Artificial intelligence (AI) is reshaping work—especially in technical and knowledge-intensive fields—by automating routine tasks and increasing the value of quantitative reasoning and systems ...

Learn machine learning from the ground up - using Python and a handful of fundamental tools. This repository contains a range of resources associated with the 2nd edition of the university textbook ...

When I emphasise the word “real,” it’s to highlight the distinction between a true overseas military base and the kinds of facilities India typically operates. A classic example of an overseas base is ...

This important paper takes a novel approach to the problem of automatically reconstructing long-range axonal projections from stacks of images. The key innovation is to separate the identification of ...

Guided by standardized production and purification platforms, developers of monoclonal antibodies (mAbs) and other recombinant-protein therapeutics can take a relatively straightforward path when ...

brombo/galgebra was originally written by Alan Bromborsky, but was no longer actively maintained, and as of 2019-11-25 no longer exists. pygae/galgebra is a community fork, maintained by Pythonic ...

Convolution has a significant impact on many scientific disciplines, ranging from probability theory and harmonic analysis to information theory. Here, we introduce a framework to study quantum ...

16S sequencing results are often used for Machine Learning (ML) tasks. 16S gene sequences are represented as feature counts, which are associated with taxonomic representation. Raw feature counts may ...

Our expanding understanding of the brain at the level of neurons and synapses, and the level of cognitive phenomena such as language, leaves a formidable gap between these two scales. Here we ...