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New algorithm could reduce energy requirements of AI systems by up to 95 percent

Researchers have developed an algorithm that could dramatically reduce the energy consumption of artificial intelligence systems.

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Scientists at BitEnergy AI created a method called “Linear-complexity multiplication” (L-Mul) that replaces complex floating-point multiplications in AI models with simpler integer additions.