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Energy calculus reveals that energy optimization can be systematically composed, transforming how we approach energy efficiency in AI systems.
BlazingAML delivers up to 333x speedups in anti-money laundering detection while maintaining state-of-the-art accuracy, by compiling high-level fuzzy pattern descriptions into optimized GPU code.