Conveners
Artificial Intelligence
- Peter Levai (WIGNER RCP)
Artificial Intelligence
- Andras Telcs
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Gianluca Inguglia (MBI Vienna - Austrian Academy of Sciences)12/11/2026, 09:05Lecture
Since the first experimental detection of gravitational waves in 2015, observations in this field have profoundly transformed our understanding of the Universe.
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In this presentation, I will offer an overview of gravitational wave science, emphasising how this field naturally operates at the interface of multiple disciplines, ranging from signal processing to astrophysics to artificial... -
Balázs Meszéna (Wigner RCP)12/11/2026, 09:45
Despite remarkable advances in artificial intelligence, modern machine learning systems still face important challenges, including reliable uncertainty estimation, robustness to distribution shifts, and efficient adaptation to new tasks. Biological intelligence offers a valuable source of inspiration for addressing these limitations.
In this talk, I will explore the connections between...
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Andras Telcs12/11/2026, 10:10
The lecture is a progress report. The foundations and work is presented of the mAI. The mAI is based on a knowledge space (KS), a local, deterministic solver and the controller of the KS extension. The KS initially equipped with a small set of concepts, relations and cognitive primitives. The solver is limited to the cognitive primitives (later schemas, procedures, operations) and concepts...
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Ceglédi Róbert (Neuron Software)12/11/2026, 11:30
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Orsolya Putz12/11/2026, 11:55
Policy documents do not just report the economy, they describe it through metaphor. The minutes of the U.S. Federal Reserve’s rate-setting committee (FOMC) say that inflation is “climbing” or that commercial paper issuance “almost dried up”. In the first case, an abstract phenomenon, inflation (the target domain), is understood in terms of a concrete experience, vertical movement (the source...
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Antal Jakovac (Wigner RCP, Department of Computational Sciences)12/11/2026, 12:20Lecture
High-dimensional time series and cross-sectional data are increasingly common in finance, economics, medicine, physics, and many other fields. Building predictive models for such systems is challenging because of the large number of potential input variables. Including too many variables may lead to unnecessarily complex models, reduced predictive performance, and difficulties in...
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Alex Velez (784𝕸)12/11/2026, 12:45Lecture
To design from the conditions under which people with disabilities are able to participate is to reconsider which demands a practice makes by virtue of how it has been organised, and what might become possible for everyone who takes part if those arrangements were open to revision. In music therapy, the time a person takes to answer a phrase may be constitutive of what we come to understand...
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