Join us to learn about the future of online data processing in the realm of giant research infrastructures ! In this 45-minutes webinar we will introduce ODISSEE, a groundbreaking initiative designed to address the data deluge generated by SKAO and CERN’s HL-LHC using frugal AI and flexible algorithms.
This flood of data paves the way for major scientific breakthroughs, but poses a crucial challenge: current digital technologies have not been purposed to process such massive data streams, and critical evidences may go unnoticed.
ODISSEE will develop innovative AI-driven real-time data processing solutions to ensure that the data products selected, reduced and curated online before being shared with scientific communities contains all actionable information needed to maximize their research’s impact.
Speakers and topics
📍 Online
📆 22 April | 14:30 CEST

Oleg Smirnov
Rhodes University & SARAO
Addressing the critical challenge of reproducibility in the context of radio interferometric data processing

Vava Gligorov
CNRS, CERN-LHCb
Introducing the ODISSEE, how the project will work across the digital continuum to ensure the data products SKAO and HL-LHC scientists rely on are trustworthy in the era of data deluge
Who should attend
🥼 Researchers and data scientists working with HL-LHC and SKAO data
📡Developers of data processing pipelines in high-energy physics and radio astronomy
👩🎓 Early-career scientists and PhD students interested in next-generation data processing techniques
🤖 Computational scientists and AI specialists focusing on big data challenges
News and events
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Launch of EU-funded project ODISSEE
The ODISSEE project, funded by the European Union, aims to develop innovative technologies and methodologies to process the unprecedented volume of...