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A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature. Lillian Eden|Department of Biology Publication Date: August 27, 2026

Artificial intelligence in financial services has largely been measured through familiar metrics such as cost reduction, faster processing and automation.However, TAINA Technologyargues that the emergence of agentic AI could deliver a much broader transformation, particularly across complex tax and operations functions.