Skip to content
Q5/21AI MULTIMEDIA
STANDARDS INDEX

THEMATIC MAP · 01—09

Nine themes connecting AI multimedia

From foundational capabilities, platforms and computing power to agents, multimedia systems and industry applications. Each theme offers a path into the standardization work.

Based on the nine ITU Q5/21 themes
017 catalog records

Foundation Models Evaluation & Assessment

Explore how foundation models are tested, compared and assessed, from general capabilities to multimodal tasks.

Foundation model / Benchmarking
0225 catalog records

Foundation Model Platforms & Engineering Capabilities

Explore the engineering capabilities of foundation model platforms across data preparation, training, deployment and operation.

Model platform / Data annotation
037 catalog records

AI Agents

Explore agents, their collaboration and applications through perception, memory, planning and tool execution.

Agents / Memory
045 catalog records

Hardware & Computing Power Benchmark

Understand computing benchmarks and energy-efficiency measurements through processors, clusters and interconnect architectures.

Computing power benchmark / DNN processor
053 catalog records

Embodied AI

Connect model capabilities with perception and action in the physical world, and explore system frameworks, data and testing.

Embodied AI / Teleoperation
0612 catalog records

Generative AI & Multimedia Processing

Explore text, audio and multimodal generation applications, alongside retrieval augmentation and media processing systems.

AIGC / RAG
0710 catalog records

Digital Human Systems

Understand digital human systems and interactions, from appearance, voice and motion to platforms and interfaces.

Digital humans / Rendering
0813 catalog records

Federated Learning & Distributed AI

Explore model collaboration across participants and the architecture and evaluation of device-edge-cloud systems.

Federated learning / Participants
0918 catalog records

Vertical Industry & Knowledge Engineering

Explore industry scenarios through domain data and knowledge organization, connecting practical problems to standardization.

Knowledge engineering / Domain-specific dataset

Questions answered from ITU sources