The 2017 global assembly machine learning technology

Source：Updated：2017-04-27 08:32:51

Represented by machine learning technology, artificial intelligence has been recognized as the industry since the Internet is the greatest technological revolution.Through the deep learning algorithms, big data and computing hardware that three aspects of the accumulation and transition, IT industry is finally usher in a new round of Paradigm shift (lot Sift) : the computer is no longer according to the preset program to perform human command in advance, but through the "look" (computer vision), "hear" (computer) hearing, "read" (natural language processing), and other ways on the basis of experience based on the data to make decisions and actions beyond the human intelligence.

The acquired by machine learning intelligence has a profound on the AlphaGo, and then will bring human beings in all fields mammoth revolution: autopilot, health care, finance, electricity, social, energy, education...Sweeping the world of artificial intelligence technology revolution up slowly, just like that.As amazon CEO Jeff bezos has said "artificial intelligence will introduce a lot of changes, and machine learning will help those who actively embrace their companies, the company of those who resist change constitute barriers".

In order to promote the development of artificial intelligence and Machine Learning techniques and practical communication, "2017 global Machine Learning technology conference (Machine Learning Summit)" will be on 29 June 2017-30 Jin Maowan li in Beijing held a grand hotel.Conference invited more than 40 global technology leaders and experts in the field of machine learning, they all come from the AI has the leading technology companies with a broad range of influence, both in the field of AI enclosure siege of Google, Facebook, Microsoft such platform type giants, including its distinctive Skymind, Operator, Boomtrain such entrepreneurial talent in silicon valley;At the same time, it is like a Uber, Netflix, Esty, Pinterest by machine learning has dug to frolic in the waves of gold enterprises, domestic, of course, in the field of AI aggressively to ali, tencent and other giant natural also will not be absent.

As the largest in the field of artificial intelligence engineering practice oriented technology conference, "technology of actual combat driver" is the core of the 2017 global machine learning technology conference.Assembly through the keynote, interactive discussion and case sharing, high-end training form, the depth of machine learning are a line in the industry best practice and innovative applications, help enterprise managers, architects, technical director, the development manager to meet the arrival of the "artificial intelligence".

Meeting time: June 29-30, 2017

Location: Beijing Jin Maowan hotel (57) in dongcheng district wangfujing street

The fascinating to watch for:

A large coffee leading, technology leader and industry

Invited from machine learning field at home and abroad, including Google, Microsoft, Facebook, Uber, Netflix, ali, tencent, etc., including more than 40 distribution industry technology leader, and a line of industry experts, authoritative convergence, lineup unprecedented.

Second, the insight into the global development trend of machine learning field

Conference through nearly 50 theme lectures, interactive discussion and case sharing, authoritative interpretation from top experts, insight into the world frontier development trend of machine learning field.

Three, from a case analysis of the industry share with dry goods

Speech are all a line from industry experts, to share in all areas of practice cases, multiple brainstorming, help the essence of the participants refining industry experience, depth resolution best practices, dry goods.

Fourth, set up machine learning technology personnel in the field of communication platform

Assembly gathered nearly 1000 in artificial intelligence from mainstream technology company related enterprise technology policy makers, architects, technical director, system engineer, high quality technology to network, for technical communication link between the depth of the social, the IT elite exchange feast.

The special guest:

Ying, Lu

At present in the Google data science director, is responsible for the Google Play store kernel analysis, including experimental design, data validation, visualization and intelligent monitoring tools.Before that, he served as Disney's chief engineer, main machine learning in recommender systems and the application of the bot.Ying, also worked as decision-making scientist at Microsoft, a research scientist in Amazon, leadership development and research of machine learning.

Zhang unless otherwise

The senior director of artificial intelligence and research at Microsoft.Now Microsoft (silicon valley) lead the team responsible for bing advertising platform algorithm and machine learning model and large-scale offline and online system development and operation.Support includes bing and yahoo search engines, amazon, AOL, many applications.Join, director of Microsoft research former Yahoo scientists and director of research and development, management, data mining and related to optimize department operates the Yahoo search and display ads algorithm for the global market, and systems.

Feng Zhu,

The current data as a senior scientist at Microsoft Seattle headquarters, to lead a team using machine learning technology for the various problems in Azure business solutions.Before Microsoft, Feng worked as research scientist at Amazon, using machine learning techniques to pay for products provide technical solution proposal to the fraud detection and risk management.Feng received a doctor's degree in electrical engineering university of Notre Dame in the United States.

Li Erran

Technical director, Uber machine learning platform, computer science at Cornell university.Before joining Uber, Li Erran at bell LABS has 14 years of working experience, the main research direction of artificial intelligence, machine learning algorithms and system.Li Erran at the same time in the computer science as an associate professor at Columbia University.He was still IEEE Fellow and ACM distinguished scientist.Adam Gibson, artificial intelligence company Skymind co-founder and chief technology officer, founder of the open source framework Deeplearning4j, computer scientists.Deeplearning4j is written for Java and Scala's first commercial grade open source distributed deep learning library.Adam's Skymind bringing deep learning to fortune 2000 companies and governments.

Chris Monberg

Boomtrain co-founder and chief technology officer.Boomtrain is a marketing platform for the artificial intelligence, deal with every day billions of user operations, real-time access to each user's interest and user behavior.Then, push, SMS automatically by email and customer communication.Chris served as global design company Hornall Anderson, vice President of interaction.

Yang jun

Team leader ali cloud iDST large-scale deep learning algorithm, for large-scale development, construction of distributed machine learning, optimization, and ground application in different business scenarios have a more thorough understanding and awareness.Bear in qihoo 360 technology department architect, Yahoo!Beijing r&d center, head of the bear system technology.

Company's

Tencent cloud, head of the machine learning platform, T4 experts.Currently responsible for tencent DI - X machine learning platform construction, and the development of the high latitudes machine learning framework Angel power tencent internal various data and machine learning business rapid development.Company in the field of distributed computing and machine learning, has rich experience in research and development, also is the Spark of the early researchers and one of the preacher.

Xiangjun Wang

Netflix machine learning senior engineers, responsible for and numerous core r&d Netflix video personalized recommendation system, provide a source of primary users broadcast traffic.Help the company users and play time exponentially, and team get emmy personalized recommendation algorithm.Before joining Netflix, worked at AT&T is engaged in the search, natural language understanding, and personalized recommendation model research and development work.

Loud jieren

The e-commerce platform Etsy data science director, to provide Etsy personalization and recommendations, search, advertising, image processing and deep learning of calculation and text information mining aspects based on machine learning in optimization of the product.Former yahoo, a senior scientist and senior manager of research and development institute, personally leading and participate in the research and development of a number of large-scale machine learning system.

Shuang Yang

Smart electricity company Operator co-founder and chief scientist, is responsible for the Operator of artificial intelligence and data science research and development and the technical strategy of the company business.Before join Operator, in Twitter, Twitter's chief scientist, the leadership team is responsible for the Twitter in the understanding of the global content, personalized recommendation, in the field of natural language understanding, and machine learning research and engineering development.

Yun-song guo

Pinterest competent engineers, Pinterest homepage recommend one of the founders of the team, is responsible for recommend the research and implementation of the model.R&d launched a series of recommended model will Pinterest homepage user activity increased by several times, make Pinterest monthly active users over fifty million people worldwide.Before joining Pinterest, Goldman sachs and others who have served in London and Hong Kong Citadel, is engaged in the algorithmic trading, high-frequency trading.

Peng Yao

Seven cattle AI lab, founding director, chief technology officer at seven NiuYun dominate seven NiuYun architecture and the development of artificial intelligence.In deep learning algorithms and rich media big data fields have in-depth study, worked in IBM global system science and technology laboratory as head of research and development for many years, is a distributed algorithm, deep learning and so on a number of senior technical experts in the field of industry, has published more than 10 articles of American patent.

Lin Hui

Fluent in English said chief scientist, the founder of the joint.Research scientist, a former Google headquarters, is responsible for the Google speech recognition research and development of the core algorithm.He developed and launched a multilingual speech recognition system, the system for the United States patent, and implanted Google android.Through the recognition system, the user can use a variety of language voice search directly, without first to manually switch to voice input languages.

Lecturer in progress...

Assembly limited-time offers hot application, and machine learning technology to dry before the meeting.