Machine learning deals with software systems capable of changing in response to training data. ... Backpropagation algorithms, likewise, have any number of implementations.

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

A new model of learning centers on bursts of neural activity that act as teaching signals — approximating backpropagation, the algorithm behind learning in AI. Every time a human or machine learns how ...

In recent years, the ML field has been dominated by what is called the backpropagation algorithm, or backprop, which, Çamsari said, “is basically driving everything right now, but in my lab, we use ...

In 2021, InfoQ covered a biologically-plausible alternative to backpropagation called zero-divergence inference learning (Z-IL) which can exactly reproduce the results of backpropagation.

New machine learning algorithm promises advances in computing. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 05 / 240509155536.htm. Ohio State University.

New algorithm boosts multitasking in quantum machine learning. ScienceDaily . Retrieved July 12, 2025 from www.sciencedaily.com / releases / 2024 / 12 / 241210115620.htm ...

New machine learning algorithm promises advances in computing. Ohio State University. Journal Nature Communications DOI 10.1038/s41467-024-48133-3. Keywords ...