Creating intelligent cyberinfrastructure for democratizing AI

IF 2.5 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Ai Magazine Pub Date : 2024-03-10 DOI:10.1002/aaai.12166

Dhabaleswar K. Panda, Vipin Chaudhary, Eric Fosler-Lussier, Raghu Machiraju, Amit Majumdar, Beth Plale, Rajiv Ramnath, Ponnuswamy Sadayappan, Neelima Savardekar, Karen Tomko

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Abstract

Artificial intelligence (AI) has the potential for vast societal and economic gain; yet applications are developed in a largely ad hoc manner, lacking coherent, standardized, modular, and reusable infrastructures. The NSF-funded Intelligent CyberInfrastructure with Computational Learning in the Environment AI Institute (“ICICLE”) aims to fundamentally advance edge-to-center, AI-as-a-Service, achieved through intelligent cyberinfrastructure (CI) that spans the edge-cloud-HPC computing continuum, plug-and-play next-generation AI and intelligent CI services, and a commitment to design for broad accessibility and widespread benefit. This design is foundational to the institute's commitment to democratizing AI. The institute's CI activities are informed by three high-impact domains: animal ecology, digital agriculture, and smart foodsheds. The institute's workforce development and broadening participation in computing efforts reinforce the institute's commitment to democratizing AI. ICICLE seeks to serve as the national nexus for AI and intelligent CI, and welcomes engagement across its wide set of programs.

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创建智能网络基础设施，实现人工智能民主化

人工智能（AI）具有为社会和经济带来巨大收益的潜力，但其应用在很大程度上是临时开发的，缺乏连贯、标准化、模块化和可重复使用的基础设施。由国家自然科学基金资助的智能网络基础设施与环境中的计算学习人工智能研究所（ICICLE）旨在从根本上推进边缘到中心的人工智能即服务（AI-as-a-Service），通过跨越边缘-云-高性能计算连续体的智能网络基础设施（CI）、即插即用的下一代人工智能和智能 CI 服务，以及致力于实现广泛可及性和广泛效益的设计来实现。这种设计是研究所致力于实现人工智能民主化的基础。该研究所的 CI 活动以三个具有重大影响的领域为基础：动物生态学、数字农业和智能粮仓。研究所的劳动力发展和扩大计算工作的参与加强了研究所对人工智能民主化的承诺。国际集成电路创新中心致力于成为人工智能和智能 CI 的国家中心，并欢迎参与其广泛的项目。

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来源期刊

Ai Magazine 工程技术-计算机：人工智能

CiteScore

3.90

自引率

11.10%

发文量

审稿时长

>12 weeks

期刊介绍： AI Magazine publishes original articles that are reasonably self-contained and aimed at a broad spectrum of the AI community. Technical content should be kept to a minimum. In general, the magazine does not publish articles that have been published elsewhere in whole or in part. The magazine welcomes the contribution of articles on the theory and practice of AI as well as general survey articles, tutorial articles on timely topics, conference or symposia or workshop reports, and timely columns on topics of interest to AI scientists.