In the fast-paced world of data-driven technologies, MongoDB Inc. has emerged as a powerful and flexible database platform. As organizations seek to unlock the full potential of MongoDB, data modeling ...

SqlDBM, a leading collaborative, cloud-based data modeling platform for the enterprise, is unveiling Tx, a transformational workflow solution that empowers teams to facilitate both relational and ...

Benefiting from the significant advances in machine learning (ML), ML-based data-driven methods allow structural design to be guided by existing data, rather than relying on the experience, intuition, ...

AI systems are only as fair and safe as the data they’re built on. While conversations about AI ethics often focus on model architecture, algorithmic transparency or deployment oversight, fairness and ...

The Data Science and Modeling for Green Chemistry award aims to recognize the research and development of computational tools that guide the design of sustainable chemical processes and the execution ...

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 ...

Lipid nanoparticles (LNPs) are the leading nonviral nucleic acid delivery technology, but LNP structure-function data remains fragmented and nonstandardized. Unlike protein engineering which is ...