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
Follow us
ODISSEE GPU Hackathon
The next ODISSEE GPU Hackathon will take place in Bordeaux from 12 to 15 October, bringing together project partners and technical experts to...
First ODISSEE hackathon: Exploring sustainable computing for next-generation radio astronomy
Could you briefly introduce yourself and ASTRON? My name is Chris Broekema. I am a researcher in high-performance computing at ASTRON, the...
ODISSEE Webinar: Optimizing AI Workflows on HPC – From Hyperparameter Tuning to Scientific Use Case Integration
Join us for a 60-minute webinar ! Modern AI development increasingly depends on efficient, scalable workflows that can take full advantage of...





