The CODAI workshop coalesces the emerging energy in the AI compiler communities and AI accelerator communities focusing on Edge AI in both academic and industrial research. Original technical research submissions as well as submissions from industry and applications on, but not limited to, the following topics are invited:

● Optimization techniques of neural networks on embedded edge systems: compression, pruning,
quantization techniques, hardware/compiler-aware neural architecture search, etc.
● Performance estimation of neural networks on embedded systems: virtual prototyping,
surrogate modeling, profiling etc.
● Compilers for Edge AI: partitioning, mapping, retargeting, intermediate representations, for
heterogeneous systems and architectures, μC, DSP etc.
● Code-generation and compiler-backends for AI accelerators - especially for RISC-V and
beyond-von-Neumann AI accelerators is appreciated
● Applications: processing of embedded vision, sensor signal processing, novel brain-inspired algorithms for Edge AI etc.