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AI4EU Web Café : « Understanding the World with AI: Training and Validating AI Systems using Synthetic Data » (15h00)

27 novembre 2019 de 15 h 00 min

On Wednesday, November 27th, at 3 pm (CEST),  AI4EU Web Café session themed:

« Understanding the World with AI: Training and Validating AI Systems using Synthetic Data »

The Speaker is: Philipp Slusallek (DFKI), Scientific Director and Site Director, German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany.

link to the registration 

What is the Presentation about?

Artificial Intelligence (AI) systems that deal with reality need to reliably make accurate decisions even in highly complex and critical situations, in particular when human lives are at stake. However, suitable real training data is often hard to come by, especially for critical situations that hardly ever happen.Digital Reality uses AI to optimize and validate other AI systems. The approach allows to simultaneously learn models of the real world and use them for the training of AI systems by synthetically generating the needed sensor data via simulations. This approach also allows us to systematically validate AI systems by automatically generating test cases from our models that specifically address critical aspects.Validation with real data also allows us to continuously identify limitations in the models and adapt them to the dynamic changes in the real world.


Philipp Slusallek is Scientific Director at the German Research Center for Artificial Intelligence (DFKI), where he is leading the Research Area “Agents and Simulated Reality” since 2008, is the Site Director for DFKI Saarbrücken, and a member of the executive board of DFKI. He has been Director for Research at the Intel Visual Computing Institute, a central research institute of Saarland University co-funded by Intel from 2009 to 2017. He is principal investigator at the Saarbrücken Cluster of Excellence on “Multimodal Computing and Interaction”. At Saarland University he has been a full Professor of Computer Graphics since 1999. Before coming to Saarland University, he was a Visiting Assistant Professor at Stanford University, USA. He studied physics in Frankfurt and Tübingen (Diploma/M.Sc.) and got his Ph.D. in Computer Science from Erlangen University, Germany.

Philipp Slusallek has done pioneering work in the areas of real-time ray tracing and lighting simulation, high-performance graphics hardware and software, novel high-performance compiler technology, massive model visualization, distributed media applications, and novel 3D tomographic reconstruction. His current research focus is the use of AI to optimize and safeguard other AI systems through “Digital Reality”: Using AI to learn accurate models of the real world, compose them to describe relevant (possible critical) scenarios and synthesize through simulation the sensor data that an AI system would perceive in the real world. This synthetic data can then be used to train AI systems as well as – even more importantly – validate their functionality and well as their (ethical) behaviour.

 Philipp Slusallek has been awarded “Fellow of the Eurographics Association” for his work in Visual Computing in 2013 and he has been member of acatech (the German National Academy of Science and Engineering) from 2017. Since 2018 he is also a member of the EU High-Level Expert Group on Artificial Intelligence, jointly advising the European Commission. He founded four spin-off companies: Pxio, Motama, Gamma, and inTrace, which received the European IST Innovation Award in 2006. His research on Display as a Service received the CeBIT Innovation Award 2013 as well as the Land of Ideas Award 2015 and is now commercialized through Pxio.

 His research interests cover a wide variety of areas at the intersection of Graphics, Simulation, Artificial Intelligence, and High-Performance Computing, with a particular focus on Systems Research. Specific research topics include real-time realistic graphics, novel rendering and lighting simulation algorithms including radar, motion synthesis, deep learning, semantics and multi-agent technology, computational 3D imaging, and others.

 He has co-authored over 200 publications and 4 patents in the context of visual computing and artificial intelligence. He has been associate editor of IEEE Transactions on Visualization and Computer Graphics and has served on the program committees and as reviewer of many international graphics conferences, including EUROGRAPHICS, High-Performance Graphics, Graphics Hardware, EG Rendering Symposium, Symposium on Interactive Ray Tracing, Graphics Interface, Vision-Modeling- Visualization, and chaired several of these events. He is a co-founder of the IEEE Conference on Interactive Ray Tracing as well as the ACM/Eurographics conference on High-Performance Graphics.


Date :
27 novembre 2019
Heure :
15 h 00 min

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