5 custom ChatGPT instructions I use to get better AI results - faster

Use headings for responses longer than five lines. Use numbered lists for sequences and bullet lists for collections. Use tables for comparisons by default. Avoid tables that will be too wide for the ...

North Korean Graphalgo Campaign Uses Fake Job Tests to Spread Malware Scam

A North Korean attack group is running a scam operation called the Graphalgo, wherein they use fake job schemes to deliver malware.

Fake job recruiters hide malware in developer coding challenges

A new variation of the fake recruiter campaign from North Korean threat actors is targeting JavaScript and Python developers ...
IEEE

Real-Time Unsupervised Nonintrusive Load Monitoring Based on Graph Signal Processing

Abstract: Nonintrusive load monitoring (NILM) is an economical technology for promoting demand-side management (DSM) by offering electricity usage details. Driven by the fact that most existing NILM ...
GitHub

A Dataset and code of Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning

Paper: Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning The MFCAD (Machining Feature CAD) dataset is a comprehensive collection of 3D CAD models with labeled ...
IEEE

Distributed Graph Learning From Smooth Data: A Bayesian Framework

Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...
GitHub

GenAI Processors is a lightweight Python library that enables efficient, parallel content processing.

You can apply a Processor to any input stream and easily iterate through its output stream: The concept of Processor provides a common abstraction for Gemini model calls and increasingly complex ...