A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Businesses are being warned about a new cyber campaign targeting Windows environments where getting in is only the beginning – not the end – of the attack.

Managing irregular multivariate time series (IMTS) data is a significant challenge due to inherent irregularities and missing values. Recent advancements have utilized graph neural networks (GNNs) to ...

Abstract: Programming language pre-training models have made significant progress in code representation learning in recent years. Although various methods, such as data flow and Abstract Syntax Tree ...

When writing or testing Python scripts, your terminal can quickly become cluttered with logs, debug messages, and outputs. A clean console not only improves readability but also helps you stay focused ...

Framework of DynIMTS. The model is a recurrent structure based on a spatial-temporal encoder and consists of three main components: embedding learning, spatial-temporal learning, and graph learning.

The challenge takes place from July 11-20 in designated South Florida locations. Participants compete for prizes, including $10,000 for removing the most pythons. Pythons must be killed humanely using ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

The HybridMethod library provides a Python method decorator that allows methods defined in a class to be used as both a class method and an instance method. The latest version of the HybridMethod ...