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Find our latest news, statements and publications from the Plattform Lernende Systeme here.

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Sustainable mobility with AI: How to create sustainable business models for travel and transport

Artificial Intelligence (AI) can help to intelligently network transport systems, making them more flexible, economical and sustainable. This is accompanied by completely new business models. For an intelligently networked transport area to succeed, AI-based mobility platforms must connect companies of all sizes and sectors. This is the central result of a current white paper of Plattform Lernende Systeme. The authors show how travel and transport companies can adapt their business to the digital age and present possible AI-based solutions - from intelligent ports to last mile delivery robots and valet parking. They outline the framework conditions to be created in order to realise sustainable AI business models in the mobility sector.

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Certification of AI: Plattform Lernende Systeme names test criteria

Artificial Intelligence (AI) is already used in many industries. To exploit its economic and social potential, it is essential that people trust AI systems and the processes and decisions associated with them. Certification of AI systems can help to increase trust in the technology. It is important to choose the right level of certification in order to maintain the innovative strength of Germany as a business location. In a current white paper, Plattform Lernende Systeme shows when and according to which criteria AI systems should be certified and how an effective testing infrastructure can be designed.

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Sustainable with AI: Plattform Lernende Systeme takes a stand

The Corona crisis is driving digital change and thus the use of Artificial Intelligence (AI). AI systems make an important contribution to crisis management. However, the pandemic also reveals where they are not yet able to develop their full social and economic potential. In a position paper, the steering committee of Plattform Lernende Systeme formulates approaches for the future-oriented design of AI in Germany and Europe in order to be able to better meet future crises and to strengthen competitiveness. Trustworthy, certifiable AI solutions, efficient, secure data rooms and infrastructures as well as AI competencies are necessary.

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Good change management: How AI becomes successful in companies

Artificial Intelligence (AI) will change the everyday working lives of many employees. The use of AI systems in companies offers many opportunities for both employees and companies. At the same time, the introduction of AI poses challenges for all those involved - such as the handling of personal data or the humane design of working conditions. A current white paper of Plattform Lernende Systeme shows by means of concrete solutions and practical examples, how companies introduce AI systems both in terms of employees and economic success and how change processes can be successful.

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Competencies and sovereign infrastructure: How successful AI is created with Data Science

Artificial Intelligence (AI) is the next stage of digitisation and promises great benefits for the economy and society. The basis for successful AI applications is data. In order to exploit the potential of Artificial Intelligence, comprehensive data management is needed to make the available data accessible in the first place. A current whitepaper of Plattform Lernende Systeme shows the importance of the interdisciplinary research branch Data Science as a key discipline for science as well as economy and names options for action. The experts suggest that knowledge of data management should also be taught in courses of study that are not related to IT and in schools and recommend an independent data infrastructure.

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Something with AI and data: Plattform Lernende Systeme gives overview of study programmes

Artificial Intelligence (AI) is considered a key technology of the future and will increasingly become part of industrial and private software applications. Closely linked to the development of AI systems is the preparation and analysis of existing data, called data science. This is a future-oriented field of work for high school graduates. The interactive AI map of Plattform Lernende Systeme now shows at which universities in Germany they can find courses of study that focus on AI and data science or only deal with some of them.

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3 Questions for Kai-Uwe Sattler

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3 Questions for Kai-Uwe Sattler

Medical assistance systems, software for fraud detection or the predictive maintenance of industrial plants promise great benefits. Co-Author Kai-Uwe Sattler, Professor of Databases and Information Systems at the TU Ilmenau, explains why it is important to have the "right" data, what is meant by data engineering and what skills data science experts need. He is a member of the working group "Technological Pioneers and Data Science" of the Plattform Lernende Systeme and co-author of the white paper "From Data to AI".

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Sovereignty and cooperation: Towards a strong European AI ecosystem

The current corona crisis is accelerating digitisation in the economy and society - and thus also the use of artificial intelligence (AI). However, the pandemic is also revealing the weaknesses of digitisation in Europe: where data as a basis for AI is lacking, where bottlenecks in data processing become apparent, the technology cannot develop its full potential. The three-day European Big Data Value Forum 2020, which opened yesterday as part of the German EU Council Presidency, will focus on how secure and high-performance data rooms and infrastructures can be realised across Europe and how successful, trustworthy AI can be created from Europe on this basis. Plattform Lernende Systeme is a partner of this year's forum.

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AI in medicine and care: patients see more opportunities than risks

Artificial Intelligence (AI) can improve health care and support nurses and doctors in diagnoses and therapy decisions. Patient representatives see the use of AI-based assistance systems in medicine and nursing predominantly as an opportunity. This is the result of a qualitative survey, which Plattform Lernende Systeme presents in a current conference report. The majority of those questioned hope for more personalised treatment and a more comprehensive and faster diagnosis. The patient representatives name the misuse of their data and incorrect or discriminatory decisions made on the basis of AI systems as risks.

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Develop and apply AI responsibly: Plattform Lernende Systeme publishes guide

Artificial Intelligence can make our everyday life easier and help to solve global challenges. To what extent AI-based systems are actually used depends largely on whether people trust the technology. Ethical values and principles play a central role here. Plattform Lernende Systeme has now written a guideline and specifies requirements for responsible AI development and application in companies.

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3 Questions for Jessica Heesen

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3 Questions for Jessica Heesen

Artificial Intelligence promises many beneficial applications. The extent to which these are actually realised depends largely on whether people have confidence in the technology. What challenges arise for the responsible development and application of AI systems? According to which criteria should they be implemented? And what can companies do to apply AI without discrimination? Answers to these questions can be found in a guideline that was developed by the IT Security, Privacy, Law and Ethics working group of Plattform Lernende Systeme under the direction of Jessica Heesen.

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AI for SMEs: Plattform Lernende Systeme delivers guidelines

The digital age is changing production processes and value chains worldwide - and thus poses great challenges for companies. Small and medium-sized enterprises (SMEs) in particular are often unaware of the data treasures they have at their disposal in their operations - and how these can be harnessed using methods of Artificial Intelligence (AI) and machine learning. Plattform Lernende Systeme shows small and medium-sized enterprises with a special web offer (in German) how they can benefit from the use of Artificial Intelligence and where they can find information, public funding and practical support.

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How Corona is changing our approach to Artificial Intelligence

The corona crisis accelerates digitization. Home offices, video conferences and learning platforms are part of our so-called "new normality". However, the challenges of digitization can also be viewed as if under a magnifying glass in the pandemic. How do we deal with the risks for data protection and IT security, for example? What impact will the pandemic have on our use of technology? And will we make greater use of Artificial Intelligence in our everyday lives? Experts from Plattform Lernende Systeme and acatech discussed these questions with citizens at the Political Academy Tutzing from September 9 to 10.

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AI in Germany: Extended map provides overview of research, applications and transfer

Which AI applications are already in use in Germany today? Where is research being conducted into the fundamentals and applications of Artificial Intelligence? And who supports companies in the introduction of AI in their operations? The continuously expanding Map on AI of Plattform Lernende Systeme provides an overview of AI applications, research institutions and transfer centres in Germany - now also in an English version.

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Communicating knowledge to AI - Web-Talk about practical experiences

Applications of Artificial Intelligence (AI) are finding their way into more and more areas of life. At the same time, many people are still not quite clear about what is behind the technology. How can the functioning, applications, opportunities and challenges of Artificial Intelligence (AI) be successfully communicated to a broad public? This question was the focus of a web-talk to which the Bavarian Research Institute for Digital Transformation (bidt) also invited representatives of the Plattform Lernende Systeme on July 17, 2020.

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3 Questions for Svenja Falk

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3 Questions for Svenja Falk

Companies must enrich their physical products with intelligent services and change their business models accordingly in order to remain internationally competitive. This requires new forms of cooperation in so-called digital value-added networks. Svenja Falk, Managing Director at Accenture Research, explains the advantages of these networks and why data- and AI-driven applications are also interesting for SMEs.

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Best practice for companies: How to turn data into successful business models

From intelligent failure forecasts for production lines to data-based monitoring in greenhouses and AI-controlled hand prostheses - Plattform Lernende Systeme uses a total of 13 practical examples from SMEs and industry to illustrate in its current report how new business models can be developed from data. The study shows: Collaboration and the sharing of data, technologies and skills in businessnetworks will be essential for companies in the future if they are to remain competitive in a digitalised economy.

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Web-Talks on the transformation of the economy

In the coming years, Artificial Intelligence (AI) will fundamentally change both entrepreneurial business models and many jobs - in large corporations as well as in medium-sized companies. This is because the intelligent linking of corporate data will enable new products and services to be developed and processes to be optimised. Learning assistance systems can support employees individually in their work. Where we stand on the way to an AI-supported economy and what challenges this poses for entrepreneurs and employees was discussed by experts from Plattform Lernende Systeme in two web-talks with virtual guests on 6 July.

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3 Questions to Olga Mordvinova

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3 Questions for Olga Mordvinova

In the age of digitalisation, data are considered treasures, the value of which many companies are not yet aware of. Through Artificial Intelligence and Machine Learning, they can be made usable - even for small and medium-sized companies. Olga Mordvinova, founder and managing director of the AI start-up incontext.technology GmbH, explains how intelligent data analysis can support them in improving existing processes or developing new business models.

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Dialogue with citizens: Data protection as the highest good?

Who protects our data? Who decides what is private and whether there is a right to data ownership? These questions were discussed by Claudia Eckert from the Technical University of Munich and Jörn Müller-Quade from the Karlsruhe Institute of Technology (KIT) - both members of Plattform Lernende Systeme - on June 30th at acatech on Tuesday via Zoom with the guests who were connected. The event was held for the first time together with vhs.wissen live and the Bavarian Adult Education Association.

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Criteria for AI in the company: How the cooperation with employees is successful

The use of Artificial Intelligence (AI) in the world of work fundamentally changes the division of tasks between man and machine. Learning AI systems can perform increasingly complex tasks independently and work hand in hand with the employees. A current whitepaper shows how the division of labour between man and AI can be shaped in the interest of the employees.

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3 Questions to Sören Kerner

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3 Questions for Sören Kerner

Logistics is a highly complex and networked system, which is today still mostly optimized manually, both within and across companies - and is quickly impaired in the event of unforeseen events. Sören Kerner, head of the Automation and Embedded Systems department at the Fraunhofer Institute for Material Flow and Logistics IML, explains how logistics processes can be optimized with the help of AI and what obstacles currently stand in the way.

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What is, can and may Artificial Intelligence? - Advanced training for teachers on Digital Day 2020

Artificial Intelligence has long since arrived in the everyday lives of many people. But what is AI anyway, what developments and applications can be expected and what questions does this raise for society? On the occasion of the nationwide Digital Day on June 19, the Plattform Lernende Systeme, acatech and the Bayerische Landeszentrale für politische Bildungsarbeit invited to a virtual advanced training for teachers on the topic of AI.

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Strengthening the resilience of our economy and society: Plattform Lernende Systeme emphasises contribution of AI and digitisation

The corona pandemic poses unprecedented challenges for the economy and society. Solutions and strategies are needed to overcome the current crisis and to create a "New Normal" in the post-crisis phase. The Steering Committee of Plattform Lernende Systeme discussed the potential of digitisation and Artificial Intelligence (AI) in its seventh session, which was held as a web conference. Further topics were the current work priorities of the platform.

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Certification of AI Systems: Plattform Lernende Systeme names Challenges

Artificial Intelligence (AI) is already used in many industries. In order to exploit its economic and social potential, it is essential to strengthen trust in AI systems and the processes and decisions associated with them. A possible key prerequisite for this is the certification of AI systems. The benefits it promises and the demands it makes in terms of technical implementation, public welfare and maintaining innovative strength are outlined by experts from the Plattform Lernende Systeme in a discussion paper. It provides an overview of existing certification projects in Germany and forms the basis for further discussions.

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3 Questions to Frank Kirchner

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3 Questions for Frank Kirchner

Artificial Intelligence methods can contribute in many ways to meeting current challenges of the corona pandemic. Prof. Dr. Frank Kirchner, head of the Robotics Innovation Center at the Bremen site of the German Research Center for Artificial Intelligence (DFKI), provides an overview of potential applications, practical limitations and important research priorities. 

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3 Questions for Thomas Schauf

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3 Questions for Thomas Schauf

Thomas Schauf, Senior Expert Public and Regulatory Affairs at Deutsche Telekom AG, together with other members of Plattform Lernende Systeme, has examined data management and IT security when using AI in medicine in a current white paper. In our interview he explains how patient data can be protected and how access to sensitive information can be regulated.

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3 Questions for Katharina Morik

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3 Questions for Katharina Morik

How can Europe move forward in the global race for technological leadership in Artificial Intelligence? Katharina Morik, Professor for Artificial Intelligence at the TU Dortmund University and member of the Plattform Lernende Systeme, coordinates the cooperation of the AI competence centres in Germany and France on the German side. In our interview, she explains why European countries need to join forces in AI research.

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3 Fragen an Ulf Brefeld

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3 Questions for Ulf Brefeld

Data Scientists are desperately sought. The Gesellschaft für Informatik e.V. (Society for Computer Science) has defined the skills that need to be taught at colleges and universities, but also through further education courses. (GI) in cooperation with Plattform Lernende Systeme. Co-author Ulf Brefeld from the Leuphana University of Lüneburg explains why the target groups are very different.

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3 Fragen an Susanne-Boll-Westermann

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3 Questions for Susanne Boll-Westermann

Digitisation is not an end in itself for SMEs, but a prerequisite for them to operate successfully in an increasingly networked economy. Many small and medium-sized companies still lack clear ideas about how they should approach the future topic of Artificial Intelligence for themselves. Susanne Boll-Westermann from the University of Oldenburg explains which questions they should ask themselves and why networking with other players is so important.

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Andreas Liebl

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3 Questions for Andreas Liebl

The intelligent use and linking of data enables new forms of entrepreneurial cooperation and completely new business models. In the future, products and services can be adapted to the individual wishes and needs of customers. This raises the question for companies: How can they use AI for their business or develop new AI-based business models? Our member Andreas Liebl provides answers to these questions.

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Plattform Lernende Systeme’s extended map provides an overview of Germany’s AI credentials

When the German Federal Government published its National Strategy for AI, it provided a framework for establishing the international competitiveness of Artificial Intelligence made in Germany. To coincide with this, Germany’s federal states are also driving forward the development and application of AI. Putting the knowledge gained from research into practice is a vital factor in commercial success. The AI map created by Plattform Lernende Systeme extends this initiative’s comprehensive overview of AI applications and research institutions, indicating the federal states’ strategic goals and the locations where regional transfer hubs are overseeing implementation.

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The race in IT security – PLS highlights opportunities and risks of Artificial Intelligence

Artificial Intelligence (AI) will improve the security of IT systems in the future. In the hands of cybercriminals, on the other hand, it opens up whole new avenues of attack for threatening IT security. The AI systems themselves also have to be protected from manipulation. The “Artificial Intelligence and IT security” white paper published by Plattform Lernende Systeme for Hannover Messe 2019 analyses the dynamic between IT security and AI. The authors, who are drawn from the fields of business, science and public authorities, call on small and medium-sized enterprises and IT specialists in particular to help build up core skills.

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Elsa A. Kirchner

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3 Questions for Elsa A. Kirchner

Self-learning systems will penetrate our everyday life in the coming years, and skilled workers are already desperately needed. Reason enough for young people to think about doing "something with AI" in their careers. Our member Elsa A. explains why the topic is fascinating and what is important in AI development. Kirchner on the occasion of the nationwide Girl's Day.

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A brief history of AI – PLS launches explanatory film

To mark the start of “Year of Science 2019 – Artificial Intelligence”, Plattform Lernende Systeme is tracing the development of Artificial Intelligence (AI) since its earliest days. A five-minute explanatory film illustrates the different stages of the technology’s development, milestones in AI applications and the challenges that lie ahead.

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Regina Ammicht Quinn

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3 Questions for Regina Ammicht Quinn

Regina Ammicht Quinn, spokeswoman of the International Centre for Ethics in the Sciences and Humanities (IZEW) at the Eberhard Karls University of Tübingen, explains in an interview on the occasion of International Women's Day why diversity in AI research and development is an important prerequisite for gender equality and what is still needed to achieve this.

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Holger Hanselka
©Andrea Fabry

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3 Questions for Holger Hanselka

Phishing mails, false online requests or fake news - on Safer Internet Day the focus is on security in the network and of IT systems. In an interview, Holger Hanselka, steering committee member of Plattform Lernende Systeme and President of KIT, explains how AI can improve IT security and where it opens up entry points for new threats.

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Using AI to fight lung cancer – application scenario from Plattform Lernende Systeme

Cancer patients should be able to benefit more swiftly from research findings. This is the aim behind the National Decade Against Cancer, which was recently launched by the German Federal Ministry of Education and Research (BMBF). In its latest application scenario, Plattform Lernende Systeme demonstrates how Artificial Intelligence (AI) will be able to improve the recovery chances of cancer patients in the near future.

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Plattform Lernende Systeme at the Digital Summit – harnessing Artificial Intelligence for growth and better quality of life

Germany has the potential to become a sustainable hub for innovative Artificial Intelligence where self-learning systems ensure growth and better quality of life. At the Digital Summit organised by the German Federal Ministry for Economic Affairs and Energy, the panel of experts from Plattform Lernende Systeme, demonstrated that achieving this goal calls for industry, SMEs, researchers and politicians to work together.

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The German federal government’s AI strategy – Plattform Lernende Systeme organises public debate

Germany’s federal government today finalised its Artificial Intelligence (AI) strategy. The goal is to establish “AI made in Germany” as a seal of quality for conscientious AI and make up ground lost to international competitors. Plattform Lernende Systeme – Germany’s platform for Artificial Intelligence – is to contribute to broad societal dialogue on AI.

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Plattform Lernende Systeme is broadening the public debate on AI

Plattform Lernende Systeme is bringing the societal debate on Artificial Intelligence to a wider audience. The decision to do so was taken by the Steering Committee of the platform – an initiative of the German Federal Ministry of Education and Research (BMBF) – on 30 October in Berlin.

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Change to joint leadership: Karl-Heinz Streibich joins the leadership team at Plattform Lernende Systeme

Dieter Spath, President of acatech – the German National Academy of Science and Engineering, is stepping down from his position as Co-Chair of Plattform Lernende Systeme, to be succeeded by Karl-Heinz Streibich, who has been at the helm of the Academy alongside Spath since May 2018.

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Platform supports German Federal Government’s AI strategy

The international artificial intelligence (AI) race is well under way. With the help of a national AI strategy, the German Federal Government aims to pool the country’s resources and make it the world’s leading AI location.

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Plattform Lernende Systeme – having the courage and business ideas to lead the way in AI technology

When it comes to artificial intelligence (AI) Germany has very good prospects on the international stage. If it can quickly turn its well-established head start in research into applications focusing on practical uses, Germany can take the lead in the AI race. This was the message that Plattform Lernende Systeme, Germany’s platform for artificial intelligence, delivered at this year’s CEBIT.

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Putting AI centre stage – Plattform Lernende Systeme brings combined expertise to CEBIT

Artificial Intelligence (AI) is becoming a driving force of digitalisation. Experts from Plattform Lernende Systeme – Germany’s platform for Artificial Intelligence – are at this year’s CEBIT to discuss how the use of AI is changing work, business models and everyday life. Trade fair visitors can also stop by the stand run by the Federal Ministry for Education and Research (BMBF) to try out self-learning systems for themselves.

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Plattform Lernende Systeme aims to put Germany at the top of the artificial intelligence league table

Germany is leading the way when it comes to researching and developing artificial intelligence (AI). If this expertise can be put to use quickly, Germany can secure global technological leadership and drive forward the responsible use of self-learning systems both at home and abroad.

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Working life of the future: Science Year 2018 kicks off

Federal Research Minister Johanna Wanka opened “Science Year 2018 – Working life of the future” on 19 February at the Federal Ministry of Education and Research (BMBF) in Berlin.

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Self-learning systems to transform the world of work

Self-learning systems are the key to meeting the increasing requirements of productivity in an ageing society and to preserving prosperity, says Mr Dieter Spath in conclusion of his presentation on 22 January at the Munich School of Philosophy.

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Designing AI: Working groups of the Plattform Lernende Systeme present their thematic priorities

The Plattform Lernende Systeme links experts from industry and science across sectors and disciplines to achieve this aim. The heads of the platform’s seven working groups presented the priority topics of their work programmes at a meeting in Berlin on January 8.

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Facts instead of myths: Fraunhofer-Gesellschaft hosts specialist conference on artificial intelligence

Artificial intelligence (AI) and self-learning systems will become the drivers of industry in the coming years and will at the same time change many realms of society. Fraunhofer-Gesellschaft, in cooperation with Germany’s digital association Bitkom, invited stakeholders to Artificial Intelligence Day, a networking event held in Berlin on 29 November.

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Innovation boost through artificial intelligence: Platform for Learning Systems starts work

Industrie 4.0 is still shaping current developments in the economy as Germany now faces new tasks for the future: Learning Systems and Artificial Intelligence. The Federal Ministry of Education and Research (BMBF) plans to expand on this topic structurally and promote collaboration between research and industry in particular.

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BMBF launches Platform for Learning Systems

The Federal Ministry for Education and Research (BMBF) is reinforcing research on artificial intelligence and launching the forward-looking project “Learning Systems”. As a first step, a new expert platform is being established in order to improve the collaboration between research and application as well as clarify how learning systems can be useful for humans.

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Autonomous Systems: Angela Merkel and Johanna Wanka accept the High-Tech Forum’s report

Autonomous systems enable the development of self-driving cars, intelligent robots and interconnected infrastructures. Together with Reimund Neugebauer, Co-Chairman of the High-Tech Forum and President of Fraunhofer-Gesellschaft, acatech President Henning Kagermann handed over the report of the Expert Forum on Autonomous Systems to Chancellor Angela Merkel and Federal Minister for Education and Research Johanna Wanka during the CeBIT.

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