Frank Nielsen
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Grounded in AI and data analytics, this research area aims to bring intelligence to real-world systems and processes. From a cybernetics perspective, we pursue the extraction of efficient and meaningful information, connecting the results to practical applications in society and industry.
Frank Nielsen
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Takashi Isozaki
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Simulation not for predicting the future, but for shaping it. - Takahiro Sasaki
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Cybernetics Contact Center PrOject (C3PO)
A big Data Analysis Tool
An Artistic Approach to Question Our Relationship Between Human And AI Robots
Shunichi Kasahara serves as a General Co-Chair of the conferenc
AI System Could Win Nobel Prize by 2050, Says Scientist
The use of causal inference with structural models in industry
Can creativity in science be learnt? These researchers think so
Sony CSL was represented at the conference by Stefan Ratner from Paris Research.
Conversational Agents on Your Behalf: Opportunities and Challenges of Shared Autonomy in Voice Communication for Multitasking
Practically effective adjustment variable selection in causal inference
Trindade, Gabriel, Chevallier, Emmanuel, Nicolet, André and Nielsen, Frank
Fast Equivariant K-Means on SPD Matrices Using Log-Extrinsic MeansGeometric Science of Information | pages 263-270, 2025
Nielsen, Frank
Any interior point of a finite interval on the real line canbe interpreted as dual Fréchet meansnov, 2025
Bjare, Mathias Rose and Cantisani, Giorgia and Pasini, Marco and Lattner, Stefan and Widmer, Gerhard
Perceptually aligning representations of music via noise-augmented autoencodersnov, 2025