对于人工智能行业来说，2020年注定是不平凡的一年。
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年初的疫情，是对人工智能发展的一次重要考验。工信部也发出倡议，呼吁人工智能相关单位充分发挥人工智能的力量，组织科研和生产力量，优先研究和应用有效支持防疫的相关产品和控制。从红外热成像非接触式快速测温到辅助诊断技术，再到AI大数据系统秒级检索患者社会关系构成等，AI的助力为抗击“疫情”提供了丰富有效的武器”，行业内涌现出一批优秀的人工智能案例。
Artificial intelligence helps fight "epidemic"
Many technology companies have actively contributed to the prevention and control of the epidemic, and provided more practical and efficient help for the fight against the epidemic.
SenseTime Technology, the support unit of the National New Generation Artificial Intelligence Open Innovation Platform of Intelligent Vision, has proposed an AI epidemic prevention solution for multi-faceted identification and management such as "person's body temperature + mask wearing + personnel identity". The solution consists of an area access module and an entrance and exit access module, which can display and archive real-time information in a unified manner. Among them, the regional traffic module can realize non-contact screening in various scenarios such as airports, stations, subways, schools, office buildings, and residential areas, and realize alarms and personnel identification of abnormal events of high temperature and not wearing masks.
Megvii has launched an AI temperature measurement system, which adopts the solution of "human body recognition + portrait recognition + infrared/visible light dual sensing", supports non-contact long-distance temperature measurement greater than 3 meters, and assists "three stations and one scene" ( Staff in high-density traffic scenarios such as train stations, bus stations, subway stations, and airports can quickly find people with fever. Specifically, by quickly locating the forehead through AI technology, the public can achieve rapid screening without taking off their masks. At the same time, Megvii has also developed the "Megvii-Mingji" intelligent screening and comparison system for suspected fever personnel. At present, the system has been piloted in Beijing Haidian Government Hall and Peony Garden Metro Station.
依图科技提供智能人脸扫描终端和智能在线医疗程序。智能刷脸终端采用人脸识别技术，实现完全非接触式刷卡开门方式，杜绝间接接触传播的可能人工刷助力平台，助力疫情防控。“新冠肺炎”应对疫情智能在线医疗程序，可满足大量健康教育和新冠肺炎早期筛查需求，提供更多优质、全面、权威的专业和非专业知识题及与疫情相关的解答人工刷助力平台，以缓解辖区群众对疫情的焦虑，减轻医疗机构的门诊压力和院内传播概率。
猎豹移动投资的猎户星捐赠的医疗服务机器人已运抵武汉火神山医院。可实现无人指导，自动响应发热问询，引导患者及初步诊疗，同时提供化验、药物等，帮助提高诊疗效率，避免因接触引起的交叉感染。医务人员和患者。
AI数据或成为AI技术落地的最大挑战
虽然计算机视觉、智能语音、知识图谱等人工智能技术已在医疗领域得到应用，但由于当前疫情环境的特殊性，仍存在诸多挑战。
工信部直属科研机构中国信息通信研究院云计算与大数据研究所副所长王云涛指出，“目前的AI模型输入对数据的要求很高并且需要进行大量的数据清洗、对齐等前期工作，通信系统以不同的规则和格式采集数据，虽然各个维度的数据统计覆盖比较完整，但仍然无法成为AI的有效输入系统在短时间内，大量关键数据的重复收集和处理造成资源浪费。”
Cloud Testing Data, the leading enterprise of data labeling service, believes that AI data is also the key to promoting the sustainable and healthy development of artificial intelligence. The accuracy of the algorithm is directly related to the quality of the data, and the quantity and quality of the data will become the bottleneck of AI implementation. The general manager of Cloud Test Data said in an interview: "Many fields are now in the stage of AI applications, especially medical and intelligent driving, which require very high accuracy of models, and require the accuracy and professionalism of AI data. It will become the key to its next landing.”
For this reason, the rapid development of artificial intelligence has put forward higher requirements for data. Cloud measurement data supports model iteration through AI data required by self-built scene laboratories and data labeling bases to produce algorithms to build an overall healthy data ecology; through self-developed data labeling systems and perfect data production processes, the Control the accuracy of the data quality of each AI data, and provide food and grass for AI behind many technology companies.
In the future, traditional medical industry informatization suppliers will cooperate more closely with AI technology providers represented by Internet companies, and AI enterprises will pose more challenges to AI data resource service providers.
Science and technology war "epidemic", AI for good
In 2017, the State Council issued the "New Generation Artificial Intelligence Development Plan", which pointed out that "by 2030, artificial intelligence theory, technology and application will generally reach the world's leading level and become the world's major artificial intelligence innovation center." Big AI companies have come up with their own advanced technologies. Artificial intelligence is no longer a distant imagination and has become a tool used in the front line of epidemic prevention and control.
这场疫情终将消散，而这场科技行业的“大训”，将让整个人工智能行业思考如何更好地将技术与垂直领域融合，成为行业自我创新的关键。这些宝贵经验将成为人工智能成熟健康发展的助力。
AI很好，科技在酝酿希望，我们期待万物复苏。
