Abstract: Vulnerability detection in source code has been a focal point of research in recent years. Traditional rule-based methods fail to identify complex and unknown vulnerabilities, leading to ...

This is a column about a helpful trick that will radically improve your memory with minimal effort so you can learn faster. But before I get to the science behind the technique and how it can help ...

My Google Drive was almost full, so instead of deleting files, I saved space by converting PDFs to Google Docs, compressing large files, transferring file ownership, and cleaning hidden junk like ...

The purpose of this repository is to provide a few sample prompts used in order to create a simple Python GUI for the Linux desktop project. I created this repository and wrote these prompts on March ...

Lindsey Ellefson is Lifehacker’s Features Editor. She currently covers study and productivity hacks, as well as household and digital decluttering, and oversees the freelancers on the sex and ...

Learn how to make fresh, chemical-free rose water at home using simple DIY methods. This guide breaks down its benefits, how to prepare it, and the best ways to store your homemade rose water. At some ...

Simple interest is paid only on the principal, e.g., a $10,000 investment at 5% yields $500 annually. Compound interest accumulates on both principal and past interest, increasing total returns over ...

I’ve used a 2-meal-per-day approach every late spring and early summer to lean out a little bit and lose that extra body fat I accumulated over the winter months. In this video, I explain the 2MAD ...

Let’s take a quick walkthrough of the most used methods of list in Python. The shopkeeper is quite mechanical. He does the stuff as ordered without giving any second thought. Because you don’t want ...

Lindsey Ellefson is Lifehacker’s Features Editor. She currently covers study and productivity hacks, as well as household and digital decluttering, and oversees the freelancers on the sex and ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.