Between May 6 and 7, four security research teams published findings about Anthropic’s Claude that most outlets covered as three separate stories. One involved a water utility in Mexico, another ...

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 ...

Create a matrix user for the bot, and launch this app with the following arguments and/or environment variables (environment variables update defaults, arguments take precedence): matrix-webhook -h # ...

The theorems of density functional theory (DFT) establish bijective maps between the local external potential of a many-body system and its electron density, wavefunction and, therefore, one-particle ...

The Code Conducting a Monte Carlo simulation for a portfolio in Python can be accomplished with just a few lines of code, thanks to the availability of efficient functions designed for the task. The ...

Principal Axis Factoring (PAF) is a statistical method used in factor analysis. It is a technique aiming to identify the underlying factors that explain the variance in data. Factor analysis is often ...

Conventional spectroscopic ellipsometry is a powerful tool in optical metrology. However, when it comes to the characterization of non-periodic nanostructures or structured fields that are much ...

Shared Secret Authenticator is a password provider module that plugs into your Matrix Synapse homeserver. The goal is to allow an external system to send a specially-crafted login request to Matrix ...

INTERVIEW Python creator Guido van Rossum last week introduced a project to make CPython, the official implementation, five times faster in four years. Now Mark Shannon – one of the three initial ...

The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an item based on two or more numeric predictor variables. For example, you ...