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Using Convolutional Neural Networks to Detect Compression Algorithms
We used a base dataset, compressed every file with various algorithms, and designed a model based on that.
Biologically Inspired Oscillating Activation Functions Can Bridge the Performance Gap between Biological and Artificial Neurons
The recent discovery of special human neocortical pyramidal neurons that can individually learn the XOR function highlights the significant performance gap between biological and artificial neurons.
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