Events
Lecture
Prof. Dr. Niels Taatgen, University of Groningen
The Skill-based Method of Modeling Human Intelligent Behavior
Humans are capable of performing many novel tasks with little or no instruction, contrary to machines. A possible solution – modelling a set of cognitive skills …
Lecture
Prof. Mag. Phil. Winfried Lechner, PhD, University of Athens
Natural Language Semantics and Music
Applying methods of formal linguistics to the study of music has exposed homologies between the two systems, though meaning-related aspects of music have remained understudied …
Lecture
Priv.-Doz. Mag. Dipl.-Ing. Dr. Michael Pucher, OFAI
Synthesizing Dialects, Faces, Singing Voices, Songbirds, and Famous Dead Actors
Statistical parametric speech synthesis has significantly improved the quality and flexibility of speech synthesis systems. Its uses in dialect interpolation, singing synthesis, and other application …
Lecture
Prof. Benjamin Mako Hill, BA, MSc, PhD, University of Washington
Balancing Open Participation and Information Quality in Wikipedia Using Machine Learning
The Wikimedia Foundation has developed a set of ML/AI systems that have been shaping editing behaviour on Wikipedia. How these tools have impacted the …
Lecture
Winfried Lechner lecture postponed
Due to unforeseen circumstances, we have had to postpone Winfried Lechner's talk, originally scheduled for 1 February, until Wednesday, 8 March at 18:30 CET …
Lecture series
OFAI 2023 Winter/Spring Lecture Series
OFAI is delighted to announce its 2023 Winter/Spring Lecture Series, featuring an eclectic lineup of internal and external speakers.
The talks are intended to …
Lecture
Dipl.-Ing. Martin Trapp, PhD, Aalto University
Leveraging Connections Between Deep Architectures and Bayesian Nonparametrics
The Bayesian approach to deep learning aims to encode prior knowledge into models, but defining priors is often challenging. These challenges are discussed in "Leveraging …
Lecture
Prof. Dipl.-Ing. Dr.techn. Bernhard Pfahringer, University of Waikato
Everything Changes, but Your ML Models Stay the Same?
Machine learning assumes data to be independently and identically sampled from a distribution, though in the real world this assumption rarely holds. Data stream mining …
Lecture
Mag. Dr. Stephanie Gross, MSc, OFAI
Multimodal Human–Robot Interaction in Situated Task Descriptions
Humans and robots are increasingly working together at home and in the workplace, and successful interaction depends on the robot picking up on the human's …
Lecture
Dr. Peter Hallman, MA, BA, OFAI
Comparatives in Arabic
Syrian Arabic, like English, has a syntactic constraint on the formation of clauses that describe standards of comparison. But unlike in English, the scope of …