In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

Gene editing technologies—such as those used in agriculture and de-extinction projects—can be repurposed to offer what an ...

Scientists challenging conventional beliefs around the genetic risk factors for Alzheimer’s have discovered a genetic link ...

Today, genomics is saving countless lives and even entire species, thanks in large part to a commitment to collaborative and ...

By leveraging machine learning models trained to predict energies at the density functional theory level, our pipeline has the potential to approach the accuracy of ab initio methods and the ...

In symbolic regression with formal constraints, the conventional formulation of regression problem is extended with desired properties of the target model, like symmetry, monotonicity, or convexity.

Feature extraction is essential for solving image classification by transforming low-level pixel values into high-level features. However, extracting effective features from images is challenging due ...

We use genetic algorithms for the optimization of training set composition consisting of tens of thousands of small organic molecules. The resulting machine learning models are considerably more ...