人工智能的历史源远流长.在古代的神话传说中,技艺高超的工匠可以制作人造人,并为其赋予智能或意识.[1]现代意义上的AI始于古典哲学家用机械符号处理的观点解释人类思考过程的尝试.20世纪40年代基于抽象数学推理的可编程数字计算机的发明使一批科学家开始严肃地探讨构造一个电子大脑的可能性. 1956年,在达特茅斯学院举行的一次会议上正式确立了人工智能的研究领域.会议的参加者在接下来的数十年间是AI研究的领军人物.他们中有许多人预言,经过一代人的努力,与人类具有同等智能水平的机器将会出现.同时,上千万美…

About this Course AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: The meaning behind com…

EECS 649 Introduction to Artificial IntelligenceExamElectronic Blackboard Submission Due: April 24, 2019 @ 9PMPaper Copy Due: April 25, 2019 @ 4PM200 PointsDirections: You must read and follow these directions carefully. This is a 3 hour open notes,o…

Evolution Strategies as a Scalable Alternative to Reinforcement Learning this blog from: https://blog.openai.com/evolution-strategies/   MARCH 24, 2017 Evolution Strategies as a Scalable Alternative to Reinforcement Learning We’ve discovered that evo…

1. [代码][JavaScript]代码    var AI = AI||{}; AI.historyTable =   {};     //历史表  //人工智能初始化AI.init = function(pace){    var bill = AI.historyBill || com.gambit; //开局库    if (bill.length){        var len=pace.length;        var arr=[];        //先搜索棋谱     …

好久没写随笔了,好怀恋2013年的日子,因为现在不能回到过去了! 再见了 感谢你为我做的一切! 进入正题:HTML5之中国象棋 很小就会下象棋了,  这是象棋的测试地址:点击我吧   然后点击里面的象棋 图片: 界面截图: 语言:javascript 浏览器需要支持HTML5 原理: 象棋由帅(将).仕(士).相(象).车(车).马(马).炮(炮).兵(卒)组成.     公司也由许许多多的公司职员组成,现在我就简要分析一下公司人员组成的象棋原理. 帅(将)无疑是决胜于千里之外,运筹帷幄之中的关…

Deep Learning in a Nutshell: History and Training This series of blog posts aims to provide an intuitive and gentle introduction to deep learning that does not rely heavily on math or theoretical constructs. The first part in this series provided an…

 History Grading  Background Many problems in Computer Science involve maximizing some measure according to constraints. Consider a history exam in which students are asked to put several historical events into chronological order. Students who order…

[导读] 本文由知名开源平台,AI技术平台以及领域专家:Datawhale,ApacheCN,AI有道和黄海广博士联合整理贡献,内容涵盖AI入门基础知识.数据分析挖掘.机器学习.深度学习.强化学习.前沿Paper和五大AI理论应用领域:自然语言处理,计算机视觉,推荐系统,风控模型和知识图谱.是你学习AI从入门到专家必备的学习路线和优质学习资源. 基础知识 1.数学 数学是学不完的,也没有几个人能像博士一样扎实地学好数学基础,入门人工智能领域,其实只需要掌握必要的基础知识就好.AI的数学基础最主要…

How Transformers Work --- The Neural Network used by Open AI and DeepMind Original English Version link:https://towardsdatascience.com/transformers-141e32e69591 Chinese version by 量子位. 本文的主要内容:RNN, LSTM, Attention, CNN, Transformer, Self-Attention, M…