An innovative open-source AI engine uses swarm intelligence and thousands of digital agents to accurately predict market trends and public opinion.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Discover OpenFang, the Rust-based Agent Operating System that redefines autonomous AI. Learn how its sandboxed architecture, pre-built "Hands," and security-first design outperform traditional Python ...

The project is described by its creators as a universal swarm-intelligence engine designed to run large-scale simulations in order to explore possible future scenarios. Instead of relying on a single ...

点击上方“Deephub Imba”,关注公众号,好文章不错过 !多数关于 LangGraph 和 Semantic Kernel 的比较文章已经过时。过去六个月里，两个框架分别进行了重大的更新，所以本文将梳理的是实际发生的变化、当前的代码形态，以及如何进行技术选型。2026 年构建 Python AI Agent ...

Nvidia CEO Jensen Huang hints at agentic AI at GTC; a Groq-based LPU could boost inference, defend its moat, and more. Click ...

Infosecurity spoke to several experts to explore what CISOs should do to contain the viral AI agent tool’s security vulnerabilities ...

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.