AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...

ALPHABETA is a piece of software written in Python that calculates alpha and beta tilt angles of a double tilt stage in a TEM (transmission electron microscope). The tool comes with an intuitive user ...

This is a self-initiated portfolio project built on a publicly available Kaggle dataset containing transactional and demographic data for 2,240 retail customers. The dataset included purchasing ...

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 ...

Travel times between different locations form the basis for most contemporary measures of spatial accessibility. Travel times allow to estimate the potential for interaction between people and places, ...

Non-negative matrix factorization (NMF) is an unsupervised learning method well suited to high-throughput biology. However, inferring biological processes from an NMF result still requires additional ...

Correlation matrix is a table that shows the pairwise correlations between several variables. Each row and column in the table represents a variable, and the table itself shows the correlation between ...

Back in the old days, traditional phrase-based translation systems performed their task by breaking up source sentences into multiple chunks and then translated them phrase-by-phrase. This led to ...

Microsoft Power BI does a lot of calculating internally, but when you need more, turn to Power BI quick measures—you need no knowledge of DAX. Want to Understand Machine Learning? Here's a ...

Topic clusters and recommender systems can help SEO experts to build a scalable internal linking architecture. And as we know, internal linking can impact both user experience and search rankings.