Chemists have developed a generative AI model that can make it much easier to determine the structures of powdered crystal materials. The prediction model could help researchers characterize materials ...
Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...
The proposed framework combines machine learning and earthquake engineering to prioritize high-risk buildings, optimizing ...
In the past few years, software engineering has undergone a rapid transformation. Artificial intelligence has moved from novelty to infrastructure. Tools like GitHub Copilot, Cursor, and Claude Code ...
It’s no secret to anyone that chip design gets harder every year. There are two major trends driving these ever-increasing challenges. The first is the continual scaling down to smaller design nodes.
Automation aims to standardize industrial operations and bring overall efficiency to today’s production lines. Such gains, however, may come with considerable effort, as engineering teams must ...
Advanced composites are gaining ground in many areas, especially aerospace, automotive and renewable energies, as they are lightweight and help to save energy. What is still missing are accurate and ...
Why engineers are turning to system-level models. How high-fidelity digital twins help expose system-level issues. Where MBSE is experiencing the fastest adoption. The roles of AI and data science in ...
Harnessing the power of generative AI, researchers at Tsinghua University have developed AIGP—a diffusion-based generative ...