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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Panda et al. (2024) studied this question.
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