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Tag Quantization

Quantized Neural Precision for Photonic Chips

Training with latent full-precision weights preserves model accuracy. DoReFa quantizers fine-tune input and kernel precision for photonic use. The result: compact, fast, and robust AI hardware. A pragmatic route to efficient optical AI. 🌟 Follow us on LinkedIn! Check the updates from the…

Quantized Precision, Quantum-Ready AI

Photonic CNNs work efficiently at 4–8-bit precision. Accuracy stays above 99.7%, proving minimal quantization loss. Low bitwidth means faster, greener computation for 6G. Precision meets sustainability in optical hardware. 🌟 Follow us on LinkedIn! Check the updates from the website: www.cleverproject.eu 🌟 Full…