Conveners
🔀 Data & Ethics
- Kilian Schwarz
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Merve Nazlim Agaras (Brookhaven National Laboratory (BNL))27/08/2026, 11:00Datasets & Ethics
The Tokenized Representations for Energy-frontier AI Searches via Understanding and Reasoning (TREASURE) project aims to make high-energy physics collider data usable by modern AI methods through standardized tokenized representations. Collider experiments produce rich datasets in different, experiment-specific formats, which limits cross-experiment analysis and the reuse of legacy data....
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Caterina Doglioni (University of Manchester)27/08/2026, 11:10Datasets & Ethics
The petabyte-scale data generated by High Energy Physics (HEP) experiments presents a significant storage challenge. We present the Bytewise Online Autoregressive (BOA) Constrictor, a new pseudo-streaming lossless neural compressor built upon the Mamba state space model. BOA achieves competitive compression ratios across diverse structured HEP datasets, matching or exceeding LZMA, ZSTD and...
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Gianluca Inguglia (MBI Vienna), Dr Tomislav Andric (GSSI)27/08/2026, 11:20Datasets & Ethics
The Einstein Telescope (ET) Collaboration, the European third-generation flagship experiment for gravitational wave searchs, has recently launched a new cross-board division, AI-for-ET, with the aim to explore challenges and opportunities for ET related to the adoption and implementation of AI workflows into the activities of the collaboration. In this talk we will povide an overview of the...
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Arantza Oyanguren (IFIC - CSIC/UV)27/08/2026, 11:30Datasets & Ethics
Artificial intelligence, heterogeneous computing, and scientific software are rapidly transforming the way research is conducted. To address these challenges in a coordinated manner, the Spanish Network on Advanced Computing for Fundamental and Applied Physics (COMCHA) was established approximately a decade ago. Since then, the network has evolved from a collaborative initiative of LHC groups...
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