Abstract: This article studies transfer-based black-box pedestrian attacks in traffic scenes, where an attacker aims to deceive a target model by generating malicious examples using a surrogate model.

Dec 11 (Reuters) - The U.S. Food and Drug Administration has approved Flow Neuroscience's at-home brain stimulation device to treat depression, offering an alternative to typical antidepressants that ...

A team led by the BRAINS Center for Brain-Inspired Computing at the University of Twente has demonstrated a new way to make electronic materials adapt in a manner comparable to machine learning. Their ...

Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is the ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

In this video, we will understand Backpropagation in RNN. It is also called Backpropagation through time, as here we are backpropagating through time. Understanding Backpropagation in RNN helps us to ...

Backpropagation in CNN is one of the very difficult concept to understand. And I have seen very few people actually producing content on this topic. So here in this video, we will understand ...

Abstract: This paper presents the Gradient Flow (GF) decoding for LDPC codes. GF decoding, a continuous-time methodology based on gradient flow, employs a potential energy function associated with ...

LayerNorm in candle-nn does not properly propagate gradients through all parameters during backpropagation, causing only 33% of parameters to receive gradients. This prevents models from training ...