Model selection, infrastructure sizing, vertical fine-tuning and MCP server integration. All explained without the fluff. Why Run AI on Your Own Infrastructure? Let’s be honest: over the past two ...

Abstract: This article presents a barrier-function-based equivalent-input-disturbance approach (BEID) that enhances the disturbance-rejection performance of control ...

From idea to live app in minutes: a straightforward, five-step way to start building with AI—no coding experience needed.

Learn how to protect Model Context Protocol (MCP) from quantum-enabled adversarial attacks using automated threat detection and post-quantum security.

OpenAI launches GPT-5.4 mini and nano, smaller models built for lower-cost coding, multimodal tasks, subagents, and ...

You can now run LLMs for software development on consumer-grade PCs. But we’re still a ways off from having Claude at home.

In this Python for beginners tutorial, you will learn the essentials for data analysis. The tutorial covers how to install ...

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...

In addition to rolling out patches to address two zero-days affecting SQL Server and .NET, Microsoft introduced Common Log ...

Abstract: In this article, a novel adaptive self-triggered controller is constructed to handle the fault-tolerant control problem for nonlinear system with input dead zone through a funnel function ...

Amazon Web Services has introduced Strands Labs, a new GitHub organization created to host experimental projects related to agent-based AI development.

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