Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

AI-driven process monitoring enhances the qualification of additively manufactured stainless-steel parts. By analysing high-frequency welding current and voltage signals in both the time and frequency ...

Continued scaling of integrated circuits to smaller dimensions is still a viable way to increase compute power, achieve higher memory cell density, or reduce power consumption. These days, chip makers ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

In February 2019, Siemens EDA wrote an article 1 entitled “The Time Is Now for a Common Model Interface”. Since that time, we have continued to see increasing demand for aging analysis, not only in ...

Real-time and in-line accurate measuring of protein (monoclonal antibody, or mAb) concentration has been shown across a wide dynamic range (0–135 g/L) through the ...

Dilaton (EMD) holographic QCD model combined with Bayesian analysis to conduct a detailed investigation into the thermodynamic properties and dissociation processes of heavy quarkonium as it traverses ...