AI-Accelerated Engineering: Real-Time CFD for Engineering Challenges 

The transition to AI-accelerated engineering is gaining momentum as the industry grapples with complex challenges!
This shift underscores the practical application of data-driven methods to simplify workflows and speed up engineering processes.
The need for AI in engineering arises from the desire to achieve real-time results, overcome intricate problems efficiently, and maximise the potential of interactive design. However, the question remains: How accurate and reliable is this approach?
Explore real-time, data-driven solutions for complex engineering challenges. Discover successful AI implementations in engineering, covering AI models and real-time examples, and learn about the applications of transfer learning.