How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to distribute credential‑stealing payloads.
Google’s ATLAS study reveals how languages help each other in AI training, offering scaling laws and pairing insights for better multilingual models.
Chainalysis has launched Workflows, a no-code feature that lets non-technical users automate advanced onchain investigations ...
As companies move to more AI code writing, humans may not have the necessary skills to validate and debug the AI-written code if their skill formation was inhibited by using AI in the first place, ...
The addition of durable execution to the popular serverless compute service is a big step forward, but beware the lock-in ...
New Delhi, By the end of 2024, around one-third of newly written blocks of computer programs in the US took support from AI systems gains in productivity, however, went to seasoned programmers, ...
The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...
Does vibe coding risk destroying the Open Source ecosystem? According to a pre-print paper by a number of high-profile ...
Microsoft released new open‑source quantum development tools that deepen VS Code and Copilot integration while targeting real ...
AI coding work is rising fast, but the biggest payoff isn’t evenly shared. A Science analysis suggests seasoned developers ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results