This new method could reduce the energy needs of AI applications by 95% — but may also need whole new forms of hardware

Engineers have developed a new calculation method called Linear-Complexity Multiplication that could reduce AI energy consumption by up to 95%. This approach replaces traditional floating-point multiplication with integer addition, potentially cutting AI's electricity needs dramatically, but requires new hardware different from current GPUs.