Using AI in Dimensional Metrology

Abstract

The use of artificial intelligence in metrology became inevitable after declaring the theme of Metrology in the Digital Era on the World Metrology Day 2022. Consequently, the 27th meeting of the General Conference on Weights and Measures (CGPM) has considered the digital transformation to collect, aggregate, analyze, and interpret the networked sensor data that would be acquired during metrology applications (Draft Resolutions of the General Conference on Weights and Measures 2022). It emphasizes the secured data sharing at the international apex down to a local level at various stakeholders (i.e., governments, industry, academia, and civil society). Digitizing the International System of Units (SI) provides confidence in the accuracy and global comparability of measurements. CGPM also drafted a resolution to adopt the FAIR (Findable, Accessible, Interoperable, and Reusable) principle to develop and promote an SI Digital Framework. The framework covers (1) digital representation of the SI – dissemination of SI standards – exchange of metadata; (2) digital data exchange standards and protocols, digital certificates; and (3) digital twins to simulate the measurement process (Proceedings of the 26th meeting of the General Conference on Weights and Measures (CGPM) 2018; International Committee for Weights and Measures (CIPM) 2021). Turing’s legacy in computing is far from leaping from the equations to the phenomena, from calculation to modeling (Machinery, Computing 1950). Turing is the first to think of competing humans with computer intelligence.