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 ...

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

Yann LeCun has become mainstream during the recent AI revolution in his role as the Chief AI Scientist at Meta, but he’s ...

Convolutional neural networks, or CNNs, are the workhorses behind many of AI's greatest hits, like spotting faces in photos, ...

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

A research team has developed a powerful unsupervised deep learning network that can accurately separate wood and leaf components in 3D point clouds of trees—without the need for labor-intensive data ...

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 at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

In this Q&A, Quant CEO Chetan Dube reflects on the seismic shifts A.I. is bringing to work, society and the global economy. He discusses agentic A.I.’s rise could reshape how we define ...

Ultralytics Inc., a developer of computer vision models, today announced that it has raised $30 million in funding. Elephant ...

1 Institute of Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia 2 Department of Learning, Data Analytics and Technology, Section Cognition, Data and ...