Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

Abstract: Modern AI-powered integrated development environments (IDEs) face significant scalability challenges with large codebases due to the fixed context windows and high computational costs ...

ICC’s Ryan Colker explains how thoughtful code development and evaluation processes are paving the way for safe, scalable adoption of next-generation building technologies. ICC's Ryan Colker speaks at ...