China News Service, Beijing, October 23 (Reporter Sun Zifa) Artificial Intelligence (AI) technology, known as "the future is here" and "omnipotent", is affecting human life and work through rapid development and widespread application. In all aspects, its future development trends have attracted widespread attention.
The theme meeting of the 2024 World Science, Technology and Development Forum "Artificial Intelligence Governance Innovation Builds an International Trust Foundation for Cultivating a Science and Technology Governance Ecosystem" was held in Beijing on October 23. Qiao Hong, academician of the Chinese Academy of Sciences and chairman of the World Robot Cooperation Organization, released "2024 Prospects for the Ten Frontier Technology Trends of Artificial Intelligence", including 4 AI common technologies, 3 large-scale pre-training models, 2 embodied intelligence, and 1 generative artificial intelligence. It is hoped to trigger thinking and discussion among the academic community and the public, and jointly promote The development and application of artificial intelligence technology.
The top ten cutting-edge artificial intelligence technology trends released that day are: "The rise of small data and high-quality data", "Human-machine alignment: building trustworthy AI systems", "AI 'Constitution': ensuring compliance and security", "Reliable Interpretable models: making AI more transparent and credible” “Pre-training model innovation under the law of scale” “Full-mode large models: breaking data barriers” “AI-driven new era of scientific research” “Embodied cerebellar model: giving robots real-time responses Capabilities" "Physical Artificial Intelligence System: Empowering the Physical World with Intelligence" "World Simulator: Creating a Digital World with Infinite Possibilities".
Among them, in terms of human-machine alignment, relying solely on data and algorithms is not enough to achieve human-machine alignment. Human values and ethics need to be transformed into reinforcement learning reward functions to guide the model to learn behaviors that are more in line with human expectations.
At present, the compliance, security and ethical issues of AI systems have become increasingly prominent, and it is particularly necessary to establish a supervision model framework. Its main purpose is to ensure that all AI systems follow established principles during development and use by formulating clear standards and specifications, thereby reducing the risk of overuse of AI without a defined system.
In terms of the law of scale, large-scale pre-training models based on massive parameters and training data can effectively improve human-computer interaction and reasoning capabilities, and enhance the diversity and richness of tasks that can be completed.
In terms of AI-driven scientific research, large models, generative technologies, etc. are used to enhance and accelerate the efficiency of hypothesis proposing, experimental design, data analysis and other stages in scientific research, and improve research efficiency and accuracy. This flexible and efficient research method greatly increases the possibility of discovering new scientific laws, thereby accelerating the process of scientific research.
As for the embodied cerebellum model, as an important regulatory center for robot movement, its core is to solve the problem of combining software algorithms with physical space, as well as the contradiction between high performance and versatility of a single body, so that the intelligent robot system can better meet the needs of the real world. precise operation and real-time control requirements.
Humanoid robots are the ultimate form of physical artificial intelligence systems. They not only have multi-modal perception and understanding capabilities, can naturally interact with humans, but can also make decisions and act autonomously in complex environments, and are expected to be applied to more complex tasks in the future. In a work scenario.
By comprehensively considering data quality, diversity, model training strategies and regularization techniques, the world simulator continuously improves the generalization ability of the generated model on unseen data. It combines with the digital interaction engine to provide an immersive high-simulation experience for users. It brings a richer and more diverse game world, can be used in education, entertainment and other fields, and can also create more super digital scenes.
Academician Qiao Hong pointed out that from intelligent manufacturing to smart cities, from medical health to financial services, artificial intelligence applications are everywhere, and its influence is far-reaching and widespread, but it also faces new challenges and opportunities. How to grasp the development direction of artificial intelligence, how to promote technological innovation and industrial upgrading, and how to ensure the sustainable development of artificial intelligence technology all require in-depth thinking and discussion.
She said that in general, the development of artificial intelligence is promoting technological progress and social change at an unprecedented speed. Whether it is AI common technology, large-scale pre-training models, embodied intelligence or generative artificial intelligence and other cutting-edge fields, they are full of challenges. Infinite possibilities and potential. The development of these technologies will not only bring people a more convenient and efficient lifestyle, but will also promote innovation and development in all walks of life.