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
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
Fast Proxy Centers for the Jeffreys Centroid: The Jeffreys–Fisher–Rao Center and the Gauss–Bregman Inductive Center
Approximation and bounding techniques for the Fisher-Rao distances
Isozaki, Takashi
The use of causal inference with structural models in industryHandbook of Statistics | pages 1-49
Karwowski, Jacek and Nielsen, Frank
Hilbert geometry of the symmetric positive-definite bicone:Application to the geometry of the extended Gaussian family2025
Biferale, Lorenzo and Crociata, Alessandro and Rossi Mori, Lavinia and Chiappetta, Claudio and Bruno, Matteo
Introducing friction of space into the geography of cultural consumptionUrban Sci. | pages 316, aug, 2025