Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...

Biologists and computational scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory recently ...

When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

Neo-1 is the first model to unify de novo molecular generation and atomic-level structure prediction in a single model, by generating latent representations of whole molecules instead of predicting ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Biologists and computational scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory recently ...

Gero, a biotechnology company developing novel therapeutics for aging and chronic diseases, has released ProtoBind-Diff, a novel masked diffusion language model that generates drug-like molecules for ...

ACORD, the global standards-setting body for the insurance industry, has announced the launch of the Next-Generation Digital Standards (NGDS) Object ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

No matter how sophisticated the AI model, its power depends on the quality, structure and context of the data beneath it.