Exchange and knowledge transfer on the topic of Artificial Intelligence (AI) were the focus of the Intelligent Future Days 2020, a three-day event co-organized by the ML2R Competence Center, which brought together more than 250 participants from research, business and politics.
Over 830 registered participants from 64 countries: The Summer School on Machine Learning with restricted resources was well received by the international research community. The multi-faceted program included lectures, interactive formats and opportunities for networking and getting to know one another.
Quantum computers will profoundly change Artificial Intelligence and Machine Learning. In a study, experts explain how quantum computing works and which basic concepts and technologies are being used.
Knowledge transfer, exchange, networking: The Intelligent Future Days 2020 bring together industry and research in the fields of Artificial Intelligence and Machine Learning. The online event, which takes place from 9 to 11 September 2020, offers an interdisciplinary program with lectures, workshops, Q&A sessions and success stories.
This year’s collaborative Summer School will provide you with an insight into the latest research in Machine Learning, with a twist on resource-awareness of methods and algorithms. The online event, taking place between August 31 and September 4, 2020, will feature a mixture of pre-recorded and live sessions.
The Learning Systems platform, Germany’s platform for Artificial Intelligence, publishes an impulse paper that discusses potentials and challenges for AI certification in order to promote the development of trustworthy AI systems “made in Europe”.
In the latest issue of the Handelsblatt Journal “Artificial Intelligence”, Prof. Dr. Katharina Morik addresses the question: How do we achieve AI excellence in Germany? In a guest article, Morik calls for the expansion of AI professorships as the foundation for the systematic strengthening of AI competence centers.
Prof. Dr. Katharina Morik gave a keynote speech on the state of German-French cooperation in the field of Machine Learning. The occasion was the third meeting of the working group “Disruptive Innovations and Artificial Intelligence” (AG DIKI) in the European Parliament.
Raphael Fischer presented his research on the completion of spatio-temporal datasets at a book launch. Using Machine Learning techniques, Fischer reconstructed satellite images in which parts of the earth’s surface were obscured by clouds.
The ML2R will be funded with an additional 8 million Euros until the end of 2022. As a result, the research profile of the competence center will be extended to include Machine Learning on quantum computers and trustworthy Machine Learning.