[Video tutorial] Implement GPU Acceleration on Homomorphic Computation using TFHE-rs

TFHE-rs is designed for developers and researchers seeking control over their use of TFHE while abstracting away low-level complexities, aiming to provide a stable, simple, high-performance, and production-ready library for TFHE's advanced features. The tutorial by Zama team member Agnes Leroy demonstrates implementing GPU acceleration with TFHE-rs. Users are encouraged to support the project by starring its GitHub repository, reviewing the documentation, and participating in community channels. Additionally, the Zama Bounty Program and Grant Program invite contributions to further advance the field of Fully Homomorphic Encryption (FHE).