Many people who try using AI are disappointed with the results and feel they can’t trust a machine – but are there lessons we can learn from how AI is taking on mathematics?

This hands-on PoC shows how I got an open-source model running locally in Visual Studio Code, where the setup worked, where it broke down, and what to watch out for if you want to apply a local model ...

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 ...

Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...

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, ...

Abstract: Automated program repair (APR) research has entered the era of large language models (LLM), and researchers have conducted several empirical studies to explore the repair capabilities of ...

ADL is an Agent Definition Language - not a general AI App definition format. AI apps are broad and may include UI, API layers, deployments, data stores, or business logic. Agents are specific: they ...

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 ...

Poetry and artificial intelligence can appear as opposites—one deeply human; the other cold and mechanical. Sasha Stiles sees them as expressions of the same impulse. Poetry, the Kalmyk- American poet ...