learning methods, enables new insights into individual and group dynamics in the learning process. Possible recommenda- tions for action by the teacher can then be derived. Also, the analysis data can be used to form opinions about the cognitive state of the learner. For example, in case of increased stress or strain, individual approaches for improving the learning success can be proposed. In addition to the augmented experimentation, students in the new lab can interact with virtual objects like 3D models and diagrams and vividly acquire detailed knowledge. This allows several students to work on one object at the same time. Such teamwork improves the imagination and enhances long-term memory. New kinds of inter- active possibilities allow students to intuitively navigate digital text- books, search, and make notes using fingers or voice input. Multi-touch whiteboards provide teachers the chance to share digital information directly with one, several, or all students by using simple gestures. Prof. Kuhn (TUK, left) and Prof. Dengel (DFKI, middle) explain the new laboratory to Prof. Wolf, Minister for Science, Further Education and Culture of Rhineland-Palatinate. Another focus of iQL is the analysis of the learning behavior of test persons with different linguistic and cultural backgrounds. This is why joint learning experiments are developed in close cooperation with colleagues from Japan and investigated in a similar learning labora- tory at Osaka Prefecture University. The iQL-Lab was presented to the public for the first time at the “Sci- ence Night “ on April 13 in Kaiserslautern. Prof. Dr. Konrad Wolf, Minister for Science, Further Education and Culture of Rhineland-Palatinate, convinced himself of the innovative approach. At CEBIT 2018 in Hannover, iQL scientists at the DFKI stand (Hall 27, F62) will demonstrate how eye trackers or augmented reality can be used in learning and work scenarios. On the basis of various demon- strators from the laboratory, the latest sensor technologies can then be experienced and give an insight into the future of learning. MORE INFORMATION Ħ www.iql-lab.de CONTACT Ü Prof. Dr. Andreas Dengel Site Manager DFKI Kaiserslautern Ö Andreas.Dengel@dfki.de 4 +49 631 20575 1010 Workstations equipped with eye trackers allow real-time analysis of reading behavior. News 1_2018 I © DFKI 9

Smart services integrate data from various sources for smart value added services, which accompany the user, e.g., into the meeting room when on a business trip. Guided AL – Smart Value Adding Services for Everyday Use Voice language assistants like Alexa, Cortana, and Siri offer consumers the perfect service for everyday rounes: this service includes appoint­ ment reminders, taxi calls, weather forecasts, reading and sending messages, playing music, creang lists, home automaon. The virtual helpers make life more convenient in many ways and can be intuively operated by most people. Service World II (grant number: 01MD16010C). The project has a three-year term. The project sponsor is the German Aerospace Center (DLR). MORE INFORMATION Ħ http://guided-al.de CONTACT Ü Prof. Dr. Philipp Slusallek Head of Research Department Agents and Simulated Reality Ö Philipp.Slusallek@dfki.de 4 +49 681 85775 5276 N Nevertheless, the capabilities of the so-called Voice Services are limited to traditional fields of application, like time management, search engine queries, or control over isolated systems in the automated home. Additionally, opera- tion must begin at a fixed location and the user is bound to company owned products and devices. Data privacy experts also warn of the loss of privacy. Thanks to advances in technology, the capabilities of Voice Services are ap- proaching the level of natural language communication. With a few promises, they are gaining entry through our front door. GuidedAL takes it a step further and makes smart value added services for everyday life available on the basis of selectable use scenarios – with no potential risks for the consumer. At CEBIT 2018, in cooperation with the Innovative Retail Laboratory, scientists at DFKI's Agents and Simulated Reality department are demonstrating the Guided AL service platform for smart value added services. The project is ex- hibited at the Saarland Research stand G75 in Hall 27. The so-called Smart Ser- vices proactively provide faster, more efficient, and safer support to people. Visitors to the stand take on the role of a fictional user and experience a digital assistant at each step, for example, finding a parking space or shopping. Guided AL is designed as an open, system-independent platform based on es- tablished web standards. Special emphasis is placed on near reality applica- tions. Sample applications are implemented in four key areas of life: housing, work, shopping, and health. Data protection and data security are also important design components in the project. Non-functional applications like IT system security and physical access control are also involved. Only those platforms designed according to such a principle (security-by-design) can meet the stringent requirements of a critical environment. This collaborative project is funded by the German Federal Ministry for Eco- nomic Affairs and Energy (BMWi) as part of the technology competition Smart News 1_2018 I © DFKI 11

non-proprietary platform for continuous validation. In the future, not just the “body” of the vehicle (chassis, motor, and all other physical elements) will be subject to testing but also the “brain” (AI- components), so that consumers can assume that the products supplied by the industry are suitable and safe for road traffic. The Genesis consortium is also involved in the newly established AI standardization bodies of DIN and ISO. Such computer-generated fictitious examples are essential to in- crease coverage so that virtual testing of self-driving cars can be accomplished to assure that they are road-worthy and respond predictably to all people in all situations. These aspects are part of the BMBF research project REACT, which provides the basic frame- work for Genesis for the next three years. The overall goal is a sys- tematic, safe, and validated approach to the development, training, and use of digital reality to achieve safe and reliable action of au- tonomous systems, especially, in critical situations. Besides providing validation scenarios, Genesis also offers training material that includes high coverage of critical traffic situations. Such coverage is key to the protection of vulnerable road users such as pedestrians or cyclists. Because critical traffic situations are too rare and too different to be covered by real data, the material for training the neural net- works is supplemented with synthetic data. MORE INFORMATION Ħ https://www.dfki.de/web/competence/ccad CONTACT Ü Dr. Christian Müller Head of Competence Center for Autonomous Driving Ö Christian.Mueller@dfki.de 4 +49 681 85775 5269 Right turns and pedestrians both have a green light. Synthetic data expands the training material for autonomous vehicles adequately to cover critical traffic situations like this one. News 1_2018 I © DFKI 13

DaSoMan – A Response to the General Law on Data Protection The General Data Protecon Regulaon (GDPR) that has become enforceable in May 2018 reveals a dilemma for users: while users rely on data­based services, they also want the use of their own informaon to be self­determined. This demand cannot ooen be sasfied by the service providers. The soluon for the future is being developed by the DaSoMan project. Big Value needs Big Data The five largest social networks and mobile communication ser- vices account for 7.7 billion active users. Market leader Facebook alone can claim more than 2 billion users, leading to an estimated 300,000 terabytes of stored user data. This data is being used to de- rive user behavior for subsequent use in the personalization of ser- vices. Data-driven services enable a new kind of analysis that provides value opportunities for the service provider – as well as for the customer. resents a huge relief for companies in times of major changes in the legal framework because our solution is easy to use and it en- sures compliance with GDPR.” The purpose of the software is to enable data management by the end user and to provide notification of any data transmissions that might allow conclusions to be deduced about the user's own iden- tity. The data is anonymized, transmitted to, and analyzed by the data processor in compliance with the law, so that it can still pro- duce added value. Users want transparency and security A lack of transparency in connection with the transfer of user data is also apparent: it is often unclear to the user what data is being collected and who else can access it. There is also no guarantee of data security. In recognition of this and to support Internet users, the European Union has adopted the General Data Protection Reg- ulation. Effective on May 25, 2018, a legal framework has been es- tablished for the storage of mass data and processing of personal data. Data Sovereignty Manager, in short DaSoMan, is being devel- oped to support compliance with this legal framework. The DaSoMan project is funded by the Federal Ministry of Education and Research (BMBF) under grant number 16KIS0806 and aims to provide users more oversight of their data and its use by service providers. It will also ensure legal compliance in the handling of user data from the point of view of the data collector. DFKI project leader Andreas Emrich explains the project's added value as it pertains to the new data protection law: “The goal of the DaSoMan project is to meet one of our greatest needs and, in the process, solve one of our greatest problems: how to allow our data to be analyzed by ser- vice providers in a way that is to our own benefit, without the fear of having our private data passed on to third parties. Success rep- DaSoMan is presented as part of the scale11 start-up program in Hall 27, A52 at this year's CEBIT in Hannover from June 12-15, 2018. MORE INFORMATION Ħ www.dasoman.de CONTACT Ü Andreas Emrich Institute for Information Systems (IWi) at DFKI Ö Andreas.Emrich@dfki.de 4 +49 681 85775 5081 News 1_2018 I © DFKI 15

Since 2014, the EU funding program Horizon 2020 has pooled and stepped up European research and innovaon acvies. DFKI exhibits four of its Horizon 2020 projects at CEBIT 2018 in Hall 27, Stand F62. CPPS enable versatile production processes and rapid conver- sion of assembly lines for different product variants. BEinCPPS supports small and medium-sized companies in Europe so they can also benefit from the introduction of CPPS and cloud ser- vice platforms for machinery and manufacturing systems. The aim of the project is to increase the acceptance and use of CPPS in Europe by creating regional networks of competence centers, manufacturing companies, and IT-service providers. local MORE INFORMATION Ħ www.beincpps.eu FI-NEXT facilitates the development of distributed IoT environments – from sensor systems to interactive visualization. Continuing the work of the earlier ARVIDA project and improving the generic enabler FiVES from the FIWARE project, the FI-NEXT team is studying software architectures for digital processes. The software components for consistent data management and real-time synchronization of ap- plication data across a large number of linked clients are given en- hanced capabilities to enable the integration of IoT sensors and actuators in distributed software systems. The concept development includes providing the necessary service infrastructure and its inte- gration with related work in the FIWARE ecosystem. The aim is to use FI-NEXT in large-scale “Smart City” IoT applications. CONTACT Ü Dr. Klaus Fischer Research Department Agents and Simulated Reality MORE INFORMATION Ħ www.fiware.org Ö Klaus.Fischer@dfki.de 4 +49 681 85775 3917 CONTACT Ü Torsten Spieldenner Research Department Agents and Simulated Reality Ö Torsten.Spieldenner@dfki.de 4 +49 681 85775 7748 Although text, pictures, and music have been available for a long time now in digital formats, the virtualization of objects has not yet made its way into the mainstream of commercial or private use. The DISTRO research network works on the technologies that facilitate and accelerate digitalization and the production processes of objects. The 13-partner consortium brings together research and business organizations to develop user-friendly tools in the areas of visual computing, 3D computer graphics as well as 3D object design and adaptation. The aim is to support companies, traders, and entrepreneurs with the implementation of new product ideas and the digitalization of manufacturing processes. MORE INFORMATION Ħ www.distro-itn.eu CONTACT Ü Dr. Klaus Fischer Research Department Agents and Simulated Reality Ö Klaus.Fischer@dfki.de 4 +49 681 85775 3917 Health-related events and developments are often overlooked in medical treatments because the data in the field of healthcare is so diverse. The CrowdHEALTH consortium develops a secure digital plat- form that aids health care decision making by enabling the integra- tion of large volumes of data from different sources. DFKI's Cyber-Physical Systems department works on the intelligent assis- tance systems to facilitate the collection and consolidation of non- medical data that is still relevant to the patient's health record, for example, daily activities and routines or nutritional habits. MORE INFORMATION Ħ www.crowdhealth.eu CONTACT Ü Dr. Serge Autexier Research Department Cyber-Physical Systems Ö Serge.Autexier@dfki.de 4 +49 421 218 59834 News 1_2018 I © DFKI 17

The sensors of the artificial potato „nPotato“ capture the bumps and rotations during the harvest process. University of Saarland / Photo: Oliver Dietze Smart Services in Food Production Smart services ensure transparency in the culvaon and processing of agricultural products. Using food potato producon as an example, DFKI Smart Service Engineering department shows the journey of the potato from the field to the factory and how it can be made more transparent for everyone involved – farmer, supplier, and producer and even the commodity investor. N DFKI scientists demonstrate the advanced service-oriented de- velopment of the smart potato “nPotato” in Hall 27, Stand F62 at CEBIT 2018, where they are also looking for partners to exploit the system for practical use. “nPotato” ensures that a farmer learns in real time whether the set- tings are optimal on his combine harvesters and if the harvest is sufficient or if there is more potential for optimization. Based on such data, deep learning technologies forecast how much profit will be generated from the current harvest. Smart services extend “nPotato” even more with a digital administrative shell created ac- cording to RAMI 4.0, a kind of logbook that contains as much infor- mation as possible about the potato batch. Using pain sensitive artificial tubers, researchers determine how many blows the real potatoes receive: “We set our so-called nPotato out in the local fields,” said project manager Sabine Janzen. The potato harvester picks up the “nPotato” too, and it follows along the same path through the machinery as the real crop. Sensors capture the bumps and rotations, and if too extreme, signal a warning. “To link the physical and virtual objects, classify the bumps, and draw conclusions, we combine the methods of machine learning and deep learning with information and communication technologies,” explained Sabine Janzen. Ultimately, the data is analyzed, the quality of the harvest is as- sessed, and with the help of the low-code platform TUCANA, differ- ent displays are presented to the tractor operator, the farmer in the office, and the future producer. With the information, other business models can be developed: for example, decision making support for the farmer as to when is the best time to bring the potatoes to market, or determining quality grades for whether the batch is something for the gourmet cook or more suited for the flour mill. Even the production machines can be adjusted, for example, to peel the skins deeper. Commodity investors can secure purchases with a seal of quality. “When we consider the data from several farmers together, even more forecasts are possible. This means that potato chip producers could decide for a different type of potato if we can predict there will be a problem with the quality of the har- vest with another type in three months,” said Professor Maaß, head of DFKI Smart Service Engineering. MORE INFORMATION Ħ www.dfki.de/web/research/sse CONTACT Ü Prof. Dr. Wolfgang Maaß Head of Research Department Smart Service Engineering Ö Wolfgang.Maass@dfki.de 4 +49 681 302 64736 News 1_2018 I © DFKI 19

optimization of production as an autonomous system, for example, for existing production processes or to remedy failure-related bot- tlenecks. The challenge in this scenario involves “piloted learning” through of a fast, remote teach-in, in which the learning robot is provided with the new capability by a “teach-in-expert” at a service center (i.e., not present on site). This teacher uses a tactile interface com- parable to the target robot, such as a sufficiently similar robot. In summary, the results exhibited show the use of hybrid teams in variable production are expressing the underlying concept of INDUSTRIE 4.0, where optimizing productivity and job satisfaction is based on two central objectives: • Good work: further development of point by point assistance systems to ensure safe and pleasant human-robot cooperation in teams. • Good numbers: achieve competitive and cost advantages with shorter engineering phases and less downtime. In addition to the project partners, other supporters of the demon- strator project are: LAP Laser Applications, SICK, and WOLL MASCHI- NENBAU. MORE INFORMATION Ħ http://hybr-it-projekt.de Ħ www.basys40.de Ħ http://tractat.dfki.de Ħ www.power4production.de/industrie-4-0-projekte/mrk-4-0 CONTACT Ü Dr. Anselm Blocher | Dr. Dietmar Dengler | Dr. Tim Schwartz Research Department Intelligent User Interfaces Ö [Anselm.Blocher |Dietmar.Dengler |Tim.Schwartz]@dfki.de 4 +49 681 85775 5262 |5259 |5306 to ensure maximum latitude for dynamic adjustments and opti- mizations. The support of the migration of existing production sys- tems for compatibility with BaSys 4.0 systems is a key focus of the project concerning the acceptance of the approach at the com- panies. DFKI has set up a controllable, cost-effective, and time-efficient ser- vice-based infrastructure to implement the required dynamics of INDUSTRIE 4.0 production systems, which is guided by production- specific questions: • Why should what happen? • How and where should it happen? • Who makes it happen? This approach uses a service platform for the conversion of produc- tion lines to support upgrading of multifunctional resources (mobile robots) with new capabilities. Implementation is accomplished via a holistic, production-ready plug & produce process and the ex- ploitation of orchestrated individual capabilities. The resulting pro- ductivity advantage is automatically achieved through permanent production optimization: This autonomous system continuously detects and dynamically implements a production step refinement (HOW, WHERE, WHO). Under the lead management of DFKI, the collaborative project Hybr-iT studies hybrid and intelligent human-robot collaboration (HRC); the focus is on hybrid teams in variable, cyber-physical pro- duction environments. Heterogeneous, mobile, and stationary robots support socio-technical production as illustrated with the BaSys 4.0 service platform for HRC integration using the example of a dynamic milk run for mobile and stationary production stations and ergonomic workplace design. The programming of complex processes takes place through func- tional abstraction of specific devices and simple composition on the process level. This allows a regulated and controllable interrupt of autonomous processes through human intervention. It also en- ables a controlled transition from virtual to real commissioning of a production component. The demonstrator highlights key aspects of hybrid teams such as collegial interaction between humans and robots, multimodal human-robot communication (via voice input and output and even from smartwatches), sensor-assisted flexible interaction between robots, as well as the safety aspects of mobile co-bots. This is all based on the outstanding implementation of various robot capa- bilities: • Simple transport orders via a mobile robot platform • Combined transport requests with parallel execution of a production step • Automated quality control • Automated loading of the transport robot • Sensor-assisted object gripping The TRACTAT project accepts one of the main challenges of au- tonomous systems: the transition of control from humans to the autonomous system. The team develops a general approach as well as the formalization for the realization of a seamless and effective transition, especially in complex, ambiguous situations. One possi- ble application is for providing new capabilities for the continuous News 1_2018 I © DFKI 21

Praxis and Theory Linked in STEM Study – The “Be-greifen” Project Most college dropouts are enrolled in the STEM subjects. The dropout rate in the first few semesters in physics, for example, is 30­ 40%. The reasons for this vary greatly. One factor is certainly the low didacc preparaon of the course content. Even the fundamental tasks in experimental physics are almost exclusively theorecal in nature. N The Federal Ministry of Education and Research (BMBF) sponsors the “Be-greifen” project with the aim of studying interactive meth- ods to use the “merger” of the real and the digital worlds to expe- rience relationships between experiment and theory in real time and make them somehow understandable and explorable. Success is measured as the direct reflection of the learning progress as well as system adaptations based on the interactions with learners. Applying an experiment from the basic course in physics in the field of electricity, DFKI's Embedded Intelligence department shows how augmented reality can provide learners with both sen- sor-based, real-time data and information about the experiment itself while it is being performed. New interactive methods in physics dydactics illustrate relation- ships between experiment and theory. MORE INFORMATION Ħ www.technik-zum-menschen-bringen.de/projekte/be-greifen CONTACT Ü Prof. Dr. Paul Lukowicz Head of Research Department Embedded Intelligence Ö Paul.Lukowicz@dfki.de 4 +49 631 20575 4000 Digitalization in Construction – ConWearDi N The construction and energy sectors have a lot of catching up to do in the area of digitalization. Although BIM systems (Building Information Modeling), modeling, and simulation tools are already used in construction planning, the construction work itself, mean- ing the value-adding work on the construction site with its trades, continues to be dominated by analog media and processes. The ConWearDi project is funded by the Federal Ministry of Educa- tion and Research (BMBF) and focuses on the development of in- novative, technology-based services to connect the various value chains in the construction industry and features digital construction site processes. At CEBIT, the Embedded Intelligence research department exhibits an initial approach, which uses sensor networks deployed on the construction site, to implement automated condition detection and, ultimately, the remote management of the construction site. In this case, the sensor nodes of the network can be located in the building materials, in the clothing, for example installed in the hel- met, or attached to the equipment or positioned in the construc- tion site environment. MORE INFORMATION Ħ http://ei.dfki.de/en/home CONTACT Ü Marco Hirsch Research Department Embedded Intelligence Ö Marco.Hirsch@dfki.de 4 +49 631 20575 2048 A smart drone documents building progress. News 1_2018 I © DFKI 23

DFKI and AITC Beijing Expand Cooperation N DFKI and the Chinese Artificial Intelligence Technology Center (AITC) in Beijing will be cooperating more closely in the future. The subject agreement was signed on April 11, 2018 by Prof. Dr. Volker Markl, head of DFKI Intelligent Analytics for Massive Data depart- ment, and Dr. Hanyan Zhang, Director of AITC, as part of the visit of Yin Hejun, Deputy Mayor of Beijing. Dr. Hanyan Zhang, Executive Director of AITC Beijing and Prof. Dr. Volker Markl, representing DFKI management for the signing ceremony in Ber- lin. Background: Yin Hejun, deputy mayor of Beijing and Prof. Sebastian Möller, DFKI Language Technology department. Smart Data Delegation to Qatar Qatar is driving the transion from an oil and gas producing naon to a knowledge­based, technology­driven economy. To learn more about Qatar's innovaon program “Smart Qatar,” which is funded with approx­ imately 1.5 billion euros, a German delegaon headed by Dr. Andreas Goerdeler and Dr. Alexander Teenborn represenng the German Fed­ eral Ministry for Economic Affairs and Energy (BMWi) visited the capital Doha at the end of February 2018. N A team at the Smart Data Forum organized the trip for the purpose of identifying cooperation potential between ongoing research and innovation programs in the area of digital technologies with a partic- ular focus on the application areas Smart Mobility and Smart Energy. The delegation visited the Qatar Science and Technology Park (QSTP) Photo: Smart Data Forum in Doha. AITC Beijing was co-founded in April 2017 by Dr. Hanyan Zhang and Prof. Dr. Hans Uszkoreit, DFKI Language Technology department. The priorities for research are the development of smart service systems and the creation of a Big Data public technology platform. Representatives of DFKI visited AITC in Beijing while participating in the Smart Data Forum Asian roadshow in August 2017. During the reciprocal visit, the delegation from Beijing learned about the cur- rent research of DFKI Berlin. To intensify relations between the two cities and promote scientific exchange, especially in the field of AI, the Beijing AITC will also move to offices in the German capital, in the direct vicinity of the DFKI Berlin. MORE INFORMATION Ħ www.aitcbeijing.com CONTACT Ü Prof. Dr. Hans Uszkoreit Research Department Language Technology Ö Hans.Uszkoreit@dfki.de 4 +49 30 238 95 1800 Prof. Volker Markl and Dr. Ahmed Elmagarmid at the memorandum Photo: Smart Data Forum of understanding signing ceremony. Participants included representatives from BMWi supported tech- nology programs: Smart Data, IKT for Electric Mobility, SINTEG, as well as the Berlin Big Data Center (BBDC) and Mobility2Grid spon- sored by Federal Ministry of Education and Research. The delega- tion also included three prize-winning smart energy startups. The important facilities visited by the delegation included: the Qatar Computing Research Institute (QCRI), the Qatar Environ- ment and Energy Research Institute (QEERI), the Qatar Mobility In- novation Center (QMIC), and the Qatar Science and Technology Park (QSTP). The delegation was able to gain valuable insights into ongoing research, introduce own projects and innovations, and discuss specific cooperation possibilities. Prof. Dr. Volker Markl and Dr. Ahmed Elmagarmid signed a Memorandum of Under- standing for closer cooperation in education and research. News 1_2018 I © DFKI 25

META-FORUM 2017 in Brussels – The Path to the Human Language Project Aoer events in Budapest, Berlin, Riga, and most recently, in Lisbon, META­FORUM 2017 was held on November 13­14, in Brussels, Belgium. The conference focus is on the technologies for a mullingual Europe and is organized by the Language Technology (LT) research unit of DFKI Berlin – with the support of META­NET and the EU's “CRACKER” project. The main topic this year was the vision of the “Human Language Project” as a new, large­scale research funding pro­ gram for AI, Computaonal Linguiscs, and Language Technology. N Algirdas Saudargas (MEP, Lithuania) returned as the opening speaker to emphasize the importance of technology for overcom- ing language barriers. Further keynote speeches were given by Rytis Martikonis (Director General of the Translation Directorate of the European Commission) and Marco Marsella (head of the learning, multilingualism, accessibility unit of the European Commission). META-FORUM 2017 highlights included: a presentation of the final version of the Strategic Language Technology Research Agenda for Multilingual Europe, keynote speakers Alex Waibel (Karlsruhe Insti- tute of Technology KIT, Carnegie Mellon University) and Necip Fazil Ayan (Facebook), and a series of panel discussions (including the future of machine translation, organized by the EU project QT21), as well as numerous other lecture sessions featuring topics from research and industry. The co-winners of the META Award 2017 were the Commission's Ma- chine Translation Team (MT@EC) and the translation services of the European Institutions, that is, the two general directorates for trans- lation for European Parliament and the European Commission. Pas- cale Chartier Brun (Head of DG TRAD Applications & IT Systems Development, EP), Markus Foti and Daniel Prou (MT@EC, EC) and Christos Ellinides (Deputy Director General, DG Translation, EC) per- sonally accepted the award. The META Seal of Recognition was awarded to DFKI spin-off Acrolinx from Berlin and to Higher Func- tions (Portugal) and Service EventRegistry (Slovenia). Dr. Georg Rehm, Language Technologies Department, at META- FORUM 2017. Photo: Frederic Andrieu The Multilingual Europe Technology Alliance (META) is a network of excellence (NET), consisting of 60 research centers in 34 countries – an open alliance of language technology developers and users from the areas of research, industry, and public administration. Repre- sentatives of some 800 companies and institutions from more than 60 countries have already joined the alliance, which was founded in 2010. MORE INFORMATION Ħ www.meta-forum.eu Ħ www.meta-net.eu Ħ www.cracker-project.eu Ħ www.cracking-the-language-barrier.eu CONTACT Ü Dr. Georg Rehm Research Department Language Technology Ö Georg.Rehm@dfki.de 4 +49 30 23895 1833 META-FORUM 2017 in Brussels. Photo: Frederic Andrieu News 1_2018 I © DFKI 27

Hannover Messe 2018 – Digitalization of Existing Production Plants DFKI's Innovave Factory Systems research team and SmartFacto­ ryKL once again presented the subject of vercal integraon in pro­ ducon with 19 industrial partners at the Hannover Messe. A central queson of industry took center stage: How can exisng producon facilies be digitally retrofied? N The answer is found in the use of edge devices as the essential tool for obtaining and using the data from the systems. Various de- vices from our partner companies – from mini-PCs to IoT gateways to cloud connections – are used in the SmartFactoryKL consortium's INDUSTRIE 4.0 production plant: Technically diverse, edge devices all perform the similar task of collecting the condition data of the production machines that is then processed in the cloud platform. Processing allows conclusions to be drawn about the condition of the system (condition monitoring) and, for example, maintenance work can be initiated as needed (predictive maintenance). Many interested guests from Germany and abroad – including politicians, high-ranking business representatives, associations, and research institutes – visited the exhibit stand in Hall 8. “Together, we show practical solutions that can be implemented immediately while making an important contribution to the trans- fer of knowledge from research and demonstration to practical ap- plications,” said Prof. Dr. Detlef Zühlke, chairman of the board of Smart-FactoryKL. Exhibit partners include: Belden/Hirschmann, Bosch Rexroth, B&R Automation, EPLAN Software & Service, Festo, HARTING, Huawei, IBM, KIST Europe, LAPP KABEL, METTLER TOLEDO, MiniTec, PHOENIX CONTACT, Pilz, proALPHA, SAP, Siemens, TÜV SÜD, and Weidmüller. Federal Economics Minister Peter Altmaier visits the INDUSTRIE 4.0 pro- duction plant at the Hannover Messe. Left: Prof. Martin Ruskowski, Head of Innovative Factory Systems research, right: DFKI CEO Prof. Wolfgang Photo: Deutsche Messe Wahlster. Other priorities: Photo: SmartFactoryKL / A. Sell • Connected Cloud: Networking different clouds – from various supplier clouds to a service provider cloud to a higher level system cloud. • 5G Mobile technology: Protected transmission of high data rates and the lowest possible latency. Visual quality control of components via 5G. • Modular certification: Flexible, fast, and secure production plants in the sense of a Plug & Produce approach down to the component level. • Improved infrastructure: Moving data management from the infrastructure box itself to the edge devices. The supply infra- structure intelligence moves closer to the components. • AI and AR: AI assists employees to combine data from various sources and use only the relevant filtered information. Augmented Reality supports this activity, for example, via smart data glasses. • TSN (Time Sensitive Networking): real-time and multi- protocol capable network infrastructure MORE INFORMATION Ħ http://smartfactory.de/en Ħ www.dfki.de/ifs CONTACT Ü Dr. Haike Frank Technologie-Initiative SmartFactoryKL e.V. Research Department Intelligent Factory Systems Ö Haike.Frank@dfki.de 4 +49 631 20575 3406 News 1_2018 I © DFKI 29

SADA at the Hannover Messe – Better Drivers Thanks to Smart Sensor Data Fusion N Today, an increasing number of traffic sensors capture a variety of different data. The intelligent combination and evaluation of this data open new ways of meeting traffic related challenges. SADA (Smart Adaptive Data Aggregation) is a collaborative project carried out by a consortium that includes the DFKI Robotics Innovation Center and has the aim of developing solutions for the smooth fu- sion of heterogeneous sensor data from vehicles and data from the surroundings. The consortium presented its findings on the robotic EO smart connecting car, which served as a demonstration plat- form at the German Federal Ministry for Economic Affairs and En- ergy (BMWi) – Hall 2, Stand C28 at the Hannover Messe. The system developed in the SADA project enables the dynamic in- tegration and evaluation of data from different, uncoordinated sen- sors. The adaptation and fusion process developed for this purpose recognizes what data is available to it in real time and selects the application-relevant data, giving it the ability to respond quickly. In this way, the project manages the intelligent and flexible linking of data from the vehicle's onboard sensors with data from previously unknown stationary infrastructure sensors. As the central component of the system, the Robotics Innovation Center developed a back-end that, on the one hand, manages and processes sensor data and, on the other, correlates mobile and sta- tionary sensors. The back end manages formalized semantic meta- data, which describe the attributes and contextual relationships of the available sensors and data sets, which creates the basis for an automated ad-hoc fusion of heterogeneous sensor data. In addi- tion, DFKI scientists created an efficient and fail-safe communica- tion infrastructure that ensures the necessary data and processing capacity is available in real time at all times to implement complex tasks. Furthermore, SADA researchers developed a so-called range- extender, that is, a trailer for electric cars that is equipped with The SADA project results are presented at Hannover Messe using the EO Smart Connecting Car with range extender. additional batteries and sensors, which allows the vehicle to travel longer distances and to record additional environmental data. SADA project was funded by BMWi with a total of 3.8 million euros from February 1, 2015 to April 30, 2018. MORE INFORMATION Ħ www.projekt-sada.de/en-sada CONTACT Ü Christian Backe Research Department Robotics Innovation Center Ö Christian.Backe@dfki.de 4 +49 421 17845 6634 AI Manager Training Course Launched with Bitkom Academy N Artificial Intelligence (AI), machine learning, and autonomous systems will greatly influence the development of companies in the coming years. What does this mean for your company? Can AI be exploited to support future value-adding activities? What are the AI concepts, principles, methods, and concrete applications behind the often talked about buzzwords? Answers to these questions are provided in a certification course called “AI Manager Training” now offered in Berlin, the first training course in the area of Artificial In- telligence recognized with a certificate. The training is a professional development course aimed at those with decision making responsibility in the company. Corporations, SMEs, and start-ups are equally addressed. This unique educational course in AI is appropriate for those responsible for strategic corporate development, business development, digitalization, as well as operational project managers and team leaders. The course consists of five modules, in which participants are taught the basics of Artificial Intelligence and hybrid value creation through heuris- tics, knowledge-based systems, and machine learning – No com- puter science or AI skills are required for enrollment. Lecturers from DFKI are Prof. Dr. Wolfgang Maaß, Prof. Dr. Antonio Krüger, Dr. Carsten Ullrich, and Dr. Sven Schmeier. Contributing from AI commercial side are Dr. Alexander Lemken (ioxp GmbH), Thomas Jenewein (SAP AG), and Sven Semet (IBM Deutschland GmbH). The principal researcher of the certificate course is Prof. Dr. Christoph Igel, head of the Educational Technology Lab. MORE INFORMATION Ħ www.bitkom-akademie.de/seminare CONTACT Ü Prof. Dr. habil. Christoph Igel Head of Educational Technology Lab Ö Christoph.Igel@dfki.de 4 +49 30 23895 1052 News 1_2018 I © DFKI 31

N DFKI INTERVIEW – DR. CHRISTIAN SCHULZE Chrisan Schulze is a senior researcher in the department of Smart Data & Knowledge Services and staff member at the Deep Learning Competence Center. 9 What do you regard as potential applications for your research? 9 What do you enjoy doing when you are not working as research scientist? Outside of my research, I spend as much time as possible with my family. My three-year-old son is a master at grabbing my at- tention and reminding me of the unbiased approach. 9 Do you see any parallels to your professional work? When dealing with neural networks, AI, and learning, children are a great object for observation. Interestingly enough, not only does that observation inspire my work, but conversely, I can bet- ter explain various observations on the basis of my knowledge of AI. 9 What are your current projects? I am currently working on infiniband networking, which will enable the three DGX-1 machines to simultaneously use all 24 graphics cards. Also, I am working on the deployment of a 1 Petabyte cluster storage system for the high-performance transfer of the large volumes of data required for Deep Learning. CONTACT DFKI Ü Dr. Christian Schulze Research Department Smart Data and Knowledge Services Competence Center for Deep Learning Ö Christian.Schulze@dfki.de 4 +49 631 20575 4183 A major priority in my work at DFKI in recent years has involved the planning, procurement, initial operation and deployment of HPC systems (High Performance Computing), especially, for Deep Learning to provide researchers with the best possible hardware and software as required for their project work. Be- sides, I supervise students and Ph.D. candidates in the field of multimedia analysis using Deep Learning methods. I am also in- volved in research and industrial project acquisition. 9 When did your interest in Artificial Intelligence begin and how have AI processes changed since that time? I came into contact with Artificial Intelligence technologies early in my electrical engineering studies, where my interest in this field of research was really awakened. My fascination with AI, especially, for neural networks and evo- lutionary algorithms was a major factor in my joining DFKI after graduation and continues to this day. I am extremely impressed with the enormous progress of recent years in the development of neural networks. It has moved from being a niche process to currently the most respected AI technology. Such an advance was not necessarily foreseeable in this form. As a result of this advance, the future opportunities for AI systems are many, and the future impact of AI on society should not be underestimated and certainly not ignored. 9 What are the greatest challenges and opportunities for AI systems? In my opinion, a major challenge, besides continued improve- ments in reliability, is essentially presented by ethical and legal aspects of AI. Self-driving cars are the perfect example. However, beyond this are many other AI applications and, as a result, a wide variety of property rights and accountability issues. An- swering these questions is both the challenge and the opportu- nity for the general acceptance of AI in the society. News 1_2018 I © DFKI 33

Dual Prizes for A.L.I.N.A in Lower Saxony The Federal Ministry of Education and Research (BMBF) funded collaborative project known as A.L.I.N.A (Intelligent Assistance Services and Customized Learning Environ- ments to Support Interdisciplinary Knowledge and Actions in Emergency Care) received two awards in the federal state of Lower Saxony at the end of 2017. The Innovation Prize of the district of Göttingen and the 7th Health Prize in the category “Mobile Applica- tions – mHealth in Health Care” went to the research project led by the Interdisciplinary Emergency Department of the University Medical Center Göttingen. DFKI is a consor- tium partner and successfully collaborates with the Educational Technology Lab (EdTec Lab). Professor Christoph Igel is the New Spokesperson at DFKI Berlin Since 2010, the internationally recognized expert for the digital transformation in education has held a leadership position at DFKI with responsibility for the development of the Educational Technology Lab in Berlin. Additionally, Prof. Dr. Volker Markl was appointed as Chief Scientist at DFKI Berlin. NEWS IN BRIEF AI Hack DT Hackathon Prize in Berlin The first AI hack sponsored by Deutsche Telekom, the AI Hack- athon, took place on January 29- 30, 2018 in Berlin. Three researchers from DFKI Berlin won the fourth of six challenges on the topic of chatbots and recei- ved 1,000 euros in prize money. Their subject was the automatic evaluation of emotions in written man-machine-communications. The system that identifies user emotions in chat messages was developed by Xenia Klinge from the Intelligent User Interfaces de- partment and, Britta Grusdt and Jan Nehring, from the Language Technology department. Professor Volker Markl Accepts Presidency of VLDB Foundation In January 2018, Prof. Markl, head of the department Intelligent Analytics for Massive Data, assumed his duties as president of the VLDB foundation (Very Large Data Base Endowment). The endowment is an international, non-profit foundation registered in the USA for the purpose of promoting scientific research in the area of data management and related fields (for example, Big Data, Data Science, and information systems) worldwide. More Information: www.vldb.org Professor Frank Kirchner Appointed to New Positions Prof. Dr. Kirchner has been appointed to the Standing Selection Committee of the “Networks of Centers of Excellence of Canada (NCE).” NCE is an initiative of the Canadian government that promotes collaboration between universities, indus- try, government and non-profit organizations to create large-scale research networks. Prof. Dr. Kirchner also chairs the committee for the “Robotics and Automation” program for the German Aerospace Center (DLR) and is an active full member of the commission. More Information: www.dlr.de/dlr/en • www.nce-rce.gc.ca Reinhard Karger Named as Fellow at the Competence Center for Cultural and Creative Industries The DFKI spokesperson has been on the "sounding board" for topics, trends, and talent for the federal government's Cultural and Creative Industries initiative since March 2018. Fellows must be business persons and experts from the cultural and creative in- dustries and other sectors of the economy who support the initiative by identifying and developing topics, particularly, at inter- faces with other sectors of the economy and social sectors. More Information: https://kreativ-bund.de News 1_2018 I © DFKI 35

NEWS IN BRIEF Projekt DaaN (Design Adaptive Ambient Notification) Reaches Successful Conclusion A technical platform designed to assist people to continue to lead an independent life in old age was pre- sented at the final event attended by representatives from the Federal Ministry of Education and Research (BMBF) and project sponsor VDI/VDE in February 2018. The system learns the user's con- text and typical activity patterns. It provides reminders of everyday processes, supports sensory percep- tion, and coordinates notifications. 9th ITH Conference for Innovative Technologies for Commerce The conference for research developments and trends in the retail industry is on Sep- tember 27 and 28 this year at the golf course hotel in St. Wendel, Saarland. The host is the Innovative Retail Lab (IRL) of DFKI. Since being established in 2007, the IRL together with its cooperation partner, Globus SB-Warenhaus Holdings, has stood for the evaluation of innovative application pos- sibilities in realistic application scenarios. More Information: www.innovative-retail.de DFKI at the International Aerospace Exhibition The DFKI Robotics Innovation Center (RIC) presented the “TransFIT” transfer project at the German Federal Ministry for Economic Aairs and Energy (BMWi) stand from April 25-29, 2018. The project enables robot systems to construct infrastructure in space and to develop deployment options in the area of INDUSTRIE 4.0. The aim is to develop robotic capabilities to facilitate the autonomous construction of com- plex assemblies and the cooperation with humans. As an example of the transfer of aerospace technologies to terrestrial applications, RIC also demonstrates the six- legged Coyote III space rover, which is equipped with a gas sensor and can be used on Earth to explore poorly accessible buildings and detect escaping gas in a disaster scenario. New Innovation Partner – Seven Principles AG MOOC Smart Service World – Data and Platform-Based Business Models The Innovative Retail Laboratory (IRL) is proud to name Seven Principles as a new partner for innovation since December 2017. 7P advises clients about the digital transformation with a focus on AI and Big Data. These priorities coincide with the know-how of IRL for transfer to the commer- cial trade. The aim is to develop and implement the po- tential of artificial intelligence in commerce using forward-looking scenarios. Together with Accenture and the Federal Ministry for Economic Aairs and Energy (BMWi) acatech has implemented the Massive Open Online Course (MOOC) for the purpose of familiarizing a wide range of interested parties with the functionalities, prere- quisites, and possibilities of data and platform-based services. DFKI professors Dr. Wolfgang Wahlster and Dr. Anthony Jameson contributed four lectures in the field of Artificial Intelligence to the approximately 10-hour long course. An English version will be launched after CEBIT ends on June 19, 2018 and will be availa- ble at open.sap.com, the MOOC platform of SAP. Professor Andreas Butz Named as New Chairperson of the Scientific Advisory Board The international Scientific Advisory Board (SAB) conducts a semi-annual review of the progress of publicly-funded projects at DFKI. At the 52d Meeting held on February 19-20, 2018 at DFKI in Saarbrücken, Dr. Markus Gross from ETH Zu- rich completed his regular term after a 10-year membership on the SAB. The new chairperson is Prof. Dr. Andreas Butz, who is the chair of Human- Machine-Interaction at Ludwig-Maximilian Univer- sity in Munich. (l. to r.) Prof. Malik Ghallab, Prof. Randy Goebel, Prof. Werner Damm, Prof. Donia Scott, Prof. Andreas Butz, Prof. Oliviero Stock, Prof. Markus Gross, Prof. Friedemann Mattern News 1_2018 I © DFKI 37

Research & Development Scientific Excellence and Transfer N Research Departments and Research Groups Kaiserslautern Site Prof. Dr. Prof. h.c. Andreas Dengel: Smart Data & Knowledge Services Prof. Dr. Paul Lukowicz: Embedded Intelligence Prof. Dr. Martin Ruskowski: Innovative Factory Systems Prof. Dr. Hans Schotten: Intelligent Networks Prof. Dr. Didier Stricker: Augmented Vision Saarbrücken Site Prof. Dr. Josef van Genabith: Multilingual Technologies Prof. Dr. Antonio Krüger: Innovative Retail Laboratory, St. Wendel Prof. Dr. Peter Loos: Institute for Information Systems Prof. Dr. Wolfgang Maaß: Smart Service Engineering Prof. Dr. Philipp Slusallek: Agents and Simulated Reality Prof. Dr. Dr. h.c. mult. Wolfgang Wahlster: Intelligent User Interfaces Bremen Site Prof. Dr. Rolf Drechsler: Cyber-Physical Systems Prof. Dr. Frank Kirchner: Robotics Innovation Center (RIC) Prof. Dr. Joachim Hertzberg: Plan-Based Robot Control, RIC Branch Office Osnabrück Project Office Berlin Prof. Dr. Christoph Igel: Educational Technology Lab Prof. Dr. Gesche Joost: Interactive Textiles Prof. Dr. Volker Markl: Intelligent Analytics for Massive Data Prof. Dr. Sebastian Möller: Language Technology N Living Labs Testing, evaluation, and demonstration of innovative technologies in comprehensive application scenarios Advanced Driver Assistance Systems Living Lab, Bremen Ambient Assisted Living Lab, Immersive Quan- tified Learning Lab (iQL), Innovative Retail Lab, Ro- botics Exploration Lab, Smart City Living Lab, Smart Factory, smart office space N Competence Centers Coordination of research activities in particular areas Ambient Assisted Living, Autonomous Driving, Case- Based Reasoning, Deep Learning, Emergency Response and Recovery Management, Multimedia Analysis & Data Mining, Semantic Web, Safe and Secure Systems, Smart Agriculture Technologies, Wearable AI N N N N N N International Scientific Advisory Board Bi-annual evaluation of publically funded projects Prof. Dr. Andreas Butz, Ludwig-Maximilians- Universität, München, Chairman Leading-Edge Research DFKI is the only German institute for computer science to participate in each of the three leading-edge research clusters: Cluster of Excellence “Multimodal Computing and Interaction” funded by the German Research Foundation (DFG) Leading-Edge Cluster “Software Innovations for the Digital Enterprise” funded by BMBF European Institute of Innovation and Technology (EIT Digital) Research Associations Campus Automatisierung und Digitalisierung, FIWARE, Science & Innovation Alliance Kaiserslautern and others Promoting Young Talent DFKI is a founding member and core partner of the Software Campus to promote managerial talent in the IT industry Academic Chairs 96 former staff members have been appointed professors at universities in Germany and abroad Spin-offs 84 spin-off companies have created more than 2.500 highly skilled jobs Committees and Academies DFKI is represented by its scientific directors on numerous committees and academies: N N N Scientific and Government Committees Big Data Value Association, Brazilian Institute of Robotics (BIR),Center of Innovation Program of the Japanese Ministry of Education (COI), Feldafinger Kreis, Informationstech- nische Gesellschaft (ITG), Management Board of the Inter- national Computer Science Institute in Berkeley, Münchner Kreis, National Institute of Informatics (NII, Tokio), Super- visory Board of Verband der Elektrotechnik Elektronik Infor- mationstechnik e.V. (VDE), Program Committee of the Na- tional Aeronautics and Space Research Centre DLR, Steering Committee of the German Informatics Society (GI), and others Business Committees Deep Sea Mining Alliance (DSMA), Digital Stationery Con- sortium, Flexible Factory Partner Alliance (FFPA), 5G Alliance for Connected Industries and Automation (5G-ACIA), and others Scientific Academies Academy of Sciences and Literature, Berlin-Branden- burg Academy of Sciences, National Academy of Science and Engineering, German National Academy of Sciences Leopoldina, European Academy of Sciences, Royal Swe- dish Academy of Sciences, and others 8 1 0 2 , 7 1 i a M f o s A