Researchers at Helmholtz Munich and the Technical University of Munich (TUM) have developed Nicheformer, the first ...

The open-source AI model improves transparency in predicting how proteins interact with other molecules, which could speed up drug discovery.

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Researchers have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides -- chains of amino acids that are shorter than proteins, but perform similar ...

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 ...

Magnetotelluric (MT) data, which contain measurements of electric and magnetic field variations at Earth's surface, provide insights into the electrical resistivity of Earth's crust and upper mantle.

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 ...

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...

Here's how banks can turn fragmented compliance efforts into a scalable, auditable operating model that delivers faster ...

Researchers at Helmholtz Munich and the Technical University of Munich (TUM) have developed Nicheformer, the first ...