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AI engineers claim new algorithm reduces AI power consumption by 95% — replaces complex floating-point multiplication with integer addition
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 ...
Once the domain of esoteric scientific and business computing, floating point calculations are now practically everywhere. From video games to large language models and kin, it would seem that a ...
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Integer addition algorithm could reduce energy needs of AI by 95%
A team of engineers at AI inference technology company BitEnergy AI reports a method to reduce the energy needs of AI applications by 95%. The group has published a paper describing their new ...
Most AI chips and hardware accelerators that power machine learning (ML) and deep learning (DL) applications include floating-point units (FPUs). Algorithms used in neural networks today are often ...
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