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沙特入局AI基础设施建设!科创板人工智能ETF(588930)今日显著回调,连续3个交易日获得资金净流入
Mei Ri Jing Ji Xin Wen· 2025-05-19 02:40
每日经济新闻 开源证券表示,AI板块的投资价值在当前的市场环境下显得尤为突出。随着中国科学院研究团队 发布的"Difface"人工智能模型,AI技术在精准识别、刑侦破案、法医鉴定、失踪人口追踪、历史人物复 原和个性化医疗等领域的应用前景得到了显著拓展。该模型通过深度学习技术,实现了从极少量DNA 片段中重建面部图像的能力,展现了AI在生物信息处理方面的强大潜力。从行业数据来看,AI云端和 终端产业链的相关企业已经吸引了大量资金关注,估值维持在高位。因此,AI板块正处于技术创新与 市场需求双重驱动的黄金时期,具备较高的投资价值。 相关产品:科创板人工智能ETF(588930)。 消息面上,近日,高通宣布将与沙特阿拉伯新成立的人工智能公司Humain合作,共同开发面向人 工智能数据中心的AI算力芯片。根据谅解备忘录,高通和Humain计划在沙特阿拉伯开发和建设尖端AI 数据中心,基于高通的边缘和数据中心解决方案,为本地和国际客户提供高效、可扩展的云到边缘混合 人工智能推理解决方案。全球人工智能产业趋势确定性较高,国产人工智能产业链具有中长期成长机 遇。 5月19日,A股市场低开震荡,人工智能小幅调整。科创板人工智 ...
国科大杭高院发布突破性成果 应用前景很广
Hang Zhou Ri Bao· 2025-05-16 03:14
Core Insights - The research team led by Professor Chen Luonan from the University of Chinese Academy of Sciences and Shanghai Jiao Tong University has developed the Difface AI model, which can generate 3D facial images directly from DNA sequences, marking a significant breakthrough in 3D facial reconstruction technology [2][3] - This technology, referred to as "genetic portraiture," is expected to have important applications in fields such as criminal investigation, historical anthropology, and personalized medicine [2] Group 1 - The Difface model combines pre-trained Transformer architecture with spiral convolution technology, effectively acting as a "spatial genetic decoder" and "3D visual modeling instrument" [2] - The model enhances the matching accuracy between DNA sequences and 3D faces by approximately 12%, maintaining high generation precision even with limited DNA data [3] - The technology allows for the simulation of facial changes over time, providing new avenues for locating missing persons by generating current appearances from childhood DNA [3] Group 2 - In the field of criminal investigation, this technology could potentially solve long-standing cases by reconstructing suspect faces from biological evidence found at crime scenes [3] - In anthropology, ancient human DNA may be used to recreate the appearances of ancestors [3] - In the cosmetic medical field, it could enable personalized predictions of facial features based on genetic information [3]