In physical systems where errors carry tangible consequences, AI creates value through reliability and first-time-right performance.

Engineers who understand how to impose structure around model behavior play a critical role in turning experimental workflows ...

For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...

Abstract: This paper presents a proof-of-concept digital twin designed to enhance industrial process monitoring and maintenance through real-time and bidirectional communication. The integrated ...

REC-R1 is a general framework that bridges generative large language models (LLMs) and recommendation systems via reinforcement learning. Check the paper here.

Step-by-step tutorial perfect for understanding core concepts. Start here if you're new to Agentic RAG or want to experiment quickly. 2️⃣ Building Path: Modular Project Flexible architecture where ...

Abstract: In recent years, the Digital Twin has attracted significant attention in academia and industry as a powerful technology for creating virtual replicas of physical systems tailored to specific ...

Moreover, we discuss strategies for metadata selection and human evaluation to ensure the quality and effectiveness of ITDs. By integrating these elements, this tutorial provides a structured ...