Latest articles on AI, technology, and software development.
این مقاله درباره موضوعات فناوری و هوش مصنوعی است. A survey carried out by OutSystems, The State of AI Development 2026 [email wall], argues that AI has moved into early production phase for many enterprises, primarily inside the IT function. The surv
این مقاله درباره موضوعات فناوری و هوش مصنوعی است. A new open-source toolkit from Microsoft focuses on runtime security to force strict governance onto enterprise AI agents. The release tackles a growing anxiety: autonomous language models are now exe
این مقاله درباره موضوعات فناوری و هوش مصنوعی است. If you've ever watched two agents confidently write to the same resource at the same time and produce something that makes zero sense, you already know what a race condition feels like in practice.
این مقاله درباره موضوعات فناوری و هوش مصنوعی است. Exciting times are ahead in the world of enterprise perimeter security with a new partnership between Thrive Logic, an AI agent-driven security and operational intelligence platform, and Asylon, a sec
این مقاله درباره موضوعات فناوری و هوش مصنوعی است. Unlike static, rules-based systems, AI agents can learn, adapt, and optimize processes dynamically. As they interact with data, systems, people, and other agents in real time, AI agents can execute en
این مقاله درباره موضوعات فناوری و هوش مصنوعی است. The Anthropic UK expansion story is less about diplomatic courtship and more about what happens when a government punishes a company for having principles. In late February, US Defence Secretary Pete
این مقاله درباره موضوعات فناوری و هوش مصنوعی است. If you have worked with retrieval-augmented generation (RAG) systems, you have probably seen this problem.
این مقاله درباره موضوعات فناوری و هوش مصنوعی است. With the launch of KiloClaw, enterprises now have a tool to enforce governance over autonomous agents and manage shadow AI. While businesses spent the last year securing large language models and form
این مقاله درباره موضوعات فناوری و هوش مصنوعی است. A couple of years ago, most machine learning systems sat quietly behind dashboards.
چگونه میتوان یک سیستم تأیید انسانی برای عاملهای هوش مصنوعی خودمختار ایجاد کرد تا از اقدامات ناخواسته جلوگیری شود.
این مقاله درباره موضوعات فناوری و هوش مصنوعی است. This article is divided into three parts; they are: • How Attention Works During Prefill • The Decode Phase of LLM Inference • KV Cache: How to Make Decode More Efficient Consider the prompt: Today’s
این مقاله درباره موضوعات فناوری و هوش مصنوعی است. Feature engineering is where most of the real work in machine learning happens.