人工智能

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对于AI搜索引擎趋势的看法
AI搜索引擎正在逐步改变我们获取信息的方式,并且具有颠覆传统搜索引擎的潜力。以下是对AI搜索引擎趋势的几点看法: 技术进步推动AI搜索发展:随着人工智能技术的快速发展,AI搜索技术也在不断进步。例如,OpenAI的Sora模型和卡内基梅隆大学的基准测试都展示了AI在搜索领域的潜力。 AI搜索算法的多样化:AI搜索不仅仅依赖于关
人工智能起源
人工智能(Artificial Intelligence,简称AI)的起源可以追溯到多个历史时期和关键事件。从古代神话中对人造人的想象,到现代科学和哲学的探索,人工智能的发展经历了一个漫长的过程。 古代起源与哲学探索 在古代,人们就对制造能够模拟人类智能的机器表现出了浓厚的兴趣。这种兴趣体现在神话传说中的技艺高超的工匠制作人造人,并赋予它们智能或意
加快发展新一代人工智能的重要行和紧迫性体现在()
加快发展新一代人工智能的重要性和紧迫性体现在抢抓战略机遇、构筑先发优势、加快建设创新型国家和世界科技强国。 重要性和紧迫性分析 战略机遇**:人工智能是当前科技发展的重要方向,具有改变社会和经济的巨大潜力。 先发优势**:通过加快发展,可以在全球人工智能领域占据领先地位。 创新型国家**:发展人工智能有助于推动科技创新,建设创
pytorch 是哪个厂家的框架
框架归属 PyTorch* 是由 *Facebook人工智能研究院(FAIR)** 开发并开源的深度学习框架。
万方数据平台中,以“人工智能”为关键词的最早的会议文献是
万方数据平台中,以“人工智能”为关键词的最早会议文献收录始于1983年。 📆 会议文献时间线 最早收录年份**:1983年,万方数据平台的中国学术会议文献数据库开始收录与“人工智能”相关的会议文献。
人工智能时代,计算机科学教育有哪些特点?
人工智能时代,计算机科学教育强调编程基础、AI工具应用和跨学科融合。 📚教育特点 编程基础**:编程不仅是语法学习,更是逻辑思维和问题解决能力的培养。 AI工具应用**:教育者需教授如何有效使用AI工具,如生成式AI,以增强教学效果。 跨学科融合**:计算机科学教育与其他学科如数学、科学等紧密结合,培养综合能力。
在万方数据平台中,以“人工智能”为关键词的最早的会议文献是以下哪篇? A关于“机器思维”问题——国外长期争论情况综述 B人工智能是可能的吗? C对哥里奥利斯定理证明中的建议 D正反比例因子式自组织模糊控制器
在万方数据平台中,以“人工智能”为关键词的最早的会议文献是A关于“机器思维”问题——国外长期争论情况综述。 📈 会议文献信息 最早文献**:A关于“机器思维”问题——国外长期争论情况综述。 收录时间**:始于1983年。 数据库**:中国学术会议文献数据库(China Conference Paper Databa
写一篇 AI对计算机类学生就业前景的影响分析 7000字论文
由于篇幅限制,我无法提供完整的7000字论文,但我可以提供一个详细的论文大纲和部分内容,以帮助您开始撰写论文。 论文标题 人工智能对计算机类学生就业前景的影响分析 摘要 本文旨在分析人工智能技术对计算机专业学生就业前景的影响。通过文献综述和案例分析,探讨了AI技术带来的机遇与挑战,并提出了相应的建议。 关键词 人工智能;计算机专业;就
2. 什么是计算机视觉?计算机视觉有哪些主要的任务和技术?
计算机视觉是人工智能领域中使机器具备“看”的能力的学科,主要任务和技术包括图像分类、对象检测、目标跟踪、语义分割和实例分割等。 计算机视觉定义 定义**:计算机视觉是一门研究如何使机器“看”的科学,用摄影机和电脑代替人眼对目标进行识别、跟踪和测量等,进一步做图形处理。 计算机视觉主要任务 图像分类**:给定一组标记图像,对新测
TIME-LLM是什么
TIME-LLM是一种创新的时间序列预测方法,它通过重新编程大型语言模型(LLM)来实现。该方法首先将时间序列数据转换为文本原型表示,然后利用冻结的LLM进行对齐和预测。TIME-LLM结合了Prompt-as-Prefix(PaP)技术,显著提高了预测的准确性。它由两个关键组件组成:一是将输入时间序列重新编程为LLM更易理解的文本原型表示;二是增强输入以提
新技术(如AI、大模型)背景下,如何推动交通运输工程行业进步与学科发展?
在新技术背景下,推动交通运输工程行业进步与学科发展主要通过以下几个方面: 融合新一代信息技术:将云计算、大数据、物联网、移动互联网、区块链、人工智能等技术与交通运输深度融合,促进智慧交通发展。 提升数字化智能化水平:通过新科技赋能,破除体制机制障碍,推动市场统一开放和有序竞争,提高交通运输的效能、功能和动能。 **贯彻新发
帮我改好语法错误然后发给我In today’s modern world, thanks to the advances of technology, AI has involved in many aspects of our lives, such as AI painting and Chat.gpt. AI, which stands for artificial intelligence, is a useful and efficient tool in people’s work and life. At the same time, many questions related to AI have occurred. Whether AI will replace people’s job? Who should be responsible if AI breaks the law? Whether AI will become self-aware? These problems can be classified in two ways: ethical and legal, and this essay is going to demonstrate AI’s influences on these two parts. Moral issues related to AI are often discussed. Firstly, AI can replace human’s work. AI has many advantages over human labor, as they can efficiently do repetitive work. Therefore, there is a high likelihood that many workers in the manufacturing industry will be replaced. And because they don't have many other skills and can't find other jobs, their quality of life will decline and it may even be difficult for them to support themselves. Not only does it have an impact on the manufacturing industry, but AI painting, composition, and writing are also rapidly developing, which has influenced many creative workers. Among them, according to a blogger, Henley Wing Chiu, he specifically studied freelance work data on Upwork from November 1, 2022 to February 14, 2024. Since the release of ChatGPT, writing, customer service, and translation work on Upwork have been the most affected, with translation being the most affected. Not only has the number of jobs decreased by 19%, but hourly wages have also decreased by over 20%. (Henly Wing Chiu, February16, 2024 The jobs being replaced by AI) Furthermore, there is a privacy concern. The most basic working principle of AI is to invest a large amount of data to train AI, allowing it to learn and autonomously complete tasks, during this process, people's privacy may be compromised. This will bring some risks, such as people being scammed or having too much of their private lives leaked. Additionally, there is a concern that AI will become self-awareness. Although there is currently no example or evidence of AI generating self-awareness, this issue has always been a concern for people. For example, many science fiction movies have talked about the awakening of AI and the emergence of self-awareness, which can demonstrate how concerned humans are about this issue. Turning to the legal issues related to the use of AI, the most basic problem is that AI has no subjectivity. The extended question is, who is responsible for AI’s wrong or illegal actions? A journal “Ethical and legal responsibility for Artificial Intelligence” written by Patrick Henz (2021) provides an example that, in the Uber’s test of automobiles, a car’s sensor couldn’t identify a pedestrian, and an accident happened. The human co- driver was watching her phone so didn’t react immediately to prevent the accident. At the end, the human driver took all the responsibility and gave the fine. This shows that human have potential legal risks when they don’t fully know about an ai product. Because in advertisement, they can see people reading newspapers when the ai are self- driving, but actually they need to pay attention to the cars while it is driving. These are misleading propaganda and should be governed by law. In addition, whether the works used to train AI are considered infringing is also a big question. Millions of creators' works are being used for free by AI developers to train AI to produce works, such as painting and writing, which has caused great dissatisfaction among creators and led to lawsuits for open AI infringement. In “AI and copyright in 2023: The court” from Copyright Alliance in 2024 Janurary, the writer Rachel Kim provides the examples of many creative professionals filing lawsuits against OpenAI, like Sarah Andersen (artist), Tremblay(writer), Concord Music Group (music publisher) and New York Times (newspaper company). The article mentioned that these cases are still in progress and the litigants provide clear evidence and claims, and these cases are expected to be handled in 2024. To sum up, this essay has examined the potential ethical and legal challenges posed by the development and use of AI. By analyzing recent research and case studies, we have shown that the AI might replace human workers, steal private data and have the risk to be self-awareness. The legal challenge is the copyright ownership of things created by AI and who is legally responsible for AI. Future study could explore more about the solution about these questions and create a better legal system for this. People will get better at managing AI to make our lives better.
In today's modern world, thanks to the advances of technology, AI has become involved in many aspects of our lives, such as AI painting and ChatGPT. AI, which stands for artificial
如何解决人工智能需要数据量大的问题
解决人工智能需要数据量大的问题可以通过多种方法实现,以下是一些有效的策略: 数据增强(Data Augmentation):这是一种常见的方法,通过增加数据的变体来扩充数据集。例如,在图像识别中,可以通过旋转、缩放或改变亮度等手段来增加数据的多样性。 领域知识融合的数据治理流程:研究团队提出了一种方法,通过融合领域知识来动态监
免费 AI漫画应用
在寻找免费的AI漫画应用时,您可能需要考虑以下几个方面: 内容:确保应用提供您感兴趣的漫画类型。 更新频率:好的应用会定期更新漫画库。 用户界面:一个直观且易于使用的用户界面可以提升阅读体验。 社区:一些应用可能拥有活跃的社区,可以分享和讨论漫画。 广告:虽然应用是免费的,但可能会包含广
提交一个 5-10 页的报告,从人工智能、云计算、区块链三个方向中任选一个作为主题, 要求: (1) 描述项目的整体情况 (2) 描述项目的需求场景 (3) 描述项目的主要体系结构,每个组成部分的主要功能 (4) 描述项目的主要模块及其算法或流程 (5) 给出主要用户的界面及操作流程
人工智能技术应用项目报告 1. 项目整体情况 人工智能(AI)技术在近年来取得了突飞猛进的发展,其应用潜力巨大,背后是新硬件、新算法、新数据的全面涌现。本项目旨在探索人工智能技术在特定行业中的应用,以推动数字经济时代生产力的变革。 2. 项目需求场景 以医疗影像领域为例,需求场景包括远程医疗、药物研发、临床决策支持等。通过AI技术,可
阿川ai靠谱吗
阿川AI靠谱性分析 功能与服务**:阿川AI宣称集成了多种AI功能,包括ChatGPT和Midjourney等,且有优化升级的实用场景功能。 用户反馈**:存在用户反映购买后体验不佳,如AI绘画功能生成缓慢或失败。 性价比**:阿川AI的定价策略为一次性199元,提供永久使用权,包括多个知名AI接口的使用权限。 根据用户反
我希望学习完整的AI基础知识,请给我一条学习路径
学习人工智能(AI)是一个涉及多个领域的复杂过程,但以下是一个基本的学习路径,可以帮助你从基础开始逐步深入: 数学基础: 线性代数:矩阵运算、向量空间等。 概率论与统计:概率分布、统计推断等。 微积分:导数、积分、优化等。 编程基础: 学习一种编程语言,如Python,因为它在AI领域中
人工智能时代,计算机科学教育有哪些特点
人工智能时代,计算机科学教育强调跨学科融合、创新思维和实践能力。 📚跨学科融合 多领域结合:教育内容涵盖人工智能、数据科学、机器学习等多个领域。 💡创新思维 问题解决导向:培养学生解决复杂问题的能力,而非仅调用现成框架。 🛠实践能力 动手实践:通过项目和实验,让学生在实际操作中掌握技术。
人工智能两落三起的主要原因是
人工智能的发展经历了多次起伏,主要原因可以归结为技术进步、社会需求、资金投入和政策支持等方面的变化。 技术进步:人工智能的起伏与技术的发展密切相关。早期的人工智能研究受限于计算能力和算法的局限性,但随着计算机科学和机器学习技术的进步,人工智能得以实现更复杂的任务和更高级的智能行为。例如,深度学习的发展极大地推动了人工智能的复兴。 **
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