The Encrypted Game of Life in Python Using Concrete

John Horton Conway's 1970 invention, the Game of Life, is a life simulation that uses a grid updated by specific rules to mimic living systems. Though not directly applicable to privacy-preserving computations or customer needs like encrypted health diagnostics or financial predictions, it serves as an engaging exercise in coding and optimization. Zama's blog details using the Concrete Python library to implement the Game of Life efficiently, employing methods such as convolution operators and lookup tables to optimize performance, especially in the context of Fully Homomorphic Encryption (FHE). The blog outlines various approaches to enhance execution speed, demonstrating that understanding algorithmic intricacies and the use of advanced computational techniques can significantly improve efficiency, as tested on m6i machines with notable speed enhancements compared to earlier implementations.