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12/11/2026, 09:00
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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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Sanja Damjanovic12/11/2026, 14:30Lecture
Heavy-ion therapy is one of the most successful applications of nuclear and particle physics, translating decades of research in heavy-ion accelerators, beam physics, and ion–matter interactions into clinical practice.
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Pioneering work at the GSI Helmholtz Centre for Heavy Ion Research, where the first patients in Europe were treated with carbon ions, laid the foundations for the establishment... -
Zsófia Jólesz12/11/2026, 15:10Lecture
Hadron therapy is an emerging form of cancer treatment that shows to be more effective than the most widespread type of radiotherapy treatment with X-rays, due to the nature of the energy deposition of hadrons. Before the treatment, there is a need for the imaging of the patient, which is usually done by using X-ray CT. However, with the usage of the conventional X-ray CT, a conversation of...
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Tamas Hegedus (Semmelweis University)12/11/2026, 16:05
Our objective is to develop an flexible in silico pipeline for designing small protein binders targeting an immune checkpoint receptor, aiming to overcome immune suppression and enhance cancer cell killing. Such protein design pipelines are complex, integrating multiple AI-based methods, including diffusion models, deep neural networks, and protein structure prediction tools.
We discuss the...
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Ádám Pintér12/11/2026, 16:45
The development and operation of private Artificial Intelligence (AI) capacity represents a strategic opportunity for research institutions and R&D-intensive companies to strengthen scientific excellence, technological independence, and innovation competitiveness.
Dedicated AI infrastructure enables secure processing of sensitive research data, development of domain-specific models, and...
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Bence Bakó (Wigner RCP)13/11/2026, 09:00
Sampling-based quantum advantage schemes currently serve as the leading experimental demonstrations of computational tasks deemed intractable for classical devices. However, their practical significance remains a subject of intense debate as these tasks are synthetically designed to maximize classical hardness rather than to solve meaningful real-world problems. In this contribution, based, we...
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Örs Legeza (Wigner FK)13/11/2026, 09:25
light of emergent evolution in quantum technology, key industrial players allocate significant parts of their budget and resources to identify a real-world problem where quantum advantage, i.e. exponential increase in computational capacity, is expected to appear. The tense competition between quantum computing and simulations on classical hardware over the past decades has been further...
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János Lazányi (Quantum Machines Hungary)13/11/2026, 10:05
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Győző Egri (Faulhorn Zrt)13/11/2026, 11:30
In this talk, I explain how Faulhorn operates, what our goals are, and how we connect with industry, academia, and research institutes. I will highlight our past projects and spin-off companies, and detail our current work on the Csip, ZKP, MC2P and Qutility projects. Finally, I discuss how AI impacts us, how we are adopting it, and how we aim to create practical value in this new era.
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Gyorgy Feher (Faulhorn Zrt)13/11/2026, 11:55
Point defects are localized irregularities in crystals that break the lattice symmetry of the hosting material. They can potentially be used in quantum technology as a room temperature qubit. Nitrogen-vacancy center (NV center) is the most studied point defect, where in the hosting diamond crystal two adjacent carbon atoms are switched to a nitrogen atom and a vacancy (empty spot).
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The... -
Szabolcs Joczik (QCR MTÜ)13/11/2026, 12:20Lecture
As quantum computing research and teaching continue to grow, so does the material behind each result and each lesson. Reproducing a published implementation depends on having its code, the tools it was built with, and the paper that explains it together, and a single lesson often draws on several tools, from PDFs for the theory and a circuit designer such as IBM Quantum Composer to a...
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Benedek Botár (Quantum Nexus Ltd.), Bálint Farádi (Quantum Nexus Ltd.), Kornél Kemecsei (Quantum Nexus Ltd.)13/11/2026, 12:45
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András Gilyén13/11/2026, 14:10
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Adam Gali (No institute)13/11/2026, 14:35Lecture
Optically addressable electron spins in solids – point defects in diamond, silicon carbide and two-dimensional materials, and molecular spins – are leading platforms for room-temperature quantum sensing. Their development benefits from a close loop between theory and experiment: first-principles simulations on high-performance computers predict structures and spin and optical fingerprints,...
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József Mák (Wigner Research Centre for Physics)13/11/2026, 15:00
The strong hyperfine splitting of electronuclear tin-vacancy (SnV) levels in diamond has been shown to allow for optically addressable qubits with long coherence times. In this work we present a model of non-zero nuclear spin SnVs in diamond coupled to a quantised optical mode; the model corresponds to SnVs in photonic crystal cavities or optical cavities made of mirrors, realised in earlier...
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60. Learning to stop seizures in silico: a GPU reinforcement learning environment from neuron modelsMarcell Stippinger (HUN-REN Wigner FK RMI Komputációs Tudományok Osztálya)13/11/2026, 15:25
Personalized non-invasive neurostimulation is a candidate tool for closed-loop seizure control. We ask whether a reinforcement learning (RL) agent can learn when and how strongly to stimulate to stop seizure-like activity in a model network. We wrote a network of 100 coupled Morris–Lecar neurons, extended with calcium dynamics, as a TorchRL environment. Each agent step in the environment...
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Marcell Stippinger (HUN-REN Wigner FK RMI Komputációs Tudományok Osztálya)13/11/2026, 15:50
AI coding agents are becoming part of everyday scientific work. Yet every file, prompt and test output an agent reads may leave the institute. This puts intellectual property at risk, both for new research results that we may want to patent and in joint academic–industry projects. Moreover, contracts or data protection law may forbid passing sensitive data to third parties altogether. As AI...
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Dániel Ficzere (Budapest University of Technology and Economics)Lecture
Softwarized service management increasingly relies on intent-based coordination, where feasibility is assessed against noisy operational telemetry rather than static thresholds. Crisp threshold validation is brittle under this noise, causing repeated accept-reject oscillations that destabilize automated closed-loop management. We propose a fuzzy satisfaction model that replaces binary...
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