This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

Innovative X-ray technology from Hamamatsu Photonics improves safety standards in food and non-destructive testing through ...

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in convolutional neural networks. This tutorial explains the intuition, mathematical ...

In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory ...

Pancreatic neuroendocrine neoplasms (PNENs) are a rare form of cancer that affects hormone-producing cells in the pancreas.

University of Arizona researchers have demonstrated that multiphoton microscopy (MPM), combined with machine learning and deep learning techniques, can accurately distinguish pancreatic neuroendocrine ...

In the field of hazardous chemical transportation, safety is of utmost importance. The consequences of an accident can be ...

Researchers explore the human immune system by looking at the active components, namely the various genes and cells involved.

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...