Cilimkovic, M. (2015) Neural Networks and Back Propagation Algorithm. Institute of Technology Blanchardstown, 15, 3-7.

Liars Can Defeat AI Algorithms Using One Simple Technique AI algorithms to detect deception have a tough time outsmarting human ingenuity. Posted June 11, 2025 | Reviewed by Monica Vilhauer Ph.D.

Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these models to their ...

This study proposes theories and applications of probabilistic divergences to neural network training. This theory generalizes the cross-entropy method for backpropagation to the alpha-divergence ...

Build your own backpropagation algorithm from scratch using Python — perfect for hands-on learners!

A simulation is a mathematical procedure you could use to get a more suitable algorithm: Feed it the original, and it’ll give you a new algorithm that saves space at the expense of time. Algorithm ...

Voter ID proposal for Maine is voter suppression, plain and simple | Opinion The state's rural and oldest residents would be among the many voters who would be disenfranchised under the plan.