Abstract: Floating-point (FP) multipliers are critical components in high-performance computing systems, particularly in signal processing, graphics, and machine learning applications. However, ...
Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.
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Abstract: Neural Networks face challenges with traditional floating-point computing architectures due to complexity, power, and latency. This work presents a general-purpose multiple precision ...