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 ...

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

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Researchers from The Hong Kong University of Science and Technology and the Southern University of Science and Technology have developed a novel deep learning neural network, Electrode Net. By ...

To meet urgent net-zero goals, the global energy system is shifting from fossil fuels to renewable sources such as solar and wind. Because these ...

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

A deep learning model was able to determine the presence or absence of distinct autoimmune neuroinflammatory disorders.

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, introduced a significant development—Multi-Class Quantum Convolutional Neural Network (Quantum ...

The core of the patent application by China National Building Material Resources and Environment lies in using **artificial intelligence** technology to address the challenges of estimating mineral ...