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

Google DeepMind's AlphaEvolve AI system breaks a 56-year-old mathematical record by discovering a more efficient matrix multiplication algorithm that had eluded human mathematicians since Strassen ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do so for some critical optimization tasks.

The strengths of soft computing and machine learning based algorithms are being harnessed globally to improve and optimize power system performance. One such application happens to be load forecasting ...

A Back Propagation Based Optimized Regression Learning Algorithm for Load Estimation in Power Systems Abstract: The strengths of soft computing and machine learning based algorithms are being ...

A new technical paper titled “The backpropagation algorithm implemented on spiking neuromorphic hardware” was published by University of Zurich, ETH Zurich, Los Alamos National Laboratory, Royal ...

Natural neural systems have inspired innovations in machine learning and neuromorphic circuits designed for energy-efficient data processing. However, implementing the backpropagation algorithm, a ...

Keywords: soft computing methods, sensitivity analysis, archie equation, saturation exponent, oil and gas reservoir Citation: Yadav A, Aldulaimi SH, Altalbawy FMA, Raja PKN, Ramudu MJ, Juraev N, ...

But a new algorithm I have developed promises to make many of these climate model simulations ten times faster, and could ultimately be an important tool in the fight against climate change.