Abstract Language models have been successfully used to model natural signals such as images, speech, and music. A key component of these models is high-quality neural compression models that can compress high-dimensional natural signals into lower-dimensional discrete tokens. To this end, we propose a high-fidelity universal neural audio compression algorithm that can compress 44.1 KHz … Read more
In an exciting racing competition held in Toulouse, Antonin Raffin and his friends successfully designed and programmed an autonomous racing robot. This robot is powered by Raspberry Pi, Arduino Uno, and Pi camera, utilizing Python, C++, and neural network technology to achieve real-time image processing with an astonishing operating speed of 60 frames per second. … Read more
In today’s technological era, Artificial Intelligence (AI) has become a hot topic. While many modern machine learning frameworks are written in high-level languages like Python, we can still implement some basic AI algorithms using C, especially neural networks. This article will introduce how to build a simple neural network in C and provide example code … Read more
Author | Sanhe Factory Girl Source | See “Read the Original” at the end Concept When optimizing more than one objective function in a single task, it is referred to as multi-task learning. Some Exceptions “Multi-task of a single objective function”: In many tasks, the losses are combined and backpropagated, effectively optimizing a single objective … Read more
Click at the end of the article to read the original text and jump to our biweekly newsletter homepage, where you can read the version with item hyperlinks. Industry News AAAI 2018 | Alibaba Proposes Extremely Low-Bit Neural Networks for Deep Model Compression and Acceleration | Machine Heart Review: The internationally renowned artificial intelligence academic … Read more
Autonomous driving systems are extremely complex, integrating numerous cutting-edge technologies, including perception and decision-making capabilities. Only carefully designed hardware can support these resource-intensive tasks. Moreover, autonomous driving is one of the first embedded applications that heavily rely on machine learning algorithms. Given this, a significant amount of research resources has been invested in the development … Read more
June 4, 2019 Original Author: Felix Yu, Source: https://flyyufelix.github.io/2019/06/04/pixmoving-hackathon.html Using style transfer as a data augmentation technique to improve model robustness 1. Introduction During my time in the United States last year, I attended several Donkey Car meetups and noticed that Donkey Cars using end-to-end neural networks (i.e., directly outputting steering and throttle) performed worse … Read more
What functions can be achieved by combining the ESP32 screen module with an LED light board? The project presented today only requires a swipe on a 4.3-inch touchscreen, and the neural network can instantly understand your handwriting and display the number you wrote on an 8*8 LED light board. Isn’t it amazing? Let’s see how … Read more
Today, let’s talk about NPU. While everyone is quite familiar with common computing units like CPU and GPU, the working principles and specific functions of NPU may not be as clear. NPU stands for Neural Network Processing Unit, which is a neural network processor. As the name suggests, it is a computing unit specifically designed … Read more
The Role of C Language in Deep Learning: Methods and Examples In the field of deep learning, Python is often the preferred programming language due to its vast ecosystem and rich library support. However, in certain specific scenarios, the C language is particularly important due to its high performance and low-level control capabilities. In this … Read more