Key considerations for discovery in AI-focused intellectual property (IP) litigation, including an examination of a hypothetical patent infringement and trade secret misappropriation case on highly ...

Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...

Almost every tech organization is moving towards AI. The demand for skilled AI professionals has reached in a exponential rate. The global AI market is projecte ...

You can implement FEC techniques for linear block codes (Reed-Solomon codecs) and convolutional codes (Viterbi codecs). To understand this general implementation, look at the hardware behind these ...

Explore the fascinating world of convolutional neural networks (CNNs) and uncover how they’ve revolutionized the field of computer vision and deep learning. Understand the building blocks of CNNs and ...

This repository contains the PyTorch implementation for "Dynamic Group Convolution for Accelerating Convolutional Neural Networks" by Zhuo Su *, Linpu Fang *, Wenxiong Kang, Dewen Hu, Matti ...

Polarization-adjusted convolutional (PAC) codes were recently proposed and arouse the interest of the channel coding community because they were shown to approach theoretical bounds for the (128,64) ...

In this paper we investigate a convolutional code construction method based on Reed-Solomon generator polynomials for different code rates. We show that such codes have different free distance values, ...