Know what message you’re trying to communicate before you get down in the weeds. by Scott Berinato Not long ago, the ability to create smart data visualizations, or dataviz, was a nice-to-have skill.

Marwitz et al. demonstrate the use of large language models to build semantic concept graphs from materials science abstracts and train a machine learning model to predict emerging topic combinations ...

Computational chemistry describes the use of computer modelling and simulation – including ab initio approaches based on quantum chemistry, and empirical approaches – to study the structures and ...

Abstract: In the present paper, existing visualization algorithms for rendering of atmospheric clouds are described, particle system algorithm and raymarching algorithm are compared. The raymarching ...

Abstract: Compared to natural images, dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) exhibits lower spatial resolution, reduced contrast sensitivity, and limited detail visibility, ...

This will generate the scene. To reduce GPU memory usage, you can modify threedgen.py and image_gen.py so they do not load all models at startup. For resume and human-editing workflows, refer to the ...

📢 9/Oct/22 - Added training and evaluation scripts. Note slight env changes adapting to the new code. If you already have an installed environment, run bash prepare/download_glove.sh; pip install ...