简介:AbstractThe wide use and abuse of antibiotics could make antimicrobial resistance (AMR) an increasingly serious issue that threatens global health and imposes an enormous burden on society and the economy. To avoid the crisis of AMR, we have to fundamentally change our approach. Artificial intelligence (AI) represents a new paradigm to combat AMR. Thus, various AI approaches to this problem have sprung up, some of which may be considered successful cases of domain-specific AI applications in AMR. However, to the best of our knowledge, there is no systematic review illustrating the use of these AI-based applications for AMR. Therefore, this review briefly introduces how to employ AI technology against AMR by using the predictive AMR model, the rational use of antibiotics, antimicrobial peptides (AMPs) and antibiotic combinations, as well as future research directions.
简介:AbstractCurrently, the diagnosis of tuberculosis (TB) is mainly based on the comprehensive consideration of the patient's symptoms and signs, laboratory examinations and chest radiography (CXR). CXR plays a pivotal role to support the early diagnosis of TB, especially when used for TB screening and differential diagnosis. However, high cost of CXR hardware and shortage of certified radiologists poses a major challenge for CXR application in TB screening in resource limited settings. The latest development of artificial intelligence (AI) combined with the accumulation of a large number of medical images provides new opportunities for the establishment of computer-aided detection (CAD) systems in the medical applications, especially in the era of deep learning (DL) technology. Several CAD solutions are now commercially available and there is growing evidence demonstrate their value in imaging diagnosis. Recently, WHO published a rapid communication which stated that CAD may be used as an alternative to human reader interpretation of plain digital CXRs for screening and triage of TB.
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简介:摘要:随着人工智能(AI)技术的不断发展,播音主持行业也面临着新的机遇和挑战。如何将AI技术与播音、主持、播报等完美地融合在一起,给受众带来更多特别的视听新体验,是播音主持行业发展需要解决的重要问题。目前,AI与播音主持行业融合已催生出一系列的AI合成主播。AI合成主播,主要是利用语音合成和深度学习等技术,在算法的驱动下通过媒体渠道以仿真人的视听觉形象为受众群体传播新闻内容。目前,AI合成主播主要应用在新闻类、综艺类、服务类和社交类节目中。如2020年新华社AI合成女主播“新小微”,它能够穿梭于演播室不同场景中,切换自如,不会疲累。又如服务类节目中的《加油吧!考生》中的AI合成主播“小安”,它可以利用自身的数据处理分析优势为考生提供精准的分析,为节目增加了科技感。
简介:摘要:当前,我国正处在工业化持续推进过程中,生产经营规模不断扩大,传统和新型生产经营方式并存,各类事故隐患和安全风险交织叠加;烟草企业也正处在向建设智能化、数字化工厂转型的特殊时期,对企业安全生产管理提出了更高的要求。单单依靠固定式的视频监控摄像机,进行监控,存在一定的局限性和监控盲区;而依靠巡逻人员的自主巡查、巡防,受巡查人员的思想及主观因素影响大,存在较多的变数。以上因素,已经制约了企业安全生产的管理的有效提升。
简介:摘要:随着移动互联网的迅猛发展,用户使用移动通信网络的流量也逐渐提升,随之而来的,移动通信网络的负荷也不断增加;因此,为保障用户感知,运营商需要不断对高负荷的基站进行扩容。然而传统的扩容流程依靠人工筛选数据、寻求时序规律、确定扩容方案,效率不高。本文通过研究一套基于AI的LTE容量分析系统,能自动分析高负荷站点、确定扩容方案、并指出拆闲补忙的来源,更进一步的,通过机器学习,可以对高负荷站点通过内在联系匹配不同的优化参数,实现自动分析,极大的提升了分析优化的效率。
简介:摘要:随着现代化媒体传播技术的进步,简单的信息传递早已满足不了媒体的需要。在电视媒体行业,更快的速度和更好的画面质量是永恒的追求。而经济的高速发展催生了“智慧城市”,“智慧广电”也成了媒体发展目标。在本文中,笔者对当前新媒体环境中的5G+4K+AI技术在“智慧广电”中的应用发展进行了研究分析。