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Deprecated: strpos(): Non-string needles will be interpreted as strings in the future. Use an explicit chr() call to preserve the current behavior in /www/wwwroot/4-17ll.com/label.php on line 82
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  4月18日电国新办18日举行一季度有关经济数据例行新闻发布会,工业和信息化部总工程师谢少锋介绍2025年一季度工业和信息化发展情况,并答记者问。会上,谢少锋指出,将全力推进人工智能赋能新型工业化,一手抓供给,组织人工智能副赋能新型工业化“揭榜挂帅”攻关,加强通用大模型和行业大模型的研发布局,加快建设工业领域高质量的数据集,夯实基础底座,推动“智能产业化”。

  谢少锋指出,最近Deepseek等国产大模型火爆“出圈”,激发了全社会应用热情和创新的活力,这也反映了人工智能技术快速突破的现状。制造业是人工智能技术产品落地应用的重要领域。近年来,人工智能与制造业融合发展加速,成效突出,亮点纷呈,主要有以下的几个特点。

  第一,产业基础不断的夯实。我国已形成了覆盖基础层、框架层、模型层、应用层的完整的产业体系。算力规模居全球的前列,建成钢铁、煤炭等高质量的行业数据集,培育出一批竞争力强的通用大模型和行业大模型,国产大模型登顶全球主流开源社区下载量的榜单,创造了“中国速度”。

  第二,产品装备加速迭代。国产厂商研发的AI手机、AI电脑、AI眼镜等智能产品已超百款,实现了“智”变升级。人形机器人主流产品已经实现了“站得住、走得稳、跑得快”,正加快从“舞台上动起来”向“工厂里用起来”转变,既能演杂技、扭秧歌,也能搬重物、拧螺丝,在制造场景加快落地,例如辅助汽车生产线装备作业、助力智能分拣搬运等。

  第三,应用赋能扎实推进。大模型在电子、原材料、消费品等行业加快落地,在研发设计、中试验证、生产制造、运营管理等环节得到应用。我们在地方调研的时候,在典型案例征集遴选中发现,北京一家平板显示企业利用大模型一键生成排产计划,产线排产的时间降低了75%。沈阳一家电子设备制造企业借助大模型推动公益设计自动化,带动生产效率提升40%。我们正持续开展赋能“深度行”活动,打造线上线下平台,推动供需企业精准对接,引导行业智能化转型。

  第四,产业生态持续优化。我们通过部省协同推进11个国家人工智能创新应用先导区建设,央地共建了具身智能机器人、人形机器人等制造业创新中心,推动产业集聚发展。促进产融合作,联合财政部设立了600亿元规模的国家人工智能基金,加快布局投资项目。强化标准引领,印发《国家人工智能产业综合标准化体系建设指南》,累计共制定了40余项行业关键标准和10余项国际标准。着力培育市场主体,目前已累计培育了400余家人工智能领域国家级专精特新的“小巨人”企业。

  谢少锋表示,今年《政府工作报告》中提出,持续推进“人工智能+”行动,将数字技术与制造优势、市场优势更好结合起来,支持大规模广泛应用。下一步,我们将全力推进人工智能赋能新型工业化,一手抓供给,组织人工智能赋能新型工业化“揭榜挂帅”攻关,加强通用大模型和行业大模型的研发布局,加快建设工业领域高质量的数据集,夯实基础底座,推动“智能产业化”;一手抓应用,推动制造业的全流程、重点行业、重点产品的智能升级,加快下一步超级智能终端的产业化、商业化进程。持续开展赋能“深度行”和典型案例的征集,遴选“十大行业、百大场景、千家标杆”,要推动“产业智能化”。同时,要建生态,引导耐心资本加大支持力度,加快培育一批行业龙头企业和专精特新中小企业。建设人工智能开源社区,发挥人工智能标准化技术委员会的作用,加快关键急需标准的研制,加强人才引育,伦理治理和国际合作,持续营造良好的产业生态。 张雱 京东 - 揭示背后的品质与创新!的相关文章 泽连斯基首次公开指责中国有何企图的相关文章
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