什么是人工智能 (AI)
人工智能是机器,尤其是计算机系统对人类智能过程的模拟。人工智能的具体应用包括专家系统、自然语言处理、语音识别和机器视觉。
人工智能是如何工作的?通常,人工智能系统的工作原理是搜集大量的训练数据,分析数据的相关性和模式,并使用这些模式对未来状态进行预测。通过这种方式,输入文本示例的聊天机器人可以学习与人进行近乎真实的交流,或者图像识别工具可以通过查看数百万个数据来学习识别和描述图像中的对象。快速改进的新的生成式 AI 技术可以创建逼真的文本、图像、音乐和其他媒体。
人工智能的优势以下是 AI 的一些优点:· 擅长注重细节的工作:事实证明,人工智能在诊断某些癌症(包括乳腺癌和黑色素瘤)方面与医生一样好或更好。
· 减少执行数据繁重任务的时间:人工智能广泛应用于数据密集型行业,包括银行和证券、制药和保险,以减少分析大数据集所需的时间。例如,金融服务经常使用人工智能来处理贷款申请和检测欺诈行为。
· 节省劳动力并提高生产率:这里的一个例子是仓库自动化的使用,它在大流行期间有所增长,预计随着人工智能和机器学习的整合而增加。
· 提供一致的结果:最好的 AI 翻译工具可提供高度的一致性,即使是小型企业也能够以客户的母语联系客户。
· 可以通过个性化提高客户满意度: 人工智能可以向个人客户提供个性化的内容、消息传递、广告、推荐和网站。
· AI 驱动的虚拟代理始终可用: AI程序不需要睡觉或休息,提供24小时服务。
人工智能的缺点以下是 AI 的一些缺点
机器无法感受到同情和共情
毫无疑问,机器在工作效率方面要好得多,但它们不能取代构成团队的人际关系。机器无法与人类建立联系。
失业和工作保障问题的增加
随着越来越多的机器被设计出来,失业和工作保障将突然增加,由于机器正在取代人力资源,人们失业的比率将会增加。
毋庸置疑,人类未来将不再是公司的第一选择。
重要数据丢失的风险
生活在21世纪,我们在生活中见过甚至不止一次,由于机器损坏或系统软件损坏等技术问题,我们的重要信息丢失。
我们使用计算机,智能手机和其他设备来存储几乎所有重要的文档、文件、图片和视频。一旦丢失,就不可能(或非常困难)检索到此信息,这可能会给您的工作带来严重的麻烦。
人工智能的利用
滥用或利用任何东西都是不好的。就人工智能而言,情况更糟。我们经常听到滥用技术可能给世界带来毁灭性终结的威胁,如果人工智能落入坏人之手,高科技机器绝对可以摧毁社会。
为什么人工智能又很重要?人工智能对于改变我们生活、工作和娱乐方式的有着非常大的潜力。它已被有效地应用于商业中,以自动化人类完成的任务,包括客户服务工作、潜在客户生成、欺诈检测和质量控制。在许多领域,人工智能可以比人类更好地执行任务。特别是在涉及重复的、注重细节的任务时,例如分析大量法律文件以确保正确填写相关字段,人工智能工具通常可以快速完成工作,并且错误相对较少。由于它可以处理大量数据集,人工智能还可以让企业深入了解他们可能不知道的运营情况。快速增长的生成式人工智能工具在从教育和营销到产品设计等领域都非常重要。
总结一下我对人工智能增长的看法,尽管人工智能各有利弊,但各行各业正在采用人工智能来更高效、更低成本地完成工作。因此,随着大数据的方式成为未来的趋势,人工智能也是如此。我们看到了人工智能的优缺点。今天,机器拥有几乎与人类相似的能力,而人工就是这一事实的完美例子。根据衍生知识,人工智能的结果正在迅速改善。
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General Introduction
I am a third year master major in automation at Shanghai Jiao Tong University P. R故矛. China. With tremendous int厂乙氢剂故操erest in Indus为便见材良指卷trial Engineering I am writing to apply for acceptance into your Ph.D. graduate progra等m.
Education background
In 1995 能请背I entered the Nanjing University of Science &Technology (NUST) -- widely considered one of the China’s best engineering schools. During the following undergraduate study my academic records kept distinguished among the whole department. I was granted First Class Prize every semester and my overall GPA(89.5/100) ranked No.1 among 113 students. In 1999 I got the privilege to enter the graduate 万跳program waived of the admiss事迫生能须机需赶ion test. I selec晚范香快谓谈尽答ted the Shanghai Jiao Tong University to continue my study for its best reputation on Combinatorial Opti神太mization and Network Scheduling where my research interest lies.
At the period of my graduate study my overall GPA(3.77/4.0) ranked top 5% in the de师错沙陆占partment. In the secon油说本印六再效布态么d semeste罪r I became teacher assistant that is given to talented a染nd matured students only. This year I won the Acer Scholarship as the 息通义次推村质识吃吸吃one and only candidate in my department whi燃记ch is the ul展印开timate accolade for distin口加副奏愿材微故立草初guished students endowed by my un司沉还iversity. Presently I am preparing my graduation thesis and trying for the honor of Excellent Graduation Thesis.
Research experience and academic activity
When a sophomore I joined the Association of AI Enthusiast and began to narrow down my interest for my future research. In 1997 I participated in simulation tool development for the scheduling system in Prof. Wang’s lab. With the tool of OpenGL and Matlab I designed a simulation program for transportation scheduling system. It is now widely used by different research groups in NUST. In 1998 I assumed and fulfilled a sewage analysis &dispose project for Nanjing sewage treatment plant. This was my first practice to convert a laboratory idea to a commercial product.
In 1999 I joined the distinguished Professor Yu-Geng Xis research group aiming at Network flow problem solving and Heuristic algorithm research. Soon I was engaged in the FuDan Gene Database Design. My duty was to pick up the useful information among different kinds of gene matching format. Through the comparison and analysis for many heuristic algorithms I introduced an improved evolutionary algorithm -- Multi-population Genetic Algorithm. By dividing a whole population into several sub-populations this improved algorithm can effectively prevent GA from local convergence and promote various evolutionary orientations. It proved more efficiently than SGA in experiments too. In the second semester I joined the workshop-scheduling research in Shanghai Heavy Duty Tyre plant. The scheduling was designed for the rubber-making process that covered not only discrete but also continuous circumstances. To make a balance point between optimization quality and time cost I proposed a Dynamic layered Scheduling method based on hybrid Petri Nets. The practical application showed that the average makespan was shortened by a large scale. I also publicized two papers in core journals with this idea. Recently I am doing research in the Composite Predict of the Electrical Power system assisted with the technology of Data Mining for Bao Steel. I try to combine the Decision Tree with Receding Optimization to provide a new solution for the Composite Predictive Problem. This project is now under construction.
Besides In July 2000 I got the opportunity to give a lecture in English in Asia Control Conference (ASCC) which is one of the top-level conferences among the world in the area of control and automation. In my senior year I met Prof. Xiao-Song Lin a visiting professor of mathematics from University of California-Riverside I learned graph theory from him for my network research. These experiences all rapidly expanded my knowledge of English and the understanding of western culture.
I hope to study in depth
In retrospect I find myself standing on a solid basis in both theory and experience which has prepared me for the Ph.D. program. My future research interests include: Network Scheduling Problem Heuristic Algorithm research (especially in GA and Neural network) Supply chain network research Hybrid system performance analysis with Petri nets and Data Mining.
Please give my application materials a serious consideration. Thank you very much.
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