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Blogs

ACKNOWLEDGMENT: REBECCA project is supported by the Chips Joint Undertaking and its members, including the top-up funding by National Authorities under grant agreement n° 101097224. Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the granting authority. Neither the European Union nor the granting authority can be held responsible for them.

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Prepared by Solver Machine Learning SL

Development of an open-source Deep Learning library in REBECCA and its application in defect detection for underwater structures

Prepated by Fraunhofer

Rebecca chips successfully passed tapeout

Prepared by Almende

REBECCA Use Case: Infrastructure Inspection with a Surface/Underwater Robot

Prepared by SYSGO

Bringing Trust to Edge AI: Our Progress with the REBECCA RISC-V Platform

Prepared by Exapsys

From FPGA prototype to ASIC implementation

Prepared by FORTH

Full-Custom FPGA-based AI Accelerator Architectures for Edge Computing: Crack Detection in Harbor Structures

Prepared by TUC

Leveraging Intrusion Detection in Low-Power ASICs at the Edge

Prepared by Intecs

How do you bring AI closer to the edge without compromising latency, throughput, and model fidelity?

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