Tag
This newsletter covers the aerodynamics of the 2026 World Cup ball and OpenAI's plans to turn ChatGPT into a 'super app' before its IPO, along with other tech news such as Google's deal with SpaceX and Trump's proposal for US government stake in AI companies.
Researchers tested the new Adidas Trionda World Cup ball and found it may slightly reduce distance on long kicks but rewards clean technique and predictable flight.
This paper proposes AirfoilGen, a latent diffusion model for airfoil shape generation that ensures geometric validity via a circle sweeping representation and enables control over aerodynamic performance (lift/drag coefficients). Experiments show 98.41% performance-conditioning accuracy, using a new dataset of over 200,000 airfoils.
This paper introduces AeroJEPA, a Joint-Embedding Predictive Architecture for scalable 3D aerodynamic field modeling. It addresses limitations in current surrogate models by predicting semantic latent representations of flow fields, enabling efficient high-fidelity analysis and design optimization.
A 2019 blog post from FLOW Lab at BYU explores how to optimize Julia code to match C++ performance using a real-world aerodynamics application (vortex particle method) as a benchmark. The author shares lessons learned about achieving high-performance computing in Julia through type declarations, JIT compilation, and code optimization techniques.