CSDN AI Weekly <2019-05-23 Issue 66>
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industry
华为四面受敌：ARM釜底抽“芯”，英电信公司暂停开售华为5G手机
On the evening of May 22, according to internal documents obtained by the BBC, British chip designer ARM (acquired by SoftBank in 2016) will suspend all business with Huawei. According to the report, ARM instructed its employees to suspend “all ongoing contracts, licenses and any contracts under negotiation” with Huawei and its subsidiaries to comply with the recent US trade ban.
In recent years, AI painting has become a hot topic that everyone pays attention to, from the initial simple strokes, to anime-style paintings, to the generation of real human faces... The rapid growth of AI painters seems to mark the rise of a new star in the painting industry. Up. How does AI learn to paint? In this article, the battalion commander combed through the growth history of AI painting and took everyone to approach this new painter.
ICML 2019接受论文：清华、北大领跑，谷歌强压枝头，BAT略显“低调”
In June this year, ICML 2019, the top conference in the field of machine learning, will be held in the United States. In order to help everyone better understand the situation of the conference papers, Bosch analysts conducted a visual analysis of ICML 2019 papers. On this basis, the battalion commander further compared the acceptance of papers in 2018 and 2019, and focused on the areas that several major institutions focused on in the papers submitted by ICML 2019.
Remember the American drama "The Handmaid"? Don't worry about answering, this time we will not talk about the plot, but the publisher behind the show is the Hulu website. The website is the second largest paid online video platform in the United States, mainly providing movies and TV on-demand services and live TV services. As of the end of April this year, it has nearly 29 million paying users in the United States.
商汤“变法”：推中小学AI教材，mini自驾车，要打造AI时代的「清明上河图」
In the field of smart cities, SenseTime has launched an “end-side-cloud” integrated solution, which includes SensePass industrial-grade visual face recognition access control machine, supports 20,000 offline face databases and fast recognition in 0.3 seconds; and in education, Through the introduction of basic AI teaching materials, SenseStudy AI experimental platform, SenseRover series cars, and a variety of artificial intelligence basic education products, a complete artificial intelligence basic education ecology will be built.
腾讯优图贾佳亚：当AI进入产业应用时代时，计算机视觉技术更应该服务于人才对！
AI is moving from the laboratory to the industry, and the application is gradually deepening. Based on the application and exploration of computer vision technology in medical, security, industry, autonomous driving and other fields, Jia Jiaya told reporters, "Computer vision AI technology is in the traditional industry. Landing applications will be more vertical and in-depth, effectively helping traditional enterprises to reduce costs, increase efficiency, and improve quality, and drive the intelligent upgrading of the industry."
AI learning resources
掌声送给TensorFlow 2.0！用Keras搭建一个CNN | 入门教程
On March 6, 2019, Google released the latest version of the TensorFlow framework TensorFlow 2.0 at the TensorFlow Developer Annual Summit. The new version has made significant improvements to the way TensorFlow is used, making it more flexible and more user-friendly. The specific changes and additions can be found on the TensorFlow official website. This article will introduce how to use TensorFlow2.0 to build and deploy an end-to-end image classifier, as well as the additions in the new version.
千亿级照片，毫秒间匹配最佳结果，微软开源Bing搜索背后的关键算法
With the popularity of the Internet, search has become one of the most commonly used basic functions, but what is the secret behind this? Recently, Microsoft introduced how they responded to changes in user search habits and open sourced the algorithms behind Bing search.
At the beginning of 2018, Google released a deep learning model automatic construction tool-Cloud AutoML, which triggered a broader discussion on AutoML. In this article, the battalion leader will recommend a resource organization project for AutoML on GitHub. The author of the project compared the characteristics of AutoML and traditional deep learning, and provided a complete list of resources about AutoML, including papers, tutorials, teaching materials, models and projects, PPT, etc.
Recently I saw a very interesting Python game clearance website on the Internet. There are a total of 33 levels. Each level needs to use Python knowledge to solve the problem to find the answer, and then enter the next level. The game is a test of the comprehensive mastery of Python. For example, some pass through the level need to use regular expressions, and some need to use crawlers. We usually learn Python in the order of chapters, packages or modules, which is easy to forget before and after. It just so happens that you can use this website to comprehensively test your mastery of Python, so as to check for deficiencies.
Recently, Qi Yanjie, a technical expert at the Weibo R&D Center, said in an interview with the AI Technology Base Camp, “Weibo has always been committed to building a social media platform based on user relationships, allowing users to obtain friends’ updates in time and discover new things anytime and anywhere. How not to miss the important Information? It’s obviously unrealistic to let users refresh their watch list every 5 minutes. A more efficient way is to use system push notifications, but push is a strong interruption behavior. How to do a The Push recommendation system that can make users happy to eat melon is a very interesting thing."
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