Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

For power engineers, Python has become the default glue language for automation, data analysis, and algorithm development. In the meantime, QSPICE has emerged as a high-performance SPICE-class ...

This research is part of a joint initiative between the Cloud Security Alliance (CSA) and OWASP AI Exchange, building upon the previously published Agentic AI Red Teaming Guide. The objective of this ...

conda config --add channels pytorch conda config --add channels rdkit conda config --add channels conda-forge conda config --add channels rmg You can just execute following command to create the conda ...

The Open Web Application Security Project (OWASP) is updating its look at the risk and defensive landscape of artificial intelligence (AI), reflecting the fast adoption of the technology and the ...

This repository contains a Python implementation of the ENHANCE algorithm for denoising single-cell RNA-Seq data (Wagner et al., 2019). The R implementation can be found in a separate repository.

So here's the thing - Python is amazing, but it's painfully slow. You know it, I know it, everyone knows it. Enter Mojo, launched in May 2023 by the brilliant minds at Modular AI. This isn't just ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...