Author: Marco Panzeri, R&D Manager, Noesis Solutions
The world of engineering designs and product development has been evolving at a rapid pace. Simulations and 3D models have been a cornerstone of engineering design, allowing for the virtual replication of real-world systems for decades now. Engineers of today, have spent years immersed in the world of simulations, stress analyses, and complex product development processes. The thing is, while digital engineering has made incredible progress over the years, there's always been one persistent challenge: time. Simulations are critical, yes, but they are also expensive in terms of resources and, more crucially, time. This is where AI has come into play.
Read MoreOn the hunt for innovation, AI and ML stand at the forefront to reshape the way how products are designed virtually. Looking at the 2023 Gartner Hype Cycle™, AI in engineering is located in the innovation trigger phase, with increasingly high expectations on revolutionizing virtual product design. Today, AI in Engineering integrates into different stages of the design cycles with a multitude of applications. Companies all around the globe implement this technology to improve speed, quality and cost efficiency of their product design.
Read MoreEngineers use simulations to understand, analyze and predict how their complex systems behave in the real world, and improves the quality and accuracy of their designs, from the earliest stages of design.
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