May, L., et al. (2025). Pre-training artificial neural networks with spontaneous retinal activity improves motion prediction in natural scenes. PLoS Computational Biology.

As a result, researchers are increasingly turning to synthetic data to supplement or even replace natural data for training neural networks. “Machine learning has long been struggling with the data ...

Artificial Neural Network Architecture. Scientists design ANNs to function like neurons. 6 They write lines of code in an algorithm such that there are nodes that each contain a mathematical function, ...

Born in the 1950s, the concept of an artificial neural network has progressed considerably. Today, known as “deep learning”, its uses have expanded to many areas, including finance.

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions ...

Artificial neural networks learn better when they spend time not learning at all. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2022 / 11 / 221118160305.htm ...

To learn a language task, a neural net may be presented with a sentence one word at a time, and will slowly learns to predict the next word in the sequence. This is very different from how humans ...

In 1989 Crick wrote, “As far as the learning process is concerned, it is unlikely that the brain actually uses back propagation.” Backprop is considered biologically implausible for several major ...