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The design phase of the new Epic Flash driver was no ordinary, run-of-the-mill, shape-it-and-see process.
In fact, Callaway readily admit they would never have gotten close to achieving the performance gains in the Epic Flash if they used conventional design workflows.
Callaway engineers, headed by Callaway’s R&D guru Alan Hocknell, decided to venture down a completely different path by employing artificial intelligence (AI), or machine learning.
AI was used to design the heights, sizes and configurations of the numerous ripples and humps that when combined, form the new Flash Face technology that is used in the Callaway Epic Flash’s face.
The performance of thousands of different Flash Face formations could be simulated through super-computer modelling, with AI learning what worked and what didn’t from each cycle, until the optimal configuration was determined after 15,000 repetitions.
In comparison, previous Callaway driver designs had between eight to ten iterations in order to compare performance.
While it’s hidden within the Callaway Epic Flash, the Flash Face formation appears random, with no discernible pattern or symmetry like those deployed in Callaway’s previous VFT and X Face technologies. To the eye, the Flash Face design really could only have been conceived with the help of AI.
Despite being unconventional in appearance, the Flash Face configuration works in a very complex way to elevate the COR and generate extreme ball speeds from out-of-the-middle strikes in the Callaway Epic Flash driver.
AI has finally produced something that’s truly Epic.
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