Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

Discover VGG, a popular convolutional neural network architecture, and learn why it’s important in computer vision tasks. #VGG #DeepLearning #CNN ...

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...

Major Depressive Disorder (MDD) is a leading cause of disability among adolescents, yet the efficacy of Electroconvulsive ...

TDK's recently created group company, TDK AIsight will address the intersection of physical and generative AI, enabling the ...

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...

At its CES 2026 event, Nvidia has announced its new Deep Learning Super Sampling (DLSS) 4.5 technology, which comes as a major update after DLSS 4 was announced back in 2024 with ...

The study highlights that autonomous vehicle infrastructure presents a large and complex attack surface. Vehicles now contain ...

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...