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

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 ...

Perplexity is pushing beyond search with Comet, major distribution deals, and in-chat shopping — while lawsuits test how far ...

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

The AI firm has rolled out a new security update to Atlas’ browser agent after uncovering a new class of prompt injection ...

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...

Developers are leaning more heavily on AI for code generation, but in 2026, the development pipeline and security need to be ...

Discover the 10 best Infrastructure as Code (IaC) tools for DevOps teams in 2025. Learn how these tools enhance automation, stability, and scalability in cloud environments. Improve your deployment ...

AI agents will reshape 2026: they’ll feed on synthetic/structured data, remake the web, swarm unpredictably, and empower ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.