Nowadays, AI technology is no longer a powerful tool for technology enterprises to start their own business and innovate, but a hot topic pursued and practiced by the whole people.
With the breakthrough and development of relevant technologies and the strong support of national industrial policies, artificial intelligence technology and application practice has appeared an upward trend. As an important direction and inevitable trend of the future development of science and technology, AI technology will go deep into every aspect of people’s life.
July tencent cloud + technique salon of the community, will be around the theme of the assignment of AI techniques can be used, the invitation from tencent and sichuan cloud detection technology AI technology experts in-depth sharing interactive, hope can help enterprises and developers to quickly learn more about the AI role in industry application of dribs and drabs, understand technology, application, time to run the AI development tide.
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Share the theme
Theme 1: Computer vision technology and application behind the popularity of Wechat moments
Lecturer: Cong Ye holds a master’s degree in electrical engineering and computer science from the University of Minnesota. Currently, he is a senior R&D engineer of Tencent Cloud AI Product Center and a former AWS AI technology manager of Amazon in the United States. He is responsible for leading the development of Lex, the AI cloud service behind Amazon Alexa intelligent voice assistant. In the years of cloud computing system research and development experience, responsible for leading the architecture design and development of several million user level products, and has rich experience in multinational team and project management.
Topic brief introduction: Do you know the image explosion application from friends circle? All kinds of military photos, photos of the Republic of China and children’s photos are constantly flooding the screen. Users only need to submit their own profile photo on the H5 page, can automatically generate multiple styles of face comparison, simple operation behind more computer vision technology and Cloud technology support.
What is the computer vision technology behind popular apps?
What is the path of learning to master these technologies?
This sharing will specifically introduce the basic combing and future trends of commonly used image AI technologies, including the architecture design of AI cloud services and the actual process of transforming AI technologies into products.
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Topic 2: How to Use OCR technology to “benefit” applications?
Ji Yongnan, senior AI technical expert, PhD, Department of Computer Science, University of Nottingham, Marie Curie Research Fellow. Now he is a senior researcher of Tencent Cloud Big Data AI Product Center. Responsible for Tencent Cloud and Huaxing Photoelectric and other image AI projects.
Topic Introduction: OCR technology is a technical method to detect and recognize text from images, which has a wide range of application scenarios in real life. For example, the electronic scanning of books, automatic information collection of all kinds of bill documents and key field extraction of identification documents, etc., provide efficient, intelligent and convenient personalized solutions for all industries, and play a significant role in improving work efficiency and reducing application costs. In the practice of AI technology, Tencent Cloud has successfully applied OCR technology to many application scenarios with obvious results through the support of Youtu Laboratory.
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Topic three: Smart Site: application practice of performance attendance system
Introduction to lecturer: Wu Chen, R&D Director of Sichuan Yunjian Technology Development Co., LTD. Good at product analysis and team building, with more than 10 years of r&d team management experience, organized and participated in the development of many software products and the construction of ministry and provincial information platform. In 2017, it was selected into the expert database of highway and water transportation engineering test and testing, and participated in the compilation of industry management specifications.
Topic Introduction: In order to realize the information goal of intelligent construction site, the performance and attendance management system based on face comparison and LBS positioning was born. The performance attendance system is mainly composed of fixed face attendance machine, mobile attendance APP, attendance server, attendance cloud platform and so on.
In order to ensure that the key staff of the project participant must be present at the project site, the product effectively uses Tencent cloud AI technology to empower them, involving Tencent cloud basic services, face comparison, live verification, identity verification, SMS, location services and other subdivision technologies. Not only effectively solve the traditional attendance system “stubborn disease”, but also a number of projects to promote the application, attendance data reliable and accurate.
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Topic 4: Effective breast cancer Detection? AI gives you a hand!
Cheng Jiang, senior researcher of Tencent Miying. He received his ph. D. degree from The State Key Laboratory of Information Engineering of Surveying, Mapping and Remote Sensing, Wuhan University. He has been engaged in computer vision related research for many years. After joining Tencent, I was responsible for Tencent Miying breast cancer AI research and development, and the projects I was responsible for were landed in many large third-class a hospitals.
Activity Introduction: Nowadays, breast cancer has been widely valued by the industry, and has attracted attention as the main disease direction of Tencent Miying. It is reported that breast cancer molybdenum target products have been in dozens of large hospitals landing, widely praised.
This sharing mainly introduces Tencent Miying’s progress in breast cancer AI research and development, including breast molybdenum target, breast MRI, and breast pathology, so as to better understand the public and identify many aspects of breast cancer through AI technology.
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Theme 5: Explore game AI and let you know more about development changes.
Introduction to lecturer: Wang Liang, joined Tencent in 2013, engaged in big data prediction and game AI research and development. Currently, I am mainly engaged in research and development related to game AI, integrating AI technology with business scenarios to improve user experience. Graduated from Huazhong University of Science and Technology with a master’s degree in Computer Software and Theory in 2011. Worked in Taobao from 2011 to 2013, mainly engaged in the research and development of product search relevance algorithm.
Topic introduction: Alphago defeated lee Sedol, the top human chess player, this thing is not difficult; There is still a long way to go to educate ordinary people about AI and help advance AI technology research.
Based on this background, this share will mainly cover the common modeling methods and related progress of game AI in industry and academia, as well as specific cases of exploration and practice of AI in MOBA games. Through the explanation of AI technology, it will in-depth show many changes in game AI development.
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Time and venue
Time: 2018.07.28 14:00-18:00 Saturday
Venue: Beijing North Fifth Ring Coffee (Li Ka-shing East Hall, 2nd Floor, Gate 3, National Aquatics Center, 11 East Tianchen Road, Chaoyang District, Beijing)
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Intelligent life we become more and more close, in medical applications, games, industries and many more and more, to solve the more and more human hard and regulatory issues, that in today’s rapid development, AI how can better faster to achieve more applications, 7.28 Beijing shibei five rings, coffee, we bring you a dark day seem bright.
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This event is organized by free programming learning platform
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Python Chinese community as a decentralized global technology community, to become the world’s 200000 Python tribe as the vision, the spirit of Chinese developers currently covered each big mainstream media and collaboration platform, and ali, tencent, baidu, Microsoft, amazon and open China, CSDN industry well-known companies and established wide-ranging connection of the technical community, Have come from more than 10 countries and regions tens of thousands of registered members, members from the Ministry of Public Security, ministry of industry, tsinghua university, Beijing university, Beijing university of posts and telecommunications, the People’s Bank of China, the Chinese Academy of Sciences, cicc, huawei, BAT, represented by Google, Microsoft and other government departments, scientific research institutions, financial institutions, and well-known companies at home and abroad, nearly 200000 developers to focus on the platform.
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