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VALUES('a10203199750319104723344', '助力中科星联打造遥感图像通用解译平台', ' 依托合肥人工智能计算中心算力资源，安徽中科星联信息技术有限公司打造面向空天信息产业的遥感图像通用解译平台-AIBrain，提供“数据/增值产品-平台/系统-综合解决方案-运营服务”一站式空天信息应用服务', 117, 'https://aicc-stg-minio.cnbita.com/images/README_case_a10203199750319104723344.md', 'https://aicc-stg-minio.cnbita.com/images/case_a10203199750319104723344.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a11203129750319104720324', '支撑安徽超清科技股份有限公司推出全息路口解决方案', ' 合肥人工智能计算中心与安徽超清科技有限公司紧密合作，基于 MindSpore 框架和 YOLO 目标检测技术，推出全息路口解决方案，为未来交通开辟新的解题思路。', 116, 'https://aicc-stg-minio.cnbita.com/images/README_case_a11203129750319104720324.md', 'https://aicc-stg-minio.cnbita.com/images/case_a11203129750319104720324.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a20203199750319104723355', '赋能上海积鼎航空航天发动机仿真模拟', '上海积鼎信息科技有限公司成立于 2008 年，是多相流分析软件研发及技术服务领域的高新技术企业，自主开发的软件包括通用流体仿真软件 VirtualFlow、行业专用流体仿真软件 CFDPro，多相流测试设备及定制化平台开发、并针对航空航天发动机全流程仿真及试验解决方案。', 117, 'https://aicc-stg-minio.cnbita.com/images/README_case_a20203199750319104723355.md', 'https://aicc-stg-minio.cnbita.com/images/case_a20203199750319104723355.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a30203129750319104723322', '联合南瑞继远打造输电全景智慧管控平台', '合肥人工智能计算中心联合安徽南瑞继远电网技术有限公司，依托合肥人工智能计算中心算力资源，基于YOLOX 模型巡检图像检测技术，在电力传输领域，打造输电全景智慧管控平台。', 116, 'https://aicc-stg-minio.cnbita.com/images/README_case_a30203129750319104723322.md', 'https://aicc-stg-minio.cnbita.com/images/case_a30203129750319104723322.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a30203129750319104723333', '联合安徽金赛弗推出深度学习大交通领域“智”理方案', '安徽金赛弗信息技术有限公司是国家高新技术企业，公司致力于智能交通核心技术研发。针对城市交通和高速公路交通领域存在的未按规定使用灯光、行车未保持安全距离、大货车占道连续超车等交通不规范行为进行深入研究', 116, 'https://aicc-stg-minio.cnbita.com/images/README_case_a30203129750319104723333.md', 'https://aicc-stg-minio.cnbita.com/images/case_a30203129750319104723333.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a30203199750319104723324', '助力中科星图空天信息产业发展', '中科星图是中国科学院空天信息创新研究院投资的国有控股高新技术企业。 作为国内数字地球产品研发与产业化的先行者和领军企业，自主研发了覆盖空天大数据获取、处理、承载、可视化和应用等产业链环节的 GEOVIS 数字地球产品', 117, 'https://aicc-stg-minio.cnbita.com/images/README_case_a30203199750319104723324.md', 'https://aicc-stg-minio.cnbita.com/images/case_a30203199750319104723324.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a30203199750319104723366', '赋能劲旋风航空螺旋桨产品研发', '安徽劲旋风航空科技有限公司总部设在中国安徽芜湖，是一家集设计、研发、生产、销售及维护通用航空所需的各类螺旋桨和旋转翼的专业公司、公司拥有螺旋桨多个领域的独立研发产品，引导小型螺旋桨新潮流。', 117, 'https://aicc-stg-minio.cnbita.com/images/README_case_a30203199750319104723366.md', 'https://aicc-stg-minio.cnbita.com/images/case_a30203199750319104723366.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a31203129750319104723300', '赋能“量子计算创新创业平台”', '量子计算创新创业平台是国内首个以“量子计算”为主要特色的双创平台，具有完全自主知识产权，支持适配超导和半导量子芯片接入。', 115, 'https://aicc-stg-minio.cnbita.com/images/README_case_a31203129750319104723300.md', 'https://aicc-stg-minio.cnbita.com/images/case_a31203129750319104723300.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a31203129750319104723312', '携手本源量子打造首个量子计算全球开发者平台', '本源量子计是国内量子计算龙头企业，2017 年成立于合肥市高新区，公司聚焦量子计算产业生态建设，打造自主可控工程化量子计算机，围绕量子芯片、量子计算测控一体机、量子操作系统、量子软件、量子计算云平台和量子计算科普教育核心业务，全栈研制开发量子计算，积极推动量子计算产业落地。', 115, 'https://aicc-stg-minio.cnbita.com/images/README_case_a31203129750319104723312.md', 'https://aicc-stg-minio.cnbita.com/images/case_a31203129750319104723312.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a31203129750319104723324', '携手瀚海量子共同打造国产量子力学软件产业化平台', '合肥瀚海量子科技有限公司成立于 2021 年 5 月，创业团队为来自中科大的博士，是一家专业从事基于量子力学的第一性原理电子结构计算和分子动力学模拟等软件研发的服务商，主要产品为 PWDFT。', 115, 'https://aicc-stg-minio.cnbita.com/images/README_case_a31203129750319104723324.md', 'https://aicc-stg-minio.cnbita.com/images/case_a31203129750319104723324.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a32203129750319104723324', '赋能长鑫存储芯片仿真计算', '长鑫存储技术有限公司是一家合肥本地公司，在存储技术服务，集成电路设计、制造、加工、技术开发等方向处于国内领先地位。其设计好的集成电路图案需要通过光刻机转印到晶圆上才能完成制造。', 114, 'https://aicc-stg-minio.cnbita.com/images/README_case_a32203129750319104723324.md', 'https://aicc-stg-minio.cnbita.com/images/case_a32203129750319104723324.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a40203199750319104723100', '上线讯飞“星火开源-13B”大模型', '2024 年 1 月 30 日，在讯飞星火认知大模型 V3.5 升级发布会上，科大讯飞发布了讯飞星火开源-13B 大模型，目前该模型已在巢湖明月-合肥人工智能计算中心同步首发，正式开放体验。', 118, 'https://aicc-stg-minio.cnbita.com/images/README_case_a40203199750319104723100.md', 'https://aicc-stg-minio.cnbita.com/images/case_a40203199750319104723100.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a40203199750319104723111', '气象预测模型', '合肥市大数据公司联合安徽正弦空间推出气象预测模型，为新能源企业提供光伏、风电的气象预测数据，为电力期货交易、农产品期货交易提供中长期的气象预测数据参考。', 118, 'https://aicc-stg-minio.cnbita.com/images/README_case_a40203199750319104723111.md', 'https://aicc-stg-minio.cnbita.com/images/case_a40203199750319104723111.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a40203199750319104723112', '赋能“机器化学家”平台', 'AI+Science 机器化学家平台，经过八年攻关，中国科学技术大学化学与材料科学学院教授罗毅、江俊团队研究出对化学科学产生巨大影响的科研成果——“机器化学家”！', 118, 'https://aicc-stg-minio.cnbita.com/images/README_case_a40203199750319104723112.md', 'https://aicc-stg-minio.cnbita.com/images/case_a40203199750319104723112.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a40203199750319104723113', '助力科大国创云网打造国创九章知识计算生态平台', '科大国创云网科技有限公司在合肥人工智能计算中心的强大算力支持下，推出了新一代的国创九章知识计算生态平台 V2.0。该平台立 足于大  数据 ，以先 进的 AI  引擎 为核心   ，实 现了闭 环算法   与 昇思MindSpore 框架的深度融合，构建出一套高效的 AI 敏捷开发流水线', 118, 'https://aicc-stg-minio.cnbita.com/images/README_case_a40203199750319104723113.md', 'https://aicc-stg-minio.cnbita.com/images/case_a40203199750319104723113.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a40203199750319104723311', '助力讯飞智能语音模型训练', '在“巢湖明月”一期合肥先进计算中心DCU 上，科大讯飞股份有限公司验证使用较多结构的模型训练任务的可行性和训练效率，包括 Transformer（开源模型结构）、Bert（开源模型结构）、HybridCNN讯飞自有模型结构）、语音识别    Encoder-Decoder 模型', 118, 'https://aicc-stg-minio.cnbita.com/images/README_case_a40203199750319104723311.md', 'https://aicc-stg-minio.cnbita.com/images/case_a40203199750319104723311.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a40203199750319104723322', '助力讯飞数码遥感大模型训练提速', '随着航天技术的发展，对地观测数据量和数据源与日俱增，遥感大数据的高效处理和应用突破成为痛点和难点。目前，讯飞数码研究', 118, 'https://aicc-stg-minio.cnbita.com/images/README_case_a40203199750319104723322.md', 'https://aicc-stg-minio.cnbita.com/images/case_a40203199750319104723322.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a40203199750319104723333', '携手东湖灵境打造红色文旅大模型', '东湖灵境致力于大模型驱动的新一代智能交互技术，为企业和机构提供更加高效、更低廉的智能交互解决方案。', 118, 'https://aicc-stg-minio.cnbita.com/images/README_case_a40203199750319104723333.md', 'https://aicc-stg-minio.cnbita.com/images/case_a40203199750319104723333.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a40203199750319104723344', '赋能的卢深视三维视觉感知', '的卢深视成立于 2015 年 8 月，总部位于北京，目前在合肥设有子公司和研发中心，的卢深视在结构光深度感知、三维实时高精度重建、三维跟踪识别及感知等技术方向上，处于国际领先地位。', 118, 'https://aicc-stg-minio.cnbita.com/images/README_case_a40203199750319104723344.md', 'https://aicc-stg-minio.cnbita.com/images/case_a40203199750319104723344.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a40203199750319104723355', '赋能神经网络训练', '合肥钛灵信息科技有限公司成立于 2020 年 5 月 9 日，是全球领先的智慧相册、智慧娱乐解决方案供应商。钛灵科技聚焦于消费类电子、智能家居、智慧教育、智能安防等行业，致力于用人工智能技术赋能智慧化生活。', 118, 'https://aicc-stg-minio.cnbita.com/images/README_case_a40203199750319104723355.md', 'https://aicc-stg-minio.cnbita.com/images/case_a40203199750319104723355.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a40203199750319104723366', '支撑星火认知大模型2.0 研发', '“讯飞星火认知大模型”是科大讯飞自主研发的通用认知大模型，具有 7 大核心能力，即文本生成、语言理解、知识问答、逻辑推理、数学能力、代码能力、多模态能力。', 118, 'https://aicc-stg-minio.cnbita.com/images/README_case_a40203199750319104723366.md', 'https://aicc-stg-minio.cnbita.com/images/case_a40203199750319104723366.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a40203199750319104723377', '适配Baichuan2、Llama2、ChatGLM2 等主流大模型', '合肥人工智能计算中心基于昇腾 AI 基础软硬件建设，首期建设 100PFlops@FP16 的人工智能计算能力，为企业和科研高校提供澎湃的算力服务。', 118, 'https://aicc-stg-minio.cnbita.com/images/README_case_a40203199750319104723377.md', 'https://aicc-stg-minio.cnbita.com/images/case_a40203199750319104723366.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a40203199750319104723388', '文修智能助写平台', '中国科学技术大学认知智能全国重点实验室总结科研写作过程中助写产品存在的润色智能辅助效果差、用户使用产品成本高、数据隐私可控力度弱等多种痛点，结合自然语言处理（NLP）技术，自研文修大模型，使用合肥人工智能计算中心算力进行大模型训练、部署和推理', 118, 'https://aicc-stg-minio.cnbita.com/images/README_case_a40203199750319104723388.md', 'https://aicc-stg-minio.cnbita.com/images/case_a40203199750319104723388.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a40203199750319104723399', '智慧医疗大模型IIMMed-GPT', '中国科学院合肥物质科学研究院智能机械研究所针对目前医疗大模型中存在的回答偏差、虚假信息和错误建议等问题，基于开源和自建的医学知识数据集，依托合肥人工智能计算中心提供的充沛算力资源，成功孵化出医学大模型：智慧康复决策大模型 IIMMed-GPT。', 118, 'https://aicc-stg-minio.cnbita.com/images/README_case_a40203199750319104723399.md', 'https://aicc-stg-minio.cnbita.com/images/case_a40203199750319104723399.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
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VALUES('a50203199750319104723100', '助力江汽集团新能源汽车研发', '江淮汽车始建于 1964 年，作为我国新能源汽车产业的先行者在智能汽车领域，持续为用户提供更安全、更自由、更愉悦的移动出行解决方案。“巢湖明月”丰富多元的算力融合架构，在大数据分析、自动驾驶、工业仿真等方面为新能源汽车制造提供算力支撑。', 119, 'https://aicc-stg-minio.cnbita.com/images/README_case_a50203199750319104723100.md', 'https://aicc-stg-minio.cnbita.com/images/case_a50203199750319104723100.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
INSERT INTO heros.app_market_case
(id, title, description, case_type_id, instruction_url, cover_url, del_flag, create_time, create_user, update_time, update_user)
VALUES('a50203199750319104723101', '赋能宏景智能驾驶算法训练', '宏景智驾成立于 2018 年，是一家全栈式自动驾驶解决方案服务商，具备完全自主研发的车规级自动驾驶计算平台、全栈的软件算法和完整的系统集成能力，可针对不同客户需求提供定制化的高性能智能驾驶解决方案', 119, 'https://aicc-stg-minio.cnbita.com/images/README_case_a50203199750319104723101.md', 'https://aicc-stg-minio.cnbita.com/images/case_a50203199750319104723101.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
INSERT INTO heros.app_market_case
(id, title, description, case_type_id, instruction_url, cover_url, del_flag, create_time, create_user, update_time, update_user)
VALUES('a50203199750319104723102', '赋能中汽研新能源汽车发动机研发', '中国汽车工程研究院股份有限公司是中国汽车行业产品开发、试验研究、质量检测的重要基地及技术支撑机构。', 119, 'https://aicc-stg-minio.cnbita.com/images/README_case_a50203199750319104723102.md', 'https://aicc-stg-minio.cnbita.com/images/case_a50203199750319104723102.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
INSERT INTO heros.app_market_case
(id, title, description, case_type_id, instruction_url, cover_url, del_flag, create_time, create_user, update_time, update_user)
VALUES('a50203199750319104723103', '携手安理工打造汽车制造教学实训基地', '安徽理工大学是安徽省重点建设的特色高水平大学，是安徽省和中华人民共和国应急管理部共建高校，是国家中西部高校基础能力建设工程支持建设的高校，是教育部“卓越工程师教育培养计划”实施高校。', 119, 'https://aicc-stg-minio.cnbita.com/images/README_case_a50203199750319104723103.md', 'https://aicc-stg-minio.cnbita.com/images/case_a50203199750319104723103.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
INSERT INTO heros.app_market_case
(id, title, description, case_type_id, instruction_url, cover_url, del_flag, create_time, create_user, update_time, update_user)
VALUES('a50203199750319104723104', '助力蔚来新能源汽车研发', '蔚来汽车成立于 2014 年，是一家从事高性能智能电动汽车研发的公司，中国总部位于合肥。', 119, 'https://aicc-stg-minio.cnbita.com/images/README_case_a50203199750319104723104.md', 'https://aicc-stg-minio.cnbita.com/images/case_a50203199750319104723104.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
INSERT INTO heros.app_market_case
(id, title, description, case_type_id, instruction_url, cover_url, del_flag, create_time, create_user, update_time, update_user)
VALUES('a50203199750319104723105', '助力上海汇众汽车底盘仿真模拟计算', '上海汇众汽车制造有限公司是目前中国乘用车底盘系统规模最大、市场占有率最高，集研发、制造、验证为一体的高新技术企业，国家技术中心，上海市专利企业。', 119, 'https://aicc-stg-minio.cnbita.com/images/README_case_a50203199750319104723105.md', 'https://aicc-stg-minio.cnbita.com/images/case_a50203199750319104723105.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
INSERT INTO heros.app_market_case
(id, title, description, case_type_id, instruction_url, cover_url, del_flag, create_time, create_user, update_time, update_user)
VALUES('a60203199750319104723101', '助力中科离子药物研究', '合肥中科离子医学中心是中国科学院和安徽省人民政府共同打造的合肥综合性国家科学中心创新平台。', 120, 'https://aicc-stg-minio.cnbita.com/images/README_case_a60203199750319104723101.md', 'https://aicc-stg-minio.cnbita.com/images/case_a60203199750319104723101.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
INSERT INTO heros.app_market_case
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VALUES('a60203199750319104723102', '赋能华大基因研发', '华大基因是全球最大的基因组学研发机构，将前沿的多组学科研成果应用于医学健康、农业育种、资源保存等领域，推动基因科技成果转化，实现基因科技造福人类。', 120, 'https://aicc-stg-minio.cnbita.com/images/README_case_a60203199750319104723102.md', 'https://aicc-stg-minio.cnbita.com/images/case_a60203199750319104723102.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
INSERT INTO heros.app_market_case
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VALUES('a70203199750319104723201', '助力托卡马克中磁场建模取得新进展', '中国科学院等离子体物理研究所李建刚研究员团队，充分利用合肥人工智能计算中心的强大的计算资源，在托卡马克磁场建模中取得了新进展。', 121, 'https://aicc-stg-minio.cnbita.com/images/README_case_a70203199750319104723201.md', 'https://aicc-stg-minio.cnbita.com/images/case_a70203199750319104723201.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
INSERT INTO heros.app_market_case
(id, title, description, case_type_id, instruction_url, cover_url, del_flag, create_time, create_user, update_time, update_user)
VALUES('a70203199750319104723202', '助力第一性原理人工智能方法研究取得新成果', ' 清华大学物理系徐勇、段文晖研究组提出一种第一性原理人工智能的计算框架，利用神经网络进行密度泛函微扰理论（DFPT）计算，这一突破性的方法极大地提高了材料的微扰响应性质研究的计算效率。', 121, 'https://aicc-stg-minio.cnbita.com/images/README_case_a70203199750319104723202.md', 'https://aicc-stg-minio.cnbita.com/images/case_a70203199750319104723202.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
INSERT INTO heros.app_market_case
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VALUES('a70203199750319104723203', '助力序列推荐领域研究取得新进展', '  中国科学技术大学大数据分析与应用安徽省重点实验室的刘淇教授团队，联合天津大学等研究团队，充分利用合肥人工智能计算中心的强大算力资源，在序列推荐领域取得了新进展。', 121, 'https://aicc-stg-minio.cnbita.com/images/README_case_a70203199750319104723203.md', 'https://aicc-stg-minio.cnbita.com/images/case_a70203199750319104723203.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
INSERT INTO heros.app_market_case
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VALUES('a70203199750319104723204', '突破面向智能驾驶多模态融合视觉计算关键技术', '    面向智慧交通和公共安全等领域的重大需求，合肥人工智能计算中心联合中国科学技术大学信息科学技术学院，积极探索并研究智能驾驶的多模态融合视觉计算关键技术，实现了 Arcface、YoloV7、SABL、FCENet 等模型的原生开发与适配。', 121, 'https://aicc-stg-minio.cnbita.com/images/README_case_a70203199750319104723204.md', 'https://aicc-stg-minio.cnbita.com/images/case_a70203199750319104723204.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
INSERT INTO heros.app_market_case
(id, title, description, case_type_id, instruction_url, cover_url, del_flag, create_time, create_user, update_time, update_user)
VALUES('a70203199750319104723205', '助力遥感跨模态图文检索领域研究取得新进展', '西北工业大学梅少辉教授、张顺副教授、硕士生李玉鹏，依托合肥人工智能计算中心算力，在遥感跨模态图文检索领域，提出了一种基于掩膜自注意力机制和无监督学习实现单模态特征建模的遥感跨模态图文检索方法', 121, 'https://aicc-stg-minio.cnbita.com/images/README_case_a70203199750319104723205.md', 'https://aicc-stg-minio.cnbita.com/images/case_a70203199750319104723205.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
INSERT INTO heros.app_market_case
(id, title, description, case_type_id, instruction_url, cover_url, del_flag, create_time, create_user, update_time, update_user)
VALUES('a70203199750319104723206', '助力教育领域习题推荐方向研究取得新进展', '  合肥工业大学胡学钢教授团队，依托合肥人工智能计算中心的强大算力，在教育数据挖掘中的习题推荐领域，提出了一种基于博弈视角的元多智能体习题推荐方法，能够在新的学生群体（任务）上快速适应并达到良好的推荐效果', 121, 'https://aicc-stg-minio.cnbita.com/images/README_case_a70203199750319104723206.md', 'https://aicc-stg-minio.cnbita.com/images/case_a70203199750319104723206.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
INSERT INTO heros.app_market_case
(id, title, description, case_type_id, instruction_url, cover_url, del_flag, create_time, create_user, update_time, update_user)
VALUES('a70203199750319104723207', 'AI+基层医疗机构处方质量评估方案', ' 安徽医科大学卫生管理学院针对非结构化电子病例中大量病例记录和医疗专业知识难以被有效利用等问题，联合合肥人工智能计算中心，利用自然语言处理技术挖掘电子病历中的医学知识，分析其中的病情、体征以及与诊断之间的关联', 121, 'https://aicc-stg-minio.cnbita.com/images/README_case_a70203199750319104723207.md', 'https://aicc-stg-minio.cnbita.com/images/case_a70203199750319104723207.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
INSERT INTO heros.app_market_case
(id, title, description, case_type_id, instruction_url, cover_url, del_flag, create_time, create_user, update_time, update_user)
VALUES('a70203199750319104723208', '赋能核聚变能源产业发展', '  能量奇点是一家聚变设备运行控制软件研发商，聚焦于研制有商业发电潜力的高磁场、高参数、标准化的高温超导托卡马克装置及其运行控制软件系统，致力于探索可商业化的聚变能源技术', 121, 'https://aicc-stg-minio.cnbita.com/images/README_case_a70203199750319104723208.md', 'https://aicc-stg-minio.cnbita.com/images/case_a70203199750319104723208.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');
INSERT INTO heros.app_market_case
(id, title, description, case_type_id, instruction_url, cover_url, del_flag, create_time, create_user, update_time, update_user)
VALUES('a70203199750319104723209', '助力通用机械研究院传热技术研究提供流体力学仿真计算', '合肥通用机械研究院有限公司(简称“合肥通用院”)是中央驻皖转制科研院所，主要从事石油、化工、燃气、治金、电力、环保、国防军工等行业通用机械装备的设计开发、产品研制等', 121, 'https://aicc-stg-minio.cnbita.com/images/README_case_a70203199750319104723209.md', 'https://aicc-stg-minio.cnbita.com/images/case_a70203199750319104723209.png', 0, '2024-05-22 20:27:27', 'df', '2024-05-22 20:27:27', 'dg');












INSERT INTO heros.app_market_model
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VALUES('a11189818352070656124273', 'Vision Transformer ', 91, 'The Vision Transformer (ViT) is a transformer encoder model (BERT-like) pretrained on a large collection of images in a supervised fashion, namely ImageNet-21k, at a resolution of 224x224 pixels. Next, the model was fine-tuned on ImageNet (also referred to as ILSVRC2012), a dataset comprising 1 million images and 1,000 classes, also at resolution 224x224.', 'public-resource-1', 1, 0, 0, '', NULL, 'https://aicc-stg-minio.cnbita.com/images/README_a11189818352070656124273.md', 1, 3, 3, 'https://aicc-stg-minio.cnbita.com/images/model_icon004.png', 252, 75, 0, 'systemuser', '2024-04-16 10:18:59', '9fedf53c3d784e74b9cf428c6825b78e', '2024-04-16 11:11:16', '9fedf53c3d784e74b9cf428c6825b78e');
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VALUES('a11190245018955776987553', 'Model Card', 91, 'The **Fine-Tuned Vision Transformer (ViT)** is a variant of the transformer encoder architecture, similar to BERT, that has been adapted for image classification tasks. This specific model, named "google/vit-base-patch16-224-in21k," is pre-trained on a substantial collection of images in a supervised manner, leveraging the ImageNet-21k dataset. The images in the pre-training dataset are resized to a resolution of 224x224 pixels, making it suitable for a wide range of image recognition tasks.', 'public-resource-1', 1, 0, 1, '', NULL, 'https://aicc-stg-minio.cnbita.com/images/README_a11190245018955776987553.md', 1, 3, 3, 'https://aicc-stg-minio.cnbita.com/images/model_icon004.png', 13, 92, 0, 'systemuser', '2024-04-16 11:13:14', '9fedf53c3d784e74b9cf428c6825b78e', '2024-04-19 15:10:06', '9fedf53c3d784e74b9cf428c6825b78e');
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VALUES('a11190341829390336286410', 'ResNet-50 v1.5', 91, 'ResNet (Residual Network) is a convolutional neural network that democratized the concepts of residual learning and skip connections. This enables to train much deeper models.', 'public-resource-1', 1, 0, 0, '', NULL, 'https://aicc-stg-minio.cnbita.com/images/README_a11190341829390336286410.md', 1, 3, 3, 'https://aicc-stg-minio.cnbita.com/images/model_icon004.png', 250, 96, 0, 'systemuser', '2024-04-16 11:25:33', '9fedf53c3d784e74b9cf428c6825b78e', '2024-04-19 15:10:25', '9fedf53c3d784e74b9cf428c6825b78e');
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VALUES('a11202979782586368615564', 'MediaPipe-Pose', 91, 'The MediaPipe Pose Landmark Detector is a machine learning pipeline that predicts bounding boxes and pose skeletons of poses in an image.', 'public-resource-1', 1, 0, 1, '', 'a7cbba519e2745a780e3ea338fe21b54', 'https://aicc-stg-minio.cnbita.com/images/README_a11202979782586368615564.md', 1, 3, 3, 'https://aicc-stg-minio.cnbita.com/images/model_icon004.png', 131, 76, 0, 'systemuser', '2024-04-17 14:12:33', '9fedf53c3d784e74b9cf428c6825b78e', '2024-04-19 14:55:47', '9fedf53c3d784e74b9cf428c6825b78e');
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VALUES('a11202982447935488874046', 'Data-efficient Image', 91, 'This model is actually a more efficiently trained Vision Transformer (ViT).', 'public-resource-1', 0, 0, 0, '', NULL, 'https://aicc-stg-minio.cnbita.com/images/README_a11202982447935488874046.md', 1, 3, 1, 'https://aicc-stg-minio.cnbita.com/images/model_icon004.png', 45, 17, 0, 'systemuser', '2024-04-17 14:12:53', '9fedf53c3d784e74b9cf428c6825b78e', '2024-04-17 14:12:53', '9fedf53c3d784e74b9cf428c6825b78e');
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VALUES('a11203048655810560578095', 'Aesthetic Shadow V2', 93, 'Aesthetic Shadow V2 is a 1.1b parameters visual transformer designed to evaluate the quality of anime images.', 'public-resource-1', 0, 0, 0, '', NULL, 'https://aicc-stg-minio.cnbita.com/images/README_a11203048655810560578095.md', 1, 3, 0, 'https://aicc-stg-minio.cnbita.com/images/model_icon004.png', 12, 35, 0, 'systemuser', '2024-04-17 14:21:18', '9fedf53c3d784e74b9cf428c6825b78e', '2024-04-17 14:21:25', '9fedf53c3d784e74b9cf428c6825b78e');
INSERT INTO heros.app_market_model
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VALUES('a11203050954551296150870', 'Model Card for MITLL', 91, 'LADI-v2-classifier-small is based on [google/bit-50](https://huggingface.co/google/bit-50) and fine-tuned on the [MITLL/LADI-v2-dataset](https://huggingface.co/datasets/MITLL/LADI-v2-dataset). LADI-v2-classifier is trained to identify labels of interest to disaster response managers from aerial images.', 'public-resource-1', 0, 0, 0, '', NULL, 'https://aicc-stg-minio.cnbita.com/images/README_a11203050954551296150870.md', 1, 3, 0, 'https://aicc-stg-minio.cnbita.com/images/model_icon004.png', 24, 45, 0, 'systemuser', '2024-04-17 14:21:36', '9fedf53c3d784e74b9cf428c6825b78e', '2024-04-17 14:25:04', '9fedf53c3d784e74b9cf428c6825b78e');
INSERT INTO heros.app_market_model
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VALUES('a11203053231009792360015', '图像旋转判断模型', 91, '图像旋转判断模型可以对含有人脸的图片整体在平面内的角度进行判断，若图片中人脸是正向的，则模型输出旋转0度，若不是则根据图片中的实际朝向输出90度，180度和270度中的相应值，并以此旋转图像。', 'public-resource-1', 0, 0, 0, '', NULL, 'https://aicc-stg-minio.cnbita.com/images/README_a11203053231009792360015.md', 1, 3, 0, 'https://aicc-stg-minio.cnbita.com/images/model_icon004.png', 53, 4578, 0, 'systemuser', '2024-04-17 14:21:53', '9fedf53c3d784e74b9cf428c6825b78e', '2024-04-17 14:25:08', '9fedf53c3d784e74b9cf428c6825b78e');
INSERT INTO heros.app_market_model
(id, name, scene_id, description, resource_pool_id, deploy_flag, deploy_count, experience_flag, sample_data_url, task_type, instruction_url, model_state, publish_state, sync_state, icon, view_count, collect_count, del_flag, account, create_time, create_user, update_time, update_user)
VALUES('a11203065742749696112572', 'LaMa图像填充', 93, 'LaMa 采用FFT卷积+普通卷积的方式从而有效地进行图像填充，仅在256x256分辨率图像上训练，就能实现高分辨清晰图像(~2k)的填充，同时采用现在refinement策略，进一步提升高分辨率图像的填充效果', 'public-resource-1', 0, 0, 0, '', NULL, 'https://aicc-stg-minio.cnbita.com/images/README_a11203065742749696112572.md', 1, 3, 2, 'https://aicc-stg-minio.cnbita.com/images/model_icon004.png', 24, 82, 0, 'systemuser', '2024-04-17 14:23:29', '9fedf53c3d784e74b9cf428c6825b78e', '2024-04-25 16:15:48', '9fedf53c3d784e74b9cf428c6825b78e');
INSERT INTO heros.app_market_model
(id, name, scene_id, description, resource_pool_id, deploy_flag, deploy_count, experience_flag, sample_data_url, task_type, instruction_url, model_state, publish_state, sync_state, icon, view_count, collect_count, del_flag, account, create_time, create_user, update_time, update_user)
VALUES('a11203080484941824650303', 'CurricularFace + Retinaface 模型', 92, 'RetinaFace为当前学术界和工业界精度较高的人脸检测和人脸关键点定位二合一的方法', 'public-resource-1', 0, 0, 1, '', NULL, 'https://aicc-stg-minio.cnbita.com/images/README_a11203080484941824650303.md', 1, 3, 0, 'https://aicc-stg-minio.cnbita.com/images/model_icon004.png', 538, 28, 0, 'systemuser', '2024-04-17 14:25:21', '9fedf53c3d784e74b9cf428c6825b78e', '2024-04-17 14:28:02', '9fedf53c3d784e74b9cf428c6825b78e');
INSERT INTO heros.app_market_model
(id, name, scene_id, description, resource_pool_id, deploy_flag, deploy_count, experience_flag, sample_data_url, task_type, instruction_url, model_state, publish_state, sync_state, icon, view_count, collect_count, del_flag, account, create_time, create_user, update_time, update_user)
VALUES('a11203089067929600990784', '人像修复介绍', 94, '输入一张包含人像的图像，算法会对图像中的每一个检测到的人像做修复和增强，对图像中的非人像区域采用RealESRNet做两倍的超分辨率，最终返回修复后的完整图像。', 'public-resource-1', 0, 0, 0, '', NULL, 'https://aicc-stg-minio.cnbita.com/images/README_a11203089067929600990784.md', 1, 3, 0, 'https://aicc-stg-minio.cnbita.com/images/model_icon004.png', 0, 96, 0, 'systemuser', '2024-04-17 14:26:27', '9fedf53c3d784e74b9cf428c6825b78e', '2024-04-17 14:28:05', '9fedf53c3d784e74b9cf428c6825b78e');













