A new Genome Biology study introduces Pep2Net, a platform combining a knowledge base built from 52 peptide databases with a cross-attention deep-learning model that achieves state-of-the-art ...

Data modeling is the process of creating a simplified visual diagram of a software system and the data elements it contains, using text and symbols to represent the data and how it flows. Data models ...

The database world is getting a bit muddied when it comes to managing data variety. Not so long ago, with the exception of a few leading database management system (DBMS) platforms, databases ...

A comprehensive new review argues that database architecture, not just algorithms, determines how successfully entity ...

Amazon Web Services's AI Shanghai Lablet division has created a new predictive model -- an open-source benchmarking tool called 4DBInfer used to graph predictive modeling on RDBs, a relational ...

Picture this: The year is 2030, and you’re living in a world where retailers can predict consumer behavior with uncanny accuracy, healthcare providers are diagnosing diseases before symptoms escalate ...

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

Vector databases store, index, filter, and search embeddings so applications can retrieve items by similarity at operational ...

For years, enterprise companies have been plagued by data silos separating transactional systems from analytical tools—a divide that has hampered AI applications, slowed real-time decision-making, and ...

This book looks at information modeling approaches, including object-role modeling (ORM), entity-relationship (ER) modeling, and the unified modeling language (UML). Terry Halpin and Tony Morgan show ...