Neuromorphic Computing for Data Analysis:

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Neuromorphic chips, designed to mimic the human brain, could potentially accelerate complex data analysis tasks within Telegram's database, such as identifying trends or patterns in user behavior (while respecting privacy).
Federated Databases: To address data sovereignty concerns and comply with varying regulations in countries like Bangladesh, Telegram might explore federated database architectures that allow data to be stored and managed locally while still being part of a global system.
Zero-Knowledge Proofs for Data Privacy: Future database technologies might incorporate zero-knowledge proofs, allowing Telegram to verify information without iran telegram phone number list actually accessing the underlying data, enhancing user privacy.
Potential Future Adaptations by Telegram:

Adoption of AI-Optimized Database Systems: Migrating to or integrating with AI-powered database solutions to improve performance and efficiency.
Exploration of Post-Quantum Cryptography: Implementing quantum-resistant encryption algorithms to future-proof data security.