AI-Driven Translation: The Evolution of Neural Machine Translation

AI-Driven Translation: The Evolution of Neural Machine Translation

New Intelligence Report Author: Hu Xiangjie 【New Intelligence Overview】 With AlphaGo’s victory over Ke Jie, the panic triggered by AI has spread not only in the Go community but also into almost every field, with translation being particularly impacted. The emergence of deep learning has greatly transformed machine translation: since 2013, neural network-based machine translation … Read more

Machine Translation: Born in the Cold War, Yet Rebuilding Babel for Humanity

Machine Translation: Born in the Cold War, Yet Rebuilding Babel for Humanity

This article is the seventh installment of the series “AI Legends” written by Mr. Chen Zongzhou, the editor-in-chief and president of Global Science. In this installment, Mr. Chen will lead us to review the development history of machine translation over the past half century. How did this field, which fell into a low tide shortly … Read more

Introduction to Unsupervised Machine Translation Without Bilingual Corpora

Introduction to Unsupervised Machine Translation Without Bilingual Corpora

Selected from Medium Author:Harshvardhan Gupta Compiled by Machine Heart Contributors: Liu Xiaokun, Lu Xue Last year, Facebook published a paper titled “Unsupervised Machine Translation Using Monolingual Corpora Only,” proposing unsupervised machine translation using monolingual corpora. Recently, an article on Medium interpreted this paper, and Machine Heart has compiled an introduction to it. Deep learning is … Read more

Can Vision Transformers Surpass CNNs in Image Recognition?

Can Vision Transformers Surpass CNNs in Image Recognition?

Machine Heart reports Machine Heart Editorial Department In the field of computer vision, Convolutional Neural Networks (CNNs) have always been dominant. However, researchers are continuously attempting to apply Transformers from the NLP domain to cross-disciplinary studies, with some achieving quite impressive results. Recently, an anonymous ICLR 2021 submission paper directly applied the standard Transformer to … Read more

NLP and Transformer Converge in Computer Vision: DETR as a New Paradigm for Object Detection

NLP and Transformer Converge in Computer Vision: DETR as a New Paradigm for Object Detection

Original by Machine Heart Author: Chen Ping Since the introduction of the Transformer, it has swept through the entire NLP field. In fact, it can also be used for object detection. Researchers at Facebook AI first launched the visual version of the Transformer—Detection Transformer (DETR), filling the gap of using Transformer for object detection, surpassing … Read more

DeepNude Technology Behind Its Removal from GitHub

DeepNude Technology Behind Its Removal from GitHub

Click the “AI Insight” above and select “Star” to follow the public account. Heavyweight content delivered first-hand. From: Open Source Frontline (ID: OpenSourceTop) Comprehensive from: https://github.com/yuanxiaosc/DeepNude-an-Image-to-Image-technology, programmers, etc. Some time ago, a programmer developed an application called DeepNude. “Is Technology Innocent?” The AI stripping app was taken offline just hours after its launch. The app … Read more

DeepNude Technology Insights After Removal

DeepNude Technology Insights After Removal

Click the “Deep Learning Column” above to select the “Star” public account Heavy content delivered immediately From: Open Source Frontline (ID: OpenSourceTop) Compiled from: https://github.com/yuanxiaosc/DeepNude-an-Image-to-Image-technology, programmers, etc. Some time ago, a programmer developed an application called DeepNude. “Is Technology Innocent? The AI Nudification App was taken down just hours after launch” The app is very … Read more

DeepNude Algorithm Clothing Removal Principle Analysis

DeepNude Algorithm Clothing Removal Principle Analysis

DeepNude algorithm “removing” clothes – Welfare Bar http://fulibus.net/deepnude.html First, the file is as shown Deep learning computer vision (speculated) Image Inpainting You can refer to NVIDIA’s paper using partial convolution and partial convolution-based filling to repair images with irregular holes. The code part of the paper is converted. Paper address: https://arxiv.org/abs/1804.07723 and https://arxiv.org/abs/1811.11718 In the … Read more

DeepNude Technology Insights Found on GitHub

DeepNude Technology Insights Found on GitHub

Source:OpenSourceTop ID:OpenSourceTop A while ago, a programmer developed an application called DeepNude. “Is Technology Innocent? AI Nudity App Taken Down Hours After Launch” The app is very simple to use: open the software → convert → generate a photo. Based on the results provided online, the effect can indeed be quite realistic, as shown below: … Read more

Where Do Knowledge Graphs Come From: The Current Status and Future of Entity Relationship Extraction

Where Do Knowledge Graphs Come From: The Current Status and Future of Entity Relationship Extraction

Machine Heart Reprint Authors:Han Xu, Gao Tianyu, Liu Zhiyuan This article is written by Professor Liu Zhiyuan from Tsinghua University and his students Han Xu and Gao Tianyu, introducing the topic of knowledge graphs. The article reviews the development of the knowledge graph field and summarizes recent research progress. It has been authorized for reprint … Read more