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SAITRANS 2.0 Thermodynamics of Predictive Computation (Book)


SAITRANS 2.0: Thermodynamics of Predictive Computation explores the relationship between intelligence, information, and energy through a physics-inspired framework for decision-making systems. By linking predictive accuracy to thermodynamic cost, the book proposes that intelligent systems can save energy not by creating it, but by avoiding unnecessary computation through accurate decisions. Combining concepts from information theory, thermodynamics, artificial intelligence, and neuromorphic computing, SAITRANS 2.0 presents a corrected and physically consistent model for energy-efficient computation, while exploring its implications for future AI systems, biological intelligence, and the limits of computation itself.