GaN: The Best Choice for Differentiated Competition in Bidirectional Inverters

GaN: The Best Choice for Differentiated Competition in Bidirectional Inverters

In recent years, with the growth of demand for self-driving tours, outdoor camping, and emergency power supplies, portable energy storage is ushering in a new development opportunity. On November 11, at the 2022 International Integrated Circuit Exhibition and Seminar (IIC Shenzhen) High-Efficiency Power Management and Power Device Forum, Dr. Hu Zongbo from Zhuhai GaN Future … Read more

Self-Heating and Trapping Effects in GaN HEMT Models

Self-Heating and Trapping Effects in GaN HEMT Models

Source: SPICE Model Original Author: Ruo Ming The rapid adoption of Gallium Nitride (GaN) technology in 5G base stations, satellite communications, and other applications has raised the bar for transistor modeling. In particular, the latest version of ADS supports ASM-HEMT 101.4 and MVSG_CMC 3.2.0 GaN HEMT models. For device modeling engineers, accurately extracting the model … Read more

5G Era Compound Semiconductor Titans: GaAs/GaN

5G Era Compound Semiconductor Titans: GaAs/GaN

Chasing 5G, GaAs/GaN Remains the Absolute Star. Due to the higher frequency bands and larger bandwidths of 5G solutions compared to 4G, the path loss is relatively greater, which poses new requirements for the material performance of RF front-end devices: 1) larger bandgap; 2) higher critical breakdown electric field; 3) higher thermal conductivity; 4) higher … Read more

Joint Optimization Algorithm for Pilot Configuration and Channel Estimation Based on GAN

Joint Optimization Algorithm for Pilot Configuration and Channel Estimation Based on GAN

0 Introduction Channel estimation is a fundamental issue in wireless communication systems, and its accuracy has a significant impact on applications such as signal recovery, interference management, and wireless resource allocation. Based on whether pilot signals are sent, channel estimation methods can be divided into three categories: blind channel estimation, pilot-based channel estimation, and semi-blind … Read more

GAN Implementation in iQIYI Short Video Recommendation Cold Start

GAN Implementation in iQIYI Short Video Recommendation Cold Start

Introduction: Due to the cold start problem in recommendation systems, recommending new videos to users in video recommendations is a highly challenging issue. The effectiveness of new video recommendations directly affects the stability of the recommendation system’s “metabolism” and the healthy development of the content ecosystem. To address this issue, this article mainly introduces the … Read more

Complete Theory Derivation, Proof, and Implementation of GAN

Complete Theory Derivation, Proof, and Implementation of GAN

Source: Machine Heart Author: Jiang Siyuan The length of this article is 8300 words, recommended reading time is 8 minutes This article will start from the original paper, using Goodfellow’s speech at NIPS 2016 and Li Hongyi’s explanation from National Taiwan University, to complete the derivation, proof, and implementation of the original GAN. This article … Read more

Generative Adversarial Networks: Intuitive Principles and Simple Applications

Generative Adversarial Networks: Intuitive Principles and Simple Applications

On September 17, Professor Fan Lei from Capital Normal University shared a presentation titled “Generative Adversarial Networks – Intuitive Principles and Simple Applications” at the Yuanzhuo Academy. He introduced the basic concepts of Generative Adversarial Networks (GANs) and constructed a simple GAN model to help everyone understand the memory of familiar problems. Professor Fan introduced … Read more

Comprehensive Guide to Learning Resources for GANs

Comprehensive Guide to Learning Resources for GANs

Source: New Intelligence This article contains approximately 2600 words, and is recommended for a 10 minute read. This article compiles everything you need to know about GANs. [ Guide ]Want to learn everything about GANs?Someone has already organized it for you!From paper resources to application examples, to books, tutorials, and beginner guides, whether you are … Read more

Research Progress and Prospects of Generative Adversarial Networks

Research Progress and Prospects of Generative Adversarial Networks

Click above to subscribe to “China Computer Federation” easily! Source: “China Computer Federation Communication”, 2017, Issue 11, “Column” GAN: Generative Adversarial Networks Generative Adversarial Networks (GANs) are a concept proposed by Ian Goodfellow in 2014 that uses adversarial methods to generate data. Imagine we have two images, one real and one fake. How can humans … Read more

How GAN Controls Image Generation Style? Detailed StyleGAN Evolution

How GAN Controls Image Generation Style? Detailed StyleGAN Evolution

Click on the above “Visual Learning for Beginners”, select to add “Starred” or “Top” Important information delivered at the first time Source: WeChat Official Account Machine Heart Authorized Can GAN systematically control the style of the generated images? Do you understand your style? Most GAN models do not understand. So, can GAN systematically control the … Read more