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The main venue of the AISummit Global Artificial Intelligence Technology Conference was spectacular, demonstrating that AI will bring a better future to the world.
The main venue of the AISummit Global Artificial Intelligence Technology Conference was spectacular, demonstrating that AI will bring a better future to the world.
AI technology was born less than a century ago. After experiencing several cold winters, it has achieved rapid development in the past 20 years. Artificial intelligence is gradually occupying fields such as finance, information, medical care, and autonomous driving. In this golden period of comprehensive development and implementation of artificial intelligence technology, how should we view the next decade of AI? What innovations will appear in AI technology in the future? The "AISummit Global Artificial Intelligence Technology Conference" organized by 51CTO will reveal the answer for you. On August 6,
"AISummit Global Artificial Intelligence Technology Conference"opened as scheduled in the form of an online live broadcast. In the morning main venue, Cui Kang, vice president and editor-in-chief of 51CTO, Dou Zhicheng, deputy dean of the Hillhouse School of Artificial Intelligence at Renmin University of China, Tian Yuandong, senior manager of the Meta/Facebook Artificial Intelligence Research Institute, and Pan, deputy dean of iFlytek Research Institute of HKUST Zhou Zongwei, a senior engineer and senior manager at Tsinghua University and Google, Xiang Liang, head of the Volcano Engine machine learning system, and Liu Yi, head of Microsoft's Bing advertising text generation algorithm, have provided tens of thousands of participants with the perspective of enterprise technology leaders. Participants interpreted the current status and trends of artificial intelligence technology, the latest research results that practitioners need to pay attention to, and the impact of cutting-edge technologies in the industry.
In the opening speech at the main venue, Mr. Cui Kang, Vice President and Editor-in-Chief of 51CTO expressed Understanding of the nature of artificial intelligence technology and expectations for the conference. He believes that with the development of artificial intelligence, it is no longer like a segmented technology in the IT field, but more like a general technology. In the context of the rapid development of artificial intelligence, we should face the contradictions between technology, industry and developers, and find new solutions and case clues.
At the same time, Mr. Cui Kang said that AI technology and AI developers are making the world a better place. We hope that this "AISummit Global Artificial Intelligence Technology Conference" can bridge the contradictions and gaps between technology, industry and developers, seek industrial implementation for technology, and seek technological breakthroughs for the industry. Find a career path forward for developers, promote the free flow of AI information, and promote the integrated development of technology, industry and developers.
Prospects for the Next Generation of Intelligent Search Technology
Search engines have been in existence for more than 20 years since their inception. The architecture hasn't changed much. With the development of the Internet and the popularization of smart devices, people's demand for information, especially complex information, is increasing day by day. Traditional search methods have gradually become unable to meet people's increasing demand for information. Dou Zhicheng, vice president of China Artificial Intelligence Hillhouse Institute of Artificial Intelligence, said in the keynote speech "Prospects of Next Generation Intelligent Search Technology" that currently the keyword input and document list input modes widely used by search engines have been No longer suitable for current information acquisition needs. Future search will have five characteristics: conversational, personalized, multi-modal, rich in knowledge, and de-indexed. It will be able to process multi-modal information and process and return knowledge. At the architectural level, in the future, we will definitely break through the existing model and gradually transition to a new model with the model as the core.
Opportunities and challenges of decision-making in real-world scenarios
In recent years, deep learning has made remarkable achievements in processing natural data input. However, how to use deep neural networks to process structured data and find a neural network solution that replaces human heuristic strategies for discrete optimization problems is still an unsolved core issue in the industry. In the theme sharing of "Opportunities and Challenges of Decision-making in Real World Scenarios", Meta/Facebook artificial intelligence researcher and senior manager Tian Yuandong introduced in detail how to use reinforcement learning with the help of actual work cases of the Meta/Facebook artificial intelligence team. Practical experience with search methods paired with neural networks to find heuristics for complex optimization problems.
Discussion on the Development Trend of Artificial Intelligence Technology
AI core technology continues to progress, developing towards multi-modal fusion perception and integration of software and hardware. AI technology The wide range of applications has given various industries better solutions. So at this stage, what challenges still exist in the development of AI technology?
In the keynote speech "Discussion on the Development Trend of Artificial Intelligence Technology", Pan Qinghua, deputy director of iFlytek Research Institute of HKUST, introduced to the participants the application of AI technology in education, medical care, transportation and other fields. The development status, implementation scenarios and existing challenges of perceptual intelligence and cognitive intelligence are discussed, and the new concept of cognitive intelligence 2.0 and the five major trends in the development of artificial intelligence in the next 5 to 10 years are proposed. "When AI empowers industries, it needs to build complex systems with human-machine collaboration and continuous evolution to profoundly change production methods. In the future, the use of AI technology in various industries will definitely be achieved by building different complex intelligent systems in various industries. "Pan Qinghua said.
Ten insights that influence Google’s artificial intelligence chip design
With the failure of Moore’s Law for computer processors over the past few years, machines Learning and artificial intelligence applications are becoming increasingly widespread, driving explosive growth in the demand for computing power. Under this trend, Google took the lead in discovering and proposing solutions based on domain-specific processors.
Zhou Zongwei, a senior engineer and senior manager at Google, gave a keynote speech on "Ten Points of Understanding that Affect Google's Artificial Intelligence Chip Design" and interpreted the ten insights that Google has gained in the design of artificial intelligence chips and the deployment of artificial intelligence applications in the past ten years. Points to understand, including DNN application development experience in Google for many years, as well as Google's summary of the industry's hardware and computer architecture development trends. Zhou Zongwei believes that chip developers and users should pay attention to the total resources consumed by the chip in long-term use, rather than simply designing based on the cost and price of the chip. "The manufacturing of artificial intelligence chips itself is not difficult. The real difficulty is the long-term co-evolution between the neural network application compiler hardware and software." Zhou Zongwei said.
Technical evolution of large-scale machine learning computing power
Since the popularity of deep learning increased in 2014, the computing power of GPU has increased to this day It has been improved dozens of times. The increase in computing power has had a huge impact on the business. It has greatly improved the performance of recommended advertising, CV, NLP, etc., and also paved the way for the implementation of large models.
In the keynote speech "Technical Evolution of Large-Scale Machine Learning Computing Power", Xiang Liang, head of the Volcano Engine Machine Learning System, introduced the development of AI computing power and computing power-related models in the past ten years, as well as the Volcano Engine Exploration in AI computing power. Xiang Liang believes that as AI computing power continues to improve, the physical bottlenecks of the future chip manufacturing process will become more and more obvious, and the increase in models will make it more difficult to implement in actual business. If you want to realize the implementation of large computing power, you need to find some new strategies in terms of computing power supply. In the following time, Xiang Liang took the Volcano Engine machine learning platform as an example to introduce his team's latest research results in scheduling layer, training network and storage.
Diversified search advertising text generation and online real-time matching
In the process of advertising text generation, The system needs to have offline and online systems, and the generation model needs to have pre-training, guided text generation, text quality evaluation, reinforcement learning and other segmented generation models, while ensuring that online text can be matched in real time.
In the last speech at the main venue, "Diversified Search Advertising Text Generation and Online Real-time Matching", Liu Yi, head of Microsoft Bing Advertising Text Generation Algorithm, gave the participants a detailed analysis of the text generation technology in Microsoft DeepGen. Including basic models used, diversified generation, etc. Liu Yi said that DeepGen’s goal is to provide comprehensive support for the entire search advertising and text generation. In terms of specific practice, Microsoft improves RPM by improving IY and CTR, and under this premise, ensures the stability of QBR as much as possible. At the end of the speech, Liu Yi mentioned: "DeepGen has brought considerable improvements to Bing's advertising system, and we will continue to work hard in this direction in the future."
Conclusion
The end is also a new starting point. The successful holding of "AISummit Global Artificial Intelligence Technology Conference" The research results of the technology are comprehensively summarized, and at the same time, it also provides more new possibilities for the industry to explore the future evolution and scenario implementation of artificial intelligence technology. It is hoped that this technology event in the field of artificial intelligence can become a new milestone in promoting the development of global artificial intelligence technology.
As Mr. Cui Kang, vice president and editor-in-chief of 51CTO and chief planner of the AISummit Conference, said, for artificial intelligence technology, we hope that AI is a means of technology doing good, and we hope that this time" AISummit Global Artificial Intelligence Technology Conference"" can set new goals for the future of artificial intelligence and tell the attendees that AI technology and AI developers are making the world a better place!
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