Have you noticed that we live in a world surrounded by AI: intelligent speakers, voice assistants, simulation robots, automatic translation, driverless cars, AI education, AI medical care… AI is affecting our lives more and more.


But if you think about it, the more mature applications of AI are limited to just a few areas. Many of the actual experiences they bring are not satisfactory, and in some cases, they are nicknamed “artificial retardation”, which actually reflects the problem of technology being compromised when applied.

AI applications are not as good as expected

For the so-called “landing difficult” problem. Professor Yang Qiang of Hong Kong University of Science and Technology said that technology has achieved great success in the laboratory environment, but when it is applied to real life and production, it often fails to achieve the expected results and solve problems.

This is because AI can not be used directly like Office and other applications. AI models require training, and training generally requires labeled data, adding experience to the model, finding appropriate feedback, helping to expand the model, and integrating disparate data to improve its applicability.

For different problems, different designs and solutions are needed. No matter how cool the theory is, if it fails to move to business and practice, it will be disjointed.

How can AI be used in practice? May make a lot of people headache, in addition to the need for active exploration, but also need experts to guide the maze.

Will you attend the meeting? Daniel’s kind

The AI Conference to be held in Beijing in June may bring you some new insights and inspirations from the perspective of industry veterans.


Because the conference, which brings Silicon Valley to China, will bring together many of the biggest names in the AI industry, they will focus on how to apply AI technology to real world scenarios.

Never heard of the meeting? That’s all right. Look who’s in charge!

Past conference guests have included some of the biggest names in AI, including Fei-fei Li, Michael Jordan, Rena El Kaiouby, Peter Norvig, Li Jia and Lili Cheng.


Guests of the last conference

This year’s confirmed lecturers are from a variety of technology companies, including Baidu, Google, Facebook, eBay, Bonsai, Uber, Microsoft, Alibaba, Amazon, SAS, Unity, SalesForce, IBM, Berkeley, Stanford and Oxford University.

Among them, the first announced a few big guests:

Ion Stoica


Ion Stoica is the EECS Professor at the University of California, Berkeley, co-founder of AMPLab, Director of RISELab, and ACM Fellow.

He has extensive expertise in cloud computing, distributed systems and computer networking. His masterpieces include Apache Spark, Apache Mesos, Tachyon, Chord DHT and Dynamic Packet State (DPS). He co-founded Conviva and Databricks with the Developers of Apache Spark.

In addition, RISELab, which he leads, has a remarkable track record in its field. RISELab’s area of expertise is open source algorithms and platforms that ensure the feasibility, intelligence and security of computing systems by providing real-time decision-making.

In 2018, the National Science Foundation (NSF) awarded RISELab the Computer Expeditionary Award with a $10 million grant. In addition to the NSF Expeditionary Awards, RISELab has established long-term relationships with a number of major companies.

Pete Warden


Pete Warden is the Technical Lead for the Mobile and embedded TensorFlow Group within the Google Brain team.

Prior to Joining Google, He was the founder and Chief Technology Officer of Jetpac. He led the team that created a unique data product: analyzing data from more than 140 million photos on Instagram and turning it into guides for more than 5,000 cities around the world. He also wrote the world’s only beard detection image processing algorithm.

He is also the author of O’Reilly Media’s Public Data Book and Big Data Glossary, and the builder of several open source projects, including OpenHeatMap and Data Science Toolkit.

Gu Yangqing


Jia Yangqing is the author of the famous deep learning framework Caffe. After graduating from Tsinghua university, he received his PhD in computer science from the University of California, Berkeley, and later worked at the National University of Singapore, NEC’s US Lab, and Google Brain.

In 2016, Jia joined Facebook as a research scientist as director of AI architecture at Facebook, where he is responsible for cutting-edge AI platform development and research. He recently created quite a stir in the industry when he left Facebook to join Alibaba’s Dharma House.

He is highly skilled in developing open source deep learning software stacks, and many of the components he creates are industry standards in the field.

He is also the creator or co-creator of Caffe, TensorFlow, Caffe2, ONNX, and PyTorch 1.0. In addition, he has been working on the design and development of AI hardware and software ecosystems, as well as the fusion of AI research and traditional computer science science.

For more big-name guests, please go to the official website.

What kind of fairy fair is this?

AI Conference 2019 is hosted by O’Reilly and Intel AI in Beijing. The slogan of the Conference is “PUT AI TO WORK”.


The pomp and circumstance of the last congress

The purpose of this event is to realize the collision between AI research and practical application through the sharing and discussion of the conference.

There is an urgent and urgent need for information on AI applications. So the AI Conference is a platform for software developers and companies to communicate and learn from each other.

The conference will be held in Beijing from June 18 to 21, 2019, including training, teaching tutorials, keynote speeches and topic sharing.

Here you can distill case studies, delve deeply into the latest research findings, learn how to implement AI in your own projects, share emerging best practices in intelligent engineering and applications, reveal AI’s limitations and untapped opportunities, and participate in how AI can change the landscape of the business world.

The conference will cover the following topics:

AI in the Enterprise: Case Studies and Use Cases, industry specific Applications

AI’s impact on Business and Society: Automation, security, regulation

Implement AI projects: applications, tools, architecture, security

Interaction with AI: design, metrics, product management, robotics

Models and methods: Enhancement and machine learning, TensorFlow, deep learning, GAN, Natural Language processing and understanding, speech recognition, computer vision


At present, AI Conference 2019 Beijing station has started registration, and now it is in the stage of the most favorable ticket price (deadline: March 29), search for AI Conference or AI Conference, or register directly at ai.oreilly.com.cn/ai-cn!

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