In recent months, there has been growing discussion of the so-called “kill zone” — a drone-enabled space designed to halt Russian advances. We sought to understand what this concept entails, how it ...

Multithreaded Python applications don’t perform true parallel computing. Instead, they just create the illusion of parallelism. To achieve this, Python schedules a thread to run for a few CPU cycles, ...

Learn how to use recurrent neural networks (RNNs) to process sequential data with variable length and complexity in Python. Discover the basics, advantages, challenges, and applications of RNNs.

This body of data has enormous potential to guide future studies. The ideal way to describe this data in machine learning studies is still being determined. Grid-structured representations of protein ...

Here are five approaches to changing the hierarchical command-and-control structure to be a more empowering management structure: 1. Encourage participation and collaboration.

This pipeline is built in snakemake. The flowchart of the pipeline is shown here, shown for three input fast5 files: At a high level, this pipeline takes raw .fast5 files from the MinION, basecalls ...

Sequentia is a Python package that provides various classification and regression algorithms for sequential data, including methods based on hidden Markov models and dynamic time warping. Some ...