Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Learn how the AC3 Horizon Europe open-source initiative is revolutionizing astronomical data processing by automating the integration and execution of multiple data processing applications at terabyte scale. Discover how AC3 automatically selects optimal processing tools like Starlight, PPXF, or Steckmap based on incoming data types, eliminating the need for manual tool selection that traditionally slows down analysis. Explore the containerized deployment architecture that spans cloud and edge environments, ensuring efficient resource utilization and reliable performance for large-scale astronomical datasets. Understand how automated provisioning, orchestration, and workload management optimize processing time while reducing computational overhead, making it easier for researchers to extract scientific insights faster. Examine real-world applications through case studies involving astronomical datasets from observatories like Roque de los Muchachos in collaboration with the University of Madrid, and see how this AI-driven cloud-edge infrastructure is transforming the future of astronomy data processing by addressing the scalability challenges that arise as datasets continue to grow exponentially.
