This appeared in the motoring news but looks very relevant to aerospace design.
Latest funding round raises £16 million for Cambridge-based technology firm Secondmind
www.autocar.co.uk
This article is paywalled, but the gist is:
Using machine learning (AI that teaches itself), the tech can both reduce the amount of errors in design and testing ten-fold. This leads to fewer corrections and 40% fewer costly prototypes needing to be produced.
A search for SecondMind and Mazda gives:
Mazda joins existing Secondmind investors in new $16 million funding round November 28th, 2023 Secondmind announced today the expansion of its long-standing strategic partnership with Mazda to drive AI-fueled innovations that address the increasing engineering complexity in automotive design and...
www.amadeuscapital.com
Boxscore covers world sporting news including FIFA, Association Football, NFL, CFL, NCAA, FIVB, FIBA, World Rugby and more
boxscorenews.com
This does
not mean going directly from screen to series production. What makes car prototype testing take about two and a half years on average is the need to take the same design through prolonged testing under both hot and cold seasonal cycles, finding the real world problems, redesigning and then proving once again. Aircraft EMD is even more complex. However, a shortened timescale and reduced costs are not to be sneezed at.
I wonder if this sort of design technology inspired optimistic talk of 'new century series' fighters?