This standard defines technical requirements for Artificial Intelligence Personal Computers (AIPCs). It includes a reference architecture, hardware, software, application interfaces, and security requirements. This standard is intended to provide guidance for the design, development, testing, deployment, and maintenance of AIPCs. The AIPC is designed to support a broad range of AI tasks, including: - Inference Operations: Functions to perform inference with pre-trained models locally, such as image recognition, speech-to-text, and natural language processing. - Lightweight Machine Learning Model Training: Functions to handle the training needs of relatively simple machine learning models, involving small datasets that do not require extensive computational resources. - Edge Computing: Support for data analysis and decision-making at the device level, reducing dependency on cloud services, improving response times, and enhancing privacy. - AI Application Integration: Compatibility with existing and future AI applications, allowing users to easily install and use a variety of AI-driven applications and services." The design goals of an AIPC are to provide a platform that can meet everyday computing needs while effectively supporting AI applications. This design takes into account current technological trends and looks towards future developments, aiming for a balance between performance, efficiency, and user experience.
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Status
- Active PAR
- PAR Approval
- 2024-12-11
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Working Group
-
AIPC - Artificial Intelligence for Personal Computer
- IEEE Program Manager
- Christy Bahn
Contact Christy Bahn - Working Group Chair
- Hongzhi tao
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