This school and conference is dedicated to teaching key principles of edge intelligence on FPGA-based heterogeneous devices, focusing on real-time processing near data sources and applications in scientific instrumentation.

Modern scientific instruments require online data acquisition systems capable of real-time, parallel processing to reduce data storage and accelerate analysis. Edge intelligence on reconfigurable FPGA-based platforms combines software flexibility with hardware performance for efficient, responsive operation. Through lectures, hands-on sessions, and research presentations, participants will gain practical experience with edge-based solutions, open-source tools, and heterogeneous hardware platforms. The program equips attendees to design and deploy intelligent instrumentation for advanced scientific applications

Research abstracts: Applicants are encouraged to submit a brief research abstract on applications of edge intelligence for an oral presentation. A limited number of abstracts will be selected for contributed talks. Please use the ICTP template available for download below.

Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee.