New broadcasting technologies driven by artificial intelligence (AI) are being introduced to the broadcasting workflow. These technologies are intended to…
AI-specific
The development and application of federated machine learning are facing the critical challenges about how to balance the tradeoff among…
IEEE P3193
Recommended Practice on Large-scale Pre-trained Deep Learning Model Application Framework
This recommended practice provides a framework for the use of large-scale pre-trained deep learning models, including approaches, taxonomies, related roles,…
This standard establishes a comprehensive framework for mitigating security risks, privacy leaking in the development, deployment, and use of generative…
This standard provides definitions, terms, frameworks, and general requirements for systems that apply pre-trained large language models (LLM) in the…
This recommended practice provides a holistic framework for AI foundation models. The framework allows sharing of the common computing resources,…
The recommended practice outlines a process model that leverages artificial intelligence imaging and data processing technologies for improved emissions information…
This standard specifies a domain-specific architecture for Large Language Models (LLMs) Management Platforms that includes: functional, service, and deployment requirements.…
IEEE P3462
Recommended Practice for Using Safety by Design in Generative Models to Prioritize Child Safety
This recommended practice follows a safety by design approach by providing recommendations for developing, deploying, and maintaining generative artificial intelligence…
This standard defines and provides criteria to measure the capabilities of foundation models. The standard focuses on measurable and objective…
This standard addresses the evaluation of safety, explainability, and stability of algorithms implementing autonomous driving levels, as defined by SAE…
This standard defines a comprehensive framework for federated machine learning of semantic information agents. It targets two primary layers: ⢅