In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...
Abstract: In this article, hybrid approximate multiplier (HAMs) designs based on the combination of logarithmic multiplication and piecewise linear (PWL) fitting are proposed. After extracting the ...
Introduction: As the number of Internet of Things (IoT) devices grows quickly, cyber threats are becoming more complex and increasingly sophisticated; thus, we need a more robust network security ...
Marlink, a specialist in managed services for business-critical ICT solutions, has deployed its Sealink NextGen hybrid network and cyber security solutions across 50 vessels operated by Polish dry ...
Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs through layers, calculating activations, and preparing data for ...
Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
Abstract: With the continuous evolution of vision neural networks, the off-chip transmission and storage of intermediate feature maps have become a major bottleneck during inference, especially in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results