Our data science expert continues his exploration of neural network programming, explaining how regularization addresses the problem of model overfitting, caused by network overtraining. Neural ...

The Defense Advanced Research Projects Agency awarded Professor Jie Gu and co-PIs from the University of Minnesota and Duke University up to $3.8 million through the Scalable Analog Neural-networks ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge can be disrupted. One of these, known as interference, occurs when humans are ...

Though researchers have long suspected the brain mechanism for computer programming would be similar to that for math or even language, this study revealed that when seasoned coders work, most brain ...

Green tweeted, "Looked into 2020.48 NNs (yay for holiday break free time!) Interesting to see they are migrating right of way guessing from C++ as seen in the early FSD betas in October to NNs now.

I was reading my psychology book the other day and it mentioned how people, in an attempt at programming computers that *think* like humans, created neural network programming- which is the closest ...

Before the invention of the computer, most experimental psychologists thought the brain was an unknowable black box. You could analyze a subject's behavior—ring bell, dog salivates—but thoughts, ...

Our data science expert continues his exploration of neural network programming, explaining how regularization addresses the problem of model overfitting, caused by network overtraining. Neural ...