aiCxM
aiCxM is a conceptual framework and software stack for artificial intelligence that aims to learn and apply unified representations across multiple data modalities, including text, images, audio, and video. It is used to describe families of models and toolkits designed to enable cross-modal reasoning, generation, and retrieval without relying on modality-specific pipelines.
The architecture of aiCxM typically comprises modality-specific encoders that map data into a shared latent space,
Applications of aiCxM span multimedia search, digital asset management, accessibility tooling, and content creation. By enabling
Evaluation often relies on standard multimodal benchmarks and metrics such as cross-modal retrieval recall, captioning quality,