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RPTU University Kaiserslautern-Landau
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Achieving a 4% accuracy boost in CNNs without changing datapath width while enhancing energy efficiency by 2.5x could revolutionize industrial visual inspection.
Custom reduced-precision floating-point formats can outperform fixed-point designs in FFT implementations, cutting power by nearly 20% without sacrificing performance.
Your factory floor's accelerometer data might be leaking your CNC machine's exact movements: LSTMs can reconstruct axis positions with high accuracy, turning condition monitoring data into a security vulnerability.
