The "2024 Greater Bay Area Science Forum – Artificial Intelligence Sub-Forum and the 5th China (Guangdong) AI Summit" was held on the afternoon of November 17th in the Nansha District, Guangzhou. Centered on the theme "AI & Future", the event brought together top artificial intelligence (AI) experts and industry representatives from around the world to discuss cutting-edge technologies and applications in AI.

Gao Wen, an academician of the Chinese Academy of Engineering and director of Peng Cheng Laboratory, highlighted the early influence of AI, noting that in 1978, a Nobel Prize in Economics was awarded for advancements in general reasoning machine algorithms. He specifically referenced breakthroughs recognized by the 2023 Nobel Prize in Chemistry, driven by progress in protein structure prediction. According to Gao, AI has dramatically improved the accuracy of predictions in the international Critical Assessment of Structure Prediction (CASP) competition from 40% to over 90%, significantly accelerating protein structure analysis. He also discussed Peng Cheng Laboratory's supercomputing achievements: "Peng Cheng Cloud Brain II, powered by Huawei's proprietary chips, has topped the world's top 500 supercomputers in storage performance for eight consecutive times. Our third-generation equipment, expected to be completed next year, will provide robust computational power for AI development in China."

Henry Homayoun Radamson, an academician of the European Academy of Sciences, emphasized that AI has deeply integrated into the semiconductor industry, driving innovation across design, manufacturing, and materials research. He noted that AI-designed chips, in turn, enhance semiconductor production processes, creating a virtuous cycle. Radamson also showcased AI's combination with shortwave infrared imaging technology in fields like autonomous driving and healthcare. For instance, this technology enables object detection in total darkness and improves tumor surgery navigation through enhanced precision.

Khaled Ben Letaief, a foreign academician of the National Academy of Engineering, explored the convergence of 6G and AI. He predicted that by 2030, global mobile network traffic will far exceed the capacity of 5G. Letaief described 6G as an AI-powered intelligent network system that could realize Tesla's vision of a "global brain".

The forum also featured a roundtable discussion on key topics, such as AI's role in empowering industries. Mao Junfa, an academician of the Chinese Academy of Sciences, stated: "The future of 'X plus AI' relies on industry experts across various domains to identify needs and jointly foster an innovative ecosystem."

Source: Lingnan on the Cloud

如何将地球转变为一个巨大的“大脑”？专家大咖热议人工智能

11月17日下午，“2024大湾区科学论坛——人工智能分论坛暨第五届中国（广东）人工智能高峰论坛”在广州南沙举行。论坛以“AI&Future”为主题，汇聚国内外人工智能顶级专家与产业界代表，共同探讨AI前沿技术及应用。

中国工程院院士、鹏城实验室主任高文指出，AI的影响力早在1978年就已有体现，当时通用推理机测算法的研发获诺贝尔经济学奖。他特别提到2023年诺贝尔化学奖的获奖突破源自蛋白质结构预测领域的进展。他表示，通过国际蛋白质结构预测竞赛（CASP），AI技术的预测准确率从40%提升至90%以上，大幅加速了蛋白质结构解析工作。此外，他还提到鹏城实验室的超算设施建设：“鹏城云脑二号使用华为自主芯片，其存储性能连续八次获世界超算500强赛道第一。正在建设的第三代设备预计明年完成，将为中国AI发展提供强大算力支持。”

欧洲科学院院士Henry Homayoun Radamson指出，AI已深度渗透半导体全产业链，推动设计、制造及材料研发等环节的创新。他提到，AI设计的芯片又反过来用于控制半导体制造，实现了相互促进。他还展示了AI结合短波红外成像技术在自动驾驶和医疗中的应用。例如，在完全黑暗环境中识别物体，或通过AI与红外技术提升肿瘤手术导航的精确性。

美国国家工程院外籍院士Khaled Ben Letaief展望6G与AI的融合发展，预测到2030年全球移动网络流量将远超5G承载能力。他表示，6G将成为AI赋能的智能网络系统，实现特斯拉曾预言的“地球大脑”愿景。

论坛还举行了圆桌讨论，围绕AI与行业赋能等热点展开深入交流。中国科学院院士毛军发表示：“未来‘X+AI’的融合尤为重要，需要由各领域产业人士提出需求，共同推动创新生态发展。”

文 | 记者 陈晓楠 李钢 黎秋玲 何昱 实习生 李宇安 张小悦
图 | 记者 蔡嘉鸿
译 | 邹晓华
英文审校 | 赵凡