Atomfair Brainwave Hub: SciBase II / Computational Modeling and Optimization / AI-driven optimization in science and engineering

AI-driven optimization in science and engineering

Showing 1-5 of 5 articles

Using art-inspired scientific approaches to optimize multimodal fusion architectures

Synthesizing algebraic geometry with neural networks for high-dimensional data compression

Atomic layer etching techniques for defect reduction in 2nm semiconductor node fabrication

Through EUV mask defect mitigation in next-generation semiconductor manufacturing

Enhancing precision machining with adaptive CNC toolpaths for composite materials