Leveraging deep learning ... using metrics such as accuracy, precision, recall, F1-score, and AUC on the test set (Figure 1). Figure 1. Schematic representation of the Convolutional Neural Network ...

published in Nature a deep-learning pipeline for designing new proteins to interact with therapeutic targets. MaSIF can rapidly scan millions of proteins to identify optimal matches between ...

A year and a half later, the team has reported – again in Nature ("Targeting protein-ligand neosurfaces with a generalizable deep learning tool") – an exciting ... the team designed novel protein ...

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found ... which operates on a majority vote using the average performance values of each ...

Diving deeper into what StarRocks can provide, Shen began to discuss how to go pipeline-free in JOIN environments. Unlike scatter/gather and map reduce compute architectures, MPP (the architecture of ...