Binary code summarization, while invaluable for understanding code semantics, is challenging due to its labor-intensive nature. This study delves into the potential of large language models (LLMs) for ...

Researchers show AI can learn a rare programming language by correcting its own errors, improving its coding success from 39% to 96%.

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...

In 2025, hackers stopped using muskets and started using AI machine guns. If your defense strategy still relies on manual human response, you're already a casualty.

A national campaign group that promotes clear public usage of English says the term “fibres only” on the region’s new recycling boxes is confusing. Michelle Boulton, the chair of Plain Canada, ...

Abstract: Large language models have catalyzed an unprece-dented wave in code generation. While achieving significant advances, they blur the distinctions between machine- and human-authored source ...

International Business Machines stock is getting slammed Monday, becoming the latest perceived victim of rapidly developing AI technology, after Anthropic said its Claude Code tool could be used to ...

Human language may seem messy and inefficient compared to the ultra-compact strings of ones and zeros used by computers—but our brains actually prefer it that way. New research reveals that while ...

Abstract: Source code similarity measurement, which involves assessing the degree of difference between code segments, plays a crucial role in various aspects of the software development cycle. These ...