The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...

This paper develops a conceptual framework to analyze how gendered social norms mediate the effects of legal frameworks on ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

While sustainability is frequently mentioned in policy discourse and regulatory frameworks, the study finds that it remains weakly embedded in the core of AI and machine learning research in banking.

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

The Exploration Target is estimated to be between 40 and 50 million tonnes of mineralization grading between 0.80% and 1.10% Li2O and between 120ppm and 145ppm Ta2O5 and is largely constrained to the ...

CARE-ACE supports autonomy through bounded agentic reasoning, in which diagnostic, prognostic, planning, and risk-assessment ...

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The world moves, behaviors shift, economies cycle and disease patterns evolve.

Abstract: Database modeling defines the logical design, structure, and specifications for data storage and access within a DataBase Management System (DBMS), a core component of any Information System ...

My name is Bill Burkett, and I am a data modeler. I don’t call myself that often and sometimes have misgivings about doing so. I often get the feeling that being a “data modeler,” when considered in ...