Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

Journal of Beijing University of Posts and Telecommunications ›› 2024, Vol. 47 ›› Issue (4): 1-10.

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Holistic Artificial Intelligence

FENG Junlan   

  • Received:2023-12-31 Revised:2024-03-25 Online:2024-08-28 Published:2024-08-26

Abstract: Artificial intelligence ( AI ) technology represented by foundation models has achieved remarkable results, raising the overall level of machine intelligence to an unprecedented height. Foundation models, computing power, networks, and data are gradually becoming important fundamental infrastructure in the field of artificial intelligence. In order to rely on the above infrastructure to provide ubiquitous and secure social-level intelligent services, and make them as ubiquitous as water, electricity, and 5G services, with the almost zero marginal costs, the holistic artificial intelligence (HAI) technology framework is proposed and elaborated. In this framework, intelligence needs can be flexibly expressed through natural language, graphics, images, component arrangement, and other methods. Based foundational big model, HAI understands the user’s needs and forms an execution plan which includes the models, capabilities, data, and computing network resources needed to complete the tasks. HAI then deploys models and capabilities to corresponding computing network resources, flexibly schedules and jointly optimizes to meet the requirements of business. The proposed framework utilizes core technologies including big loop AI for artificial intelligence services, atomized AI capabilities, network native AI, and secure and trusty AI services.

Key words: artificial intelligence, big loop, atomization, network native, secure and trusty

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