Meta reports that Muse Spark achieves its reasoning capabilities using over an order of magnitude less compute than Llama 4 ...

Z.AI's GLM-5 tutorial reveals a model built for real agentic workflows, with transparent reasoning and OpenAI-compatible APIs ...

Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.

Overview AI engineering requires patience, projects, and strong software engineering fundamentals.Recruiters prefer practical ...

Boeing engineers Kevin Kwak (foreground) and Klaus Okkelberg confer with fellow team members Arvel Chappell III and Andrew Riha (both on-screen), who worked together ...

The LLM4TR framework proposed in this survey. A curated collection of papers, datasets, and resources related to Large Language Models for Transportation (LLM4TR). This repository serves as the online ...

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...

Abstract: The SGAM Toolbox has established itself as a valuable modeling tool in the energy sector, particularly for interdisciplinary system-of-systems use cases. Built on a domain-specific modeling ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...