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Artificial Intelligence (AI) is fundamentally transforming scientific discovery, moving beyond traditional human-driven methods to autonomous research processes. It highlights AI's application in drug and materials discovery, demonstrating its capacity to accelerate innovation in fields like medicine, genomics, and climate solutions. The sources also address the ethical implications and societal tensions arising from this shift, including concerns about data privacy, algorithmic bias, and the potential for a scientific divide, while acknowledging the differing perspectives of AI pioneers regarding its ultimate impact and safety. Ultimately, the text presents AI as a powerful "algorithmic telescope" that demands responsible innovation and equitable access to ensure its benefits are widely realized.