A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Two years ago, a Canadian writer named Cory Doctorow coined the phrase "enshittification" to describe the decay of online platforms. The word immediately set the Internet ablaze, as it captured the ...
This program reads a 3 x 3 kernel and then performs convolution. The first set can handle arbitrary input sizes, whereas the second set is limited to a fixed input size of 4 x 5.
The rapid growth of large language models (LLMs) and their increasing computational requirements have prompted a pressing need for optimized solutions to manage memory usage and inference speed. As ...
Hi, Ali, I have been looking forward to implementing Attenion like Convolution. NATTEN is a very nice implementation. Naive PyTorch implementation, using operators like Unfold, ReplicationPad, is ...
ABSTRACT: Digital image forgery (DIF) is a prevalent issue in the modern age, where malicious actors manipulate images for various purposes, including deception and misinformation. Detecting such ...
Earlier this month, Google Cloud experienced one of its biggest blunders ever when UniSuper, a $135 billion Australian pension fund, had its Google Cloud account wiped out due to some kind of mistake ...
Abstract: Convolution serves as a foundational component enabling Deep Neural Networks (DNN) to extract meaningful features from input data. This paper focuses on the real-time architecture of a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback