Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

Stay in flow with Auto Claude using multi-terminal tools and session restore, so you run tests and pick up where you left off ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

Takahiro Masuda, a university student in Hiroshima majoring in bioinformatics, participated in the UNITAR SDGs and Digital ...

A critical LangChain AI vulnerability exposes millions of apps to theft and code injection, prompting urgent patching and ...

Chinese AI startup’s release is a major update to its open-source model series, aimed at multi-language programming and ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

There is a common misconception that AI applications can be sufficiently tested and derisked by running a pilot in a ...

A critical LangChain Core vulnerability (CVE-2025-68664, CVSS 9.3) allows secret theft and prompt injection through unsafe ...

One organization responding to this shift is Interview Kickstart, which has introduced the Agentic AI Course for Engineers and Developers and senior tech professionals. A 14-week training program ...