AI engineers claim new algorithm reduces AI power consumption by 95% — replaces complex floating-point multiplication with integer addition

1 min read Original article ↗

Engineers from BitEnergy AI, a firm specializing in AI inference technology, has developed a means of artificial intelligence processing that replaces floating-point multiplication (FPM) with integer addition. 

The new method, called Linear-Complexity Multiplication (L-Mul), comes close to the results of FPM while using the simpler algorithm. But despite that, it’s still able to maintain the high accuracy and precision that FPM is known for. As TechXplore reports, this method reduces the power consumption of AI systems, potentially up to 95%, making it a crucial development for our AI future.

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