Microsoft and Tsinghua University have developed a 7B-parameter AI coding model that outperforms 14B rivals using only ...
AI-generated code can introduce subtle security flaws when teams over-trust automated output. Intruder shows how an AI-written honeypot introduced hidden vulnerabilities that were exploited in attacks ...
WIRED spoke with Boris Cherny, head of Claude Code, about how the viral coding tool is changing the way Anthropic works.
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
I tried four vibe-coding tools, including Cursor and Replit, with no coding background. Here's what worked (and what didn't).
This SPI (Service Provider Interface) implementation for Keycloak enables user registration using a predefined invitation code. It introduces an additional level of registration control by allowing ...
The Register on MSN
Teach an AI to write buggy code, and it starts fantasizing about enslaving humans
Research shows erroneous training in one domain affects performance in another, with concerning implications Large language ...
Learn how to use GitHub Copilot to generate code, optimize code, fix bugs, and create unit tests, right from within your IDE ...
Abstract: This study endeavors to investigate the effectiveness of machine learning-based methodologies in enhancing the performance and reliability of Power Line Communication (PLC) systems. PLC ...
Abstract: Deep code models are vulnerable to adversarial attacks, making it possible for semantically identical inputs to trigger different responses. Current black-box attack methods typically ...
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