Developers remain unsure how to prevent access to sensitive data Don't you hate it when machines can't follow simple ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

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.

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

This dumps comprehensive documentation that the AI can use to help you explore Chromium's codebase without any special configuration or context pollution.

Research shows erroneous training in one domain affects performance in another, with concerning implications Large language ...

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: Today, 64-bit ARM processors are used in a wide range of devices such as mobile and IoT devices. To improve the execution speed of application programs on such devices with limited computing ...