Frontiers in computing for artificial intelligence. (1st March 2022)

• Record Type: Journal Article
• Authors: Humble, T.S.; Perdue, G.N.; Fahim, F.; Lamm, H.; Schram, M.
• Is Part Of: Journal of instrumentation. Volume 17:Number 3(2022)
• Publication Date: 2022-03-01
• Subjects: Computing (architecture, farms, GRID for recording, storage, archiving, and distribution of data) -- Data processing methods -- Simulation methods and programs -- Analysis and statistical methods; Scientific apparatus and instruments -- Periodicals; 502.84
• DOI: 10.1088/1748-0221/17/03/C03037
• Languages: English
• ISSNs: 1748-0221

Abstract

Abstract: An emerging diversity of computational platforms offers many different approaches to adopting the paradigm of artificial intelligence to the study of electron-ion collisions. Here we review several leading candidates in this computational frontier and their workflows for experimental applications of artificial intelligence that may impact the future Electron-Ion Collider. We discuss the motivation for exploring novel methods to solve artificial intelligence and machine learning problems including with customized devices, quantum simulation, and heterogeneous computing systems. These technologies offer promising approaches to address some of the leading concerns of future computing that may impact the Electron-Ion Collider but they will require further development and testing in order to support future planning efforts.