Roundtable: People and Artificial Intelligence
Since the development of artificial intelligence, it has become the core driving force of a new round of scientific and technological revolution and industrial transformation, and is having an extremely profound impact on the global economy, social progress and people's lives. The Zhongguancun Forum Parallel Forum will be held on May 27, 2023, inviting academicians, experts and business representatives to discuss together. Guests participating in the meeting provided suggestions on how to accelerate the high-quality development of the capital's artificial intelligence industry, the current status and future development trends of large models, and the cultivation of cross-innovative artificial intelligence talents with a sense of social responsibility and an international perspective. Participants believed that artificial intelligence technology will have a profound impact on the overall economic development pattern, and it is expected that by 2025, Beijing will become a national highland for the development of the general artificial intelligence industry with international influence.
Dai Qionghai, Academician of the Chinese Academy of Engineering
Dai Qionghai, Academician of the Chinese Academy of Engineering
Artificial intelligence has a profound impact on the overall economic development pattern
The development and application of artificial intelligence technology not only generates and promotes industrial restructuring, but also has a profound impact on the overall economic development pattern, social organizational structure, and even human behavior. The development of artificial intelligence has reached a new climax. Discussions need to be organized systematically and specifications improved to cultivate cross-field talents to meet the challenges of artificial intelligence.
Haidian District is a place where artificial intelligence companies and talents are highly concentrated. It has a large number of national scientific research institutes, universities and leading companies, unicorn companies, and fast-growing companies. It has leading basic research on artificial intelligence and key core technologies. With its natural advantages in R&D and industrial development, it is hoped that Haidian District will seize key nodes in the development of artificial intelligence, further increase the popularization and professionalization of artificial intelligence education, and strengthen the top-level design of relevant policies.
Deng Zhihua, Academician of the International Eurasian Academy of Sciences
Deng Zhihua, Academician of the International Eurasian Academy of Sciences
Beijing will become a highland for the development of the general AI industry in 2025
my country’s artificial intelligence industry system has been initially established, and the industry is developing well. For example, the cultivation of open service platforms, joint laboratories, and talent recruitment is remarkable, basically covering industrial clusters with coordinated development of the entire industry chain. It is expected that by 2025, Beijing will become a universal artificial intelligence industry with international influence in the country. A highland for the development of intelligent industry.
In terms of industrial bases, core areas such as Haidian and Zhongguancun have gathered many high-level international artificial intelligence demonstration enterprises and projects, and the industrial parks they have built are increasingly influential; Beijing ranks first in the country in terms of the number of existing artificial intelligence enterprises. On the issue of how to accelerate the advancement of Beijing's artificial intelligence industry with high quality, we must give full play to existing advantages and introduce talents in a targeted manner; we must focus on top-level design and key areas, especially promoting the implementation of technological breakthroughs; we must cultivate a group of key technology research and development As a leading enterprise, we will accelerate the transformation and upgrading of a number of traditional industries and break through the blocking points of underlying core technologies.
Zeng Yi, researcher at the Institute of Automation, Chinese Academy of Sciences
Zeng Yi, researcher at the Institute of Automation, Chinese Academy of Sciences
Cultivate high-end artificial intelligence talents with social responsibility and international vision
There are two key words for cultivating high-end artificial intelligence talents. The first keyword is social responsibility, and the second keyword is having an international perspective. It is necessary to build such high-end artificial intelligence talents. In the future, artificial intelligence talents should be responsible for society. People must be responsible for building the science, technology, services and applications of artificial intelligence. It is not just artificial intelligence that must be aligned with humans. This is very important.
Artificial intelligence has scientific attributes and needs to establish a scientific system. However, the scientific system of artificial intelligence is not only related to natural sciences, but also closely related to humanities and society. In the future, the training of artificial intelligence talents needs to add courses and practices in artificial intelligence and life philosophy, ethics and governance of artificial intelligence, and legal regulations of artificial intelligence.
Liu Miao, CTO of No.9 Co., Ltd.
九号有限公司 CTO Liu Miao
Let artificial intelligence gradually penetrate into all aspects of life
The important thing is how to effectively utilize artificial intelligence technology, rather than treating it as a science. Take the smart mobile shared scooter launched by Nine Co., Ltd. as an example. On the one hand, it can send people to designated places. On the other hand, the scooter has automatic dispatching and can return to key places to charge, solving some traffic problems.
Enterprises provide scenarios for artificial intelligence applications, including data and computing power, while academia provides the soul. They can make five-year strategic plans every year to clarify how to use current technologies to empower products and bring better products to customers. The experience provides users with relatively clear value, and the combination of reality and reality allows artificial intelligence technology to gradually penetrate into all aspects of life.
Huang Tiejun, President of Beijing Zhiyuan Artificial Intelligence Research Institute
Huang Tiejun, President of Beijing Zhiyuan Artificial Intelligence Research Institute
Pure driverless driving may happen within decades
Today’s artificial intelligence is actually a large-scale, ultra-large model trained by a neural network model after humans express our cognition in language. Language models are very important and can be said to be the foundation of future large models. The explosion of large models is the development from information-based intelligence to physical-based intelligence. The perception capabilities of artificial intelligence will be greatly improved. Previously expected pure driverless driving, including robots entering manufacturing and households, may occur within a few decades. .
Although artificial intelligence has been very effective, its method of processing human brain signals is still very different from humans. Therefore, there will be a lot of room for development in this direction. In the next three years, models will definitely spread from language to vision, hearing, embodiment, action, robots, and autonomous driving. In the next ten years, we will definitely be in an era of intelligence. .
Huawei Ascend Computing Business CTO Zhou Bin
Huawei Ascend Computing Business CTO Zhou Bin
Artificial intelligence itself is a complex engineering problem
The use of artificial intelligence can greatly improve industrial efficiency. In the future, more productivity industry scenarios can benefit from large-scale artificial intelligence, such as operators and the financial field. Operators can provide network qualification operations and intelligent customer service systems, while the financial field can provide intelligent risk control and quantitative transactions. In the near future, artificial intelligence is expected to significantly increase productivity, improve the quality of life, and promote the efficiency of the entire society.
In the field of artificial intelligence, there are many huge engineering challenges, making it a complex engineering problem. Enterprises and academia can find a very good combination in this regard. On the one hand, a good engineering system can be used to support academic research. On the other hand, academic research can be quickly transformed into the entire industry, forming a virtuous cycle. This has a very large space for cooperation.
Artificial intelligence consumes a lot of resources, and these resources are usually very limited in the academic system. At this time, companies should take the initiative to help the entire academic community share it.
Beijing Business Daily reporter Song Yitong
The above is the detailed content of Roundtable: People and Artificial Intelligence. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP

Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application

Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it

To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/Translator|Jingyan Reviewer|Chonglou is different from the traditional question bank that can be seen everywhere on the Internet. These questions It requires thinking outside the box. Large Language Models (LLMs) are increasingly important in the fields of data science, generative artificial intelligence (GenAI), and artificial intelligence. These complex algorithms enhance human skills and drive efficiency and innovation in many industries, becoming the key for companies to remain competitive. LLM has a wide range of applications. It can be used in fields such as natural language processing, text generation, speech recognition and recommendation systems. By learning from large amounts of data, LLM is able to generate text

Machine learning is an important branch of artificial intelligence that gives computers the ability to learn from data and improve their capabilities without being explicitly programmed. Machine learning has a wide range of applications in various fields, from image recognition and natural language processing to recommendation systems and fraud detection, and it is changing the way we live. There are many different methods and theories in the field of machine learning, among which the five most influential methods are called the "Five Schools of Machine Learning". The five major schools are the symbolic school, the connectionist school, the evolutionary school, the Bayesian school and the analogy school. 1. Symbolism, also known as symbolism, emphasizes the use of symbols for logical reasoning and expression of knowledge. This school of thought believes that learning is a process of reverse deduction, through existing

Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A

Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S

According to news from this site on August 1, SK Hynix released a blog post today (August 1), announcing that it will attend the Global Semiconductor Memory Summit FMS2024 to be held in Santa Clara, California, USA from August 6 to 8, showcasing many new technologies. generation product. Introduction to the Future Memory and Storage Summit (FutureMemoryandStorage), formerly the Flash Memory Summit (FlashMemorySummit) mainly for NAND suppliers, in the context of increasing attention to artificial intelligence technology, this year was renamed the Future Memory and Storage Summit (FutureMemoryandStorage) to invite DRAM and storage vendors and many more players. New product SK hynix launched last year
