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| The Milestone Year of New AI: Review of Hotspots in Artificial Intelligence and Intelligent Technology |
| SHEN Tianyu1, ZHANG Hui2, YE Peijun3, WANG Fei-Yue3 |
1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029;
2. School of Computer Science and Technology, Beijing Jiaotong University, Beijing 100044;
3. The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190 |
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Abstract In 2024, a milestone year for new artificial intelligence(AI), significant breakthroughs were achieved in the field of artificial intelligence. This paper reviews the hotspots and trends in artificial intelligence from various aspects, including large models and embodied intelligence, artificial intelligence generated content(AIGC), AI agents, AI for Science(AI4S) and Science for AI(S4AI), as well as AI-related policies and platforms. With the rapid advancement of large models and AI agent technologies, the application of AI continues to expand, leading to new impacts across various industries. The construction of policies and platforms is continuously improving, and new quality productive forces are showing greater development potential. For autonomous intelligence, the "new AI", the emergence of more milestone works are being expected.
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Received: 27 May 2025
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| Fund:Supported by Beijing Natural Science Foundation(No.4252048), National Key Laboratory of Hybrid Human-Machine Augmented Intelligence of Xi'an Jiaotong University(No.HMHAI-202416), Fundamental Research Funds for the Central Universities(No.buctrc202413) |
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Corresponding Authors:
WANG Fei-Yue, Ph.D., professor. His research interests include modeling, analysis, and control of inte-lligent systems and complex systems.
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About author:: SHEN Tianyu, Ph.D., associate profe-ssor. Her research interests include embodied intelligence, machine vision and intelligent perception.
ZHANG Hui, Ph.D., associate professor. Her research interests include multi-agent co-llaboration, domain adaptation and multi-modal perception.
YE Peijun, Ph.D., associate professor. His research interests include management and control of complex systems, cognitive computing, multi-agent systems, and intelligent transportation systems. |
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2025, Vol. 38 
