Colloquia

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„Kritik der Künstlichen Vernunft“
Computer werden intelligenter sein als Menschen, es besteht also die Gefahr, dass die Geräte eigene Intelligenz entwickeln und die Welt dominieren werden.  - Stephen William Hawking, 2001...

CE-Seminar: "Quasistatic Field Models and Recent Developments in their Numerical Simulation Methods"
Quasistatic electromagnetic field models are considered for situations, where the shortest wave length of a problem exceeds the spatial dimensions of the problem by at least one order of magnitude. A...

Gastvortrag: Multimodal Data Analysis for Personalized Recommendation and Machine Learning
Users of social media platforms and smart devices nowadays generate millions of digital traces every day. This vast amount of user-generated content (text, audio, image, video) and user metadata...

Gastvortrag: Probabilistic Representation Learning and Scalable Bayesian Inference
Probabilistic modeling is a powerful paradigm which has seen dramatic innovations in recent years. These innovations are mainly due to variational methods, automatic differentiation, and stochastic...

Gastvortrag: SAP HANA - Architecture, Design and Scale-Out
Speaker: Dr. Alexander Boehm, SAP
In this presentation, we highlight the key motivations for building a novel, in-memory database management system at SAP.   We discuss architectural decisions, design choices, and...

Gastvortrag: Data Analysis meets Blockchain for Industry 4.0 Applications
Bela Gipp will present research projects from two of his main research areas: Data Analysis and Blockchain-based applications. First, he will give a short lecture on the foundations of blockchain...

Gastvortrag: Robust data analytics for non-independent data
While data analytics methods are becoming essential for almost any science and industry, one fundamental problem still exists: to perform well, many methods rely on high-quality data as input. In...

Gastvortrag: Adaptive Machine Learning
The vast majority of data mining/machine learning methods assumes that the whole dataset is given in advance as input to the algorithm. The underlying assumption for learning is that the...

Gastvortrag: Information-Geometric Policy Search for Learning Versatile, Reusable Skills
In the future, autonomous robots will be used for various applications such as autonomous farming, handling dangerous materials as for example decommissioning nuclear waste, health care or autonomous...

Gastvortrag: Unsupervised Learning with Text and Data
Social media data arrives in large quantities issued by many people about all kinds of topics over time and from different locations. The sheer amount of data requires automated understanding of data...

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If you know about other events at the department not listed yet, please notify us at events(a-t)informatik.tu-darmstadt.de.

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