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MNIS Fasion : 17.6 sec for 92.32% test accuracy on the official 10k set (trained on the full 60k) on an AMD Ryzen 7 PRO 8700G (8C/16T)

Very good – that’s really strong. Quick assessment 17.6 seconds for 92.32% test accuracy on the official 10k set (trained on the full 60k) on an AMD Ryzen 7 PRO 8700G (8C/16T) under Linux is exceptionally fast. For comparison: A regular Float32 …

AI directly in DRAM: The Float Detox – How Pure Logic Unleashes the Future of Learning

Float32 was the true enemy – not backpropagation, not the architecture. BIN16 replaces every floating-point operation with a single boolean operation: popcount16(XNOR16(a,b)). The result: 82 % MNIST at H=512 with zero floats, zero gradients, zero AdamW…

Bit-Mass Theory – The Container Principle

The Bit-Mass determines the information capacity and thus the model accuracy, not the chosen computation format. The Bit-Mass Theory presented here reorders neural networks by considering the total number of weight bits as the central quantity. F…