Abstract: This article reviews the latest in machine unlearning for large language models (LLMs), introducing methods for the targeted forgetting of information to address privacy, ethical, and legal ...

Programmers learning Rust struggle to understand own\x02ership types, Rust’s core mechanism for ensuring memory safety ...

Corporate investment in AI continues to accelerate globally and patent filings for AI-related inventions are rising across ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper ...

Abstract: Research on mitigating errors in computing and communication systems has grown with their widespread use. In quantum computing, error correction is crucial ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

Economist Scott Cunningham showed the Fed how AI agents can replicate studies for $11—and why the same tools could erode the ...

Arch Wiki admins deleted the XLibre project page, citing Code of Conduct violations. Discover the full story behind the ...