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 ...

The end goal of database design is to be able to transform a logical data model into an actual physical database. A logical data model is required before you can even begin to design a physical ...

The landscape for video training data and multimodal foundation models in 2026 is defined by a shift from quantity to highly ...

No single standard addresses every security risk. The core challenge for AI data center operators is the lack of integration ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

​Improving data delivery is not just an engineering challenge; it is a leadership responsibility. It requires rethinking how ...