Abstract: The increasing power of computing platforms and the recent advances in data science techniques have fostered the development of data-driven computational models of engineering systems with ...

The intermeshing of algorithms and big data increasingly blurs distinctions between different forms of quantification. Quantification has recently come under intense scrutiny for perceived misuse of ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

Live-cell imaging enables scientists and researchers to acquire phase contrast images and provides an ideal platform to study complex biological models. As these models move towards using more ...

The accelerated impact of data and analytics on organizational success means C-suite leaders must gain greater quantitative and data analysis knowledge. No longer can they merely delegate the ...

Refinitiv, an LSEG business, has announced an agreement that allows for its comprehensive suite of quantitative data to now be made available on Snowflake’s Financial Services Data Cloud. Today’s ...

As the self-quantification movement matures, users are expanding beyond physical tracking to assess how they think, decide, ...