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The rapid advancement of artificial intelligence has fundamentally transformed how we approach problem-solving in various domains. Machine learning algorithms, particularly deep neural networks, have demonstrated remarkable capabilities in pattern recognition and decision-making tasks. However, the interpretability of these systems remains a significant challenge, as the decision-making process often operates as a "black box" that is difficult for humans to understand and trust.

Climate change represents one of the most pressing challenges of our time, with far-reaching implications for ecosystems, economies, and human societies. The scientific consensus is clear: human activities, particularly the burning of fossil fuels and deforestation, are driving unprecedented changes in global temperature patterns. These changes are already manifesting in more frequent and severe weather events, rising sea levels, and shifts in biodiversity patterns.

Blockchain technology has emerged as a revolutionary approach to creating decentralized, secure, and transparent systems for digital transactions. By utilizing cryptographic principles and distributed consensus mechanisms, blockchain networks can maintain immutable records without requiring trust in a central authority. This technology has applications ranging from cryptocurrency systems to supply chain management and digital identity verification.