Deep learning allows specialists in many sectors to process ... Sharp U-Net architecture to detect and assess the severity of pavement cracks. The researchers train the model with a large, ...

Researchers are proposing a “deep learning” framework called a naïve Bayes-convolutional neural network to analyze individual video frames for crack detection. An innovative “data fusion scheme” ...

In the machine learning world ... This is akin to reducing the number of parameters in a model to prevent it from overfitting, a process called regularization. Zhang wondered if deep neural networks ...

Some researchers remain skeptical that the theory fully accounts for the success of deep learning, but Kyle Cranmer, a particle physicist at New York University who uses machine learning to ...

Much like the human brain, their model has the ability to learn and generalize using relatively few examples, especially compared to current deep learning ... rules on how to crack each type ...

A new idea called the “information bottleneck” is helping to explain the puzzling success of today’s artificial-intelligence algorithms—and might also explain how human brains learn.