Microsoft’s investigation into RedVDS services and infrastructure uncovered a global network of disparate cybercriminals ...

Officials of Ukraine's Defense Forces were targeted in a charity-themed campaign between October and December 2025 that ...

Discover Claude Cowork, the new agentic capability from Anthropic that transforms how we interact with AI. Learn how this ...

The phishing campaign shows how attackers continue to weaponize legitimate cloud services and open source tools to evade ...

MIT’s Recursive Language Models rethink AI memory by treating documents like searchable environments, enabling models to ...

In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval ...

In 1969, Jack and Laura Dangermond launched Esri with a bold idea: geographic tools could help people understand – and ...

Belonging, representation and accountability aren’t box-ticking exercises at UEL – they’re central to everything it does ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

By bridging the gap between theoretical logic and practical application, the syllabus fosters the technical proficiency and ...

作者：lingnyliang在人工智能的演进历程中，大语言模型展现出了令人惊叹的文本生成能力，但其“黑箱”特性也带来了显著挑战——模型经常产生看似合理但实际错误的“幻觉”回答，缺乏透明推理过程，且无法与外部世界交互获取实时信息。ReAct（Reaso ...

研究人员提出的递归语言模型（Recursive Language Models, RLMs）通过引入Python交互环境，让模型学会写代码去分块读取、检索并递归调用自身处理信息，成功在千万级Token的超长文本任务中实现了性能与成本的双重突破。