人工智能发展报告（2022～2023）
中文摘要
人工智能作为第四次工业革命的核心引擎，是引领新一轮科技革命和产业变革的战略性技术，具有溢出带动性很强的“头雁”效应，是推动科技跨越发展、产业优化升级、生产力整体跃升的重要战略资源，是实现产业转型升级的重要驱动力，为新旧动能转换和经济高质量发展提供了有力支撑。ChatGPT的快速崛起，标志着人工智能技术应用将进入快车道，提供人工智能商业化落地新范式，引发行业重要升级，提振了产业信心。
为全面把握2022～2023年全球人工智能产业、技术和应用的发展态势，总结研判人工智能产业发展面临的一系列问题和挑战，国家工业信息安全发展研究中心编写了《人工智能发展报告（2022～2023）》。本书分为总报告、技术篇、融合篇、专题篇等4个部分，从多角度对2022～2023年全球人工智能产业发展情况展开研究分析，并就人工智能投融资、人工智能算力基础设施安全、人工智能基础数据服务、人工智能基础资源建设和开放共享等方面进行了专题论述，对人工智能领域热点事件、全球产业链各环节布局进行了总结梳理。
人工智能技术持续创新发展。2022～2023年，以人工智能生成内容为代表的大模型技术，在模型的通用性和实用性上取得了显著进展，商业化路径越发丰富。预训练大模型等新技术的不断涌现，对开源框架在训练阶段和推理阶段的性能表现提出了更高的要求，头部企业通过构建深度学习开源框架生态，试图形成应用接口和硬件适配的双向主导权。
人工智能与实体经济融合创新加速。2022～2023年，人工智能不断拓展在工业质检、医疗行业数字化转型、市场营销、智能交通等领域的创新应用。在工业质检领域，人工智能在电子制造、汽车、钢铁冶金、新能源等行业形成了较多人工智能工业质检成功应用场景，需求呈现快速爆发态势。在医疗行业数字化转型方面，人工智能正在从优化诊疗流程、创新医学手段、变革康复技术、提升装备智能化等多个方面赋能医疗行业提质增效。在市场营销领域，人工智能在提升营销效率与精度、降本增效、个性化营销、内容创作等方面发挥了重要作用。在智能交通领域，利用人工智能技术对日常交通、运输管理、公众出行等领域进行管控支撑，提升交通运输系统运行效率和管理水平。
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总报告
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技术篇
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融合篇
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专题篇
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