A high-performance, modular Go library for exploring and applying genetic algorithms, with a special focus on multi-objective graph layout optimization. This project is the artifact of the research ...

We apply and test our algorithm on both simulated random instances and perfect splice graph instances, and also compare it with the existing state-of-art algorithm for flow decomposition.

🛰️ An interactive visual simulator that models internet packet flow across a custom network using max-flow algorithms. It helps analyze routing efficiency using Dinic, Edmonds-Karp, Goldberg-Tarjan , ...

By employing reinforcement learning algorithms, the system continuously refines its model based on learner feedback and past interactions. The introduction of cognitive graphs enhances the system’s ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

We design algorithms to address the challenges of scaling ANNS for web and enterprise search and recommendation systems, with a goal to build systems that serve trillions of points in a streaming ...