transform人工智能（sift算法是不是人工智能）

本文目录

• sift算法是不是人工智能
• unity3d ai是做什么的
• 关于人工智能方面的英文论文及其翻译
• Level 6 - Unit 3 - Part 2 Reading - The Challenge of AI（AI的挑战）
• 人工智能,机器学习中的小样本学习,需要具备什么
• 关于人工智能的英文作文

sift算法是不是人工智能

• sift算法是人工智能，算是人工智能的一种。

• 是
  尺度不变特征转换(Scale-invariant feature transform或SIFT)是一种电脑视觉的算法用来侦测与描述影像中的局部性特征，它在空间尺度中寻找极值点，并提取出其位置、尺度、旋转不变量，此算法由 David Lowe在1999年所发表，2004年完善总结。
  其应用范围包含物体辨识、机器人地图感知与导航、影像缝合、3D模型建立、手势辨识、影像追踪和动作比对。

unity3d ai是做什么的

Unity3d人工智能确定性AI算法。

核心代码：

using UnityEngine;

using System.Collections;

public class PlayObject : MonoBehaviour

{

public float moveVx;//x方向的分速度

public float moveVy;//y方向的分速度

/// 《summary》

/// 2维坐标(x,y)

/// 《/summary》

public Vector2 Position

{

get

{

return new Vector2(this.transform.position.x, this.transform.position.y);

}

}

private Vector2 _vHeading;

/// 《summary》

/// //设置导弹的前进方向的归一化向量m_vHeading

/// 《/summary》

public Vector2 vHeading

{

get

{

float length = Mathf.Sqrt(moveVx * moveVx + moveVy * moveVy);

if (length != 0)

{

_vHeading.x = moveVx / length;

_vHeading.y = moveVy / length;

}

return _vHeading;

}

}

private Vector2 _vSide;

/// 《summary》

/// 前进方向的垂直向量

/// 《/summary》

public Vector2 vSide

{

get

{

_vSide.x = -vHeading.y;

_vSide.y = vHeading.x;

return _vSide;

}

}

/// 《summary》

/// 速度向量

/// 《/summary》

public Vector2 Velocity

{

get

{

return new Vector2(moveVx, moveVy);

}

}

/// 《summary》

/// 速度标量

/// 《/summary》

public float Speed

{

get

{

return Mathf.Sqrt(moveVx * moveVx + moveVy * moveVy);

}

}

public float MaxSpeedRate;

// Use this for initialization

void Start()

{

}

// Update is called once per frame

void Update()

{

}

/// 《summary》

/// 移动物体

/// 《/summary》

/// 《param name="speedRate"》移动的速度率，一般为1《/param》

/// 《param name="isLookAtVelocityVector"》是否要这是速度矢量与物体的朝向一致《/param》

public void Move(float speedRate, bool isLookAtVelocityVector)

{

this.transform.position += new Vector3(moveVx * Time.deltaTime, moveVy * Time.deltaTime, 0) * speedRate;

//  Debug.Log("x:" + m_postion.x + "y:" + m_postion.y);

//调整导弹的朝向是的它和速度矢量合成方向一样

if (isLookAtVelocityVector)

{

LookAtVelocityVector();

}

}

/// 《summary》

/// 使得物体始终朝向矢量速度的方向

/// 《/summary》

void LookAtVelocityVector()

{

float zAngles = Mathf.Atan(moveVx / moveVy) * (-180 / Mathf.PI);

if (moveVy == 0)

{

zAngles = moveVx 》 0 ? -90 : 90;

//跟以往的计算角度不同的是，这里加了moveVx==0的独立判断，这样可以在不控制的时候保持原状态

if (moveVx == 0)

{

zAngles = this.transform.rotation.eulerAngles.z;

}

}

if (moveVy 《 0)

{

zAngles = zAngles - 180;

}

Vector3 tempAngles = new Vector3(0, 0, zAngles);

Quaternion tempQua = this.transform.rotation;

tempQua.eulerAngles = tempAngles;

this.transform.rotation = tempQua;

}

}

关于人工智能方面的英文论文及其翻译

Artificial Intelligence (AI) is the intelligence of machines and the branch of computer science which aims to create it. Textbooks define the field as "the study and design of intelligent agents,"
The field was founded on the claim that a central property of human beings, intelligence—the sapience of Homo sapiens—can be so precisely described that it can be simulated by a machine.
AI research is highly technical and specialized, deeply divided into subfields that often fail to communicate with each other.
Thinking machines and artificial beings appear in Greek myths, such as Talos of Crete, the golden robots of Hephaestus and Pygmalion’s Galatea. Stories of these creatures and their fates discuss many of the same hopes, fears and ethical concerns that are presented by artificial intelligence.
The problem of simulating (or creating) intelligence has been broken down into a number of specific sub-problems. These consist of particular traits or capabilities that researchers would like an intelligent system to display. The traits described below have received the most attention.
Deduction, reasoning, problem solving
Early AI researchers developed algorithms that imitated the step-by-step reasoning that human beings use when they solve puzzles, play board games or make logical deductions.
For difficult problems, most of these algorithms can require enormous computational resources — most experience a "combinatorial explosion": the amount of memory or computer time required becomes astronomical when the problem goes beyond a certain size. The search for more efficient problem solving algorithms is a high priority for AI research.
Human beings solve most of their problems using fast, intuitive judgments rather than the conscious, step-by-step deduction that early AI research was able to model. AI has made some progress at imitating this kind of "sub-symbolic" problem solving: embodied approaches emphasize the importance of sensorimotor skills to higher reasoning; neural net research attempts to simulate the structures inside human and animal brains that gives rise to this skill.
General intelligence
Main articles: Strong AI and AI-complete
Most researchers hope that their work will eventually be incorporated into a machine with general intelligence (known as strong AI), combining all the skills above and exceeding human abilities at most or all of them.
Many of the problems above are considered AI-complete: to solve one problem, you must solve them all. For example, even a straightforward, specific task like machine translation requires that the machine follow the author’s argument (reason), know what is being talked about (knowledge), and faithfully reproduce the author’s intention (social intelligence). Machine translation, therefore, is believed to be AI-complete: it may require strong AI to be done as well as humans can do it.
Approaches
There is no established unifying theory or paradigm that guides AI research. Researchers disagree about many issues.
Cybernetics and brain simulation
Main articles: Cybernetics and Computational neuroscience

There is no consensus on how closely the brain should be simulated.In the 1940s and 1950s, a number of researchers explored the connection between neurology, information theory, and cybernetics. Some of them built machines that used electronic networks to exhibit rudimentary intelligence, such as W. Grey Walter’s turtles and the Johns Hopkins Beast. Many of these researchers gathered for meetings of the Teleological Society at Princeton University and the Ratio Club in England. By 1960, this approach was largely abandoned, although elements of it would be revived in the 1980s.
How can one determine if an agent is intelligent? In 1950, Alan Turing proposed a general procedure to test the intelligence of an agent now known as the Turing test. This procedure allows almost all the major problems of artificial intelligence to be tested. However, it is a very difficult challenge and at present all agents fail.
Artificial intelligence can also be evaluated on specific problems such as small problems in chemistry, hand-writing recognition and game-playing. Such tests have been termed subject matter expert Turing tests. Smaller problems provide more achievable goals and there are an ever-increasing number of positive results.
The broad classes of outcome for an AI test are:
Optimal: it is not possible to perform better
Strong super-human: performs better than all humans
Super-human: performs better than most humans
Sub-human: performs worse than most humans
For example, performance at draughts is optimal, and performance at many everyday tasks performed by humans is sub-human.
A quite different approach is based on measuring machine intelligence through tests which are developed from mathematical definitions of intelligence. Examples of this kind of tests start in the late nineties devising intelligence tests using notions from Kolmogorov Complexity and compression . Mathematical definitions have, as one advantage, that they could be applied to nonhuman intelligences and in the absence of human testers.
AI is a common topic in both science fiction and in projections about the future of technology and society. The existence of an artificial intelligence that rivals human intelligence raises difficult ethical issues and the potential power of the technology inspires both hopes and fears.
Mary Shelley’s Frankenstein,
Another issue explored by both science fiction writers and futurists is the impact of artificial intelligence on society. In fiction, AI has appeared as a servant (R2D2 in Star Wars), a law enforcer (K.I.T.T. "Knight Rider"), a comrade (Lt. Commander Data in Star Trek), a conqueror (The Matrix), a dictator (With Folded Hands), an exterminator (Terminator, Battlestar Galactica), an extension to human abilities (Ghost in the Shell) and the saviour of the human race (R. Daneel Olivaw in the Foundation Series). Academic sources have considered such consequences as: a decreased demand for human labor,
Several futurists argue that artificial intelligence will transcend the limits of progress and fundamentally transform humanity. Ray Kurzweil has used Moore’s law (which describes the relentless exponential improvement in digital technology with uncanny accuracy) to calculate that desktop computers will have the same processing power as human brains by the year 2029, and that by 2045 artificial intelligence will reach a point where it is able to improve itself at a rate that far exceeds anything conceivable in the past, a scenario that science fiction writer Vernor Vinge named the "technological singularity".

Level 6 - Unit 3 - Part 2 Reading - The Challenge of AI（AI的挑战）

The internet and smartphones have changed the world and how we relate to each other. Instead of meeting in person, we increasingly interface through handheld devices. In a sense, real people are being removed, replaced by technology and virtual friends. Some people even say that they prefer to confide in their virtual friends rather than their real friends!
互联网和智能手机改变了世界，改变了我们之间的关系。我们不再需要面对面，而是越来越多地通过手持设备进行交互。在从某种意义上说，真实的人正在被科技和虚拟朋友所取代。有些人甚至更愿意向虚拟朋友倾诉，而不是真正的朋友！

AI, or artificial intelligence, is another technology that is highly disruptive. With AI, smartphone and other devices will have even more capabilities.They will be able to converse with us and tell us jokes. They may even become personal tutors, and replace our online human tutors.They will be able to do this because they will have access to our life histories. They will know what kind of problems we have, our preferences, and any content we want to learn or practice,they will be able to adapt to our needs and be available at any time. And all this will be at less cost than using a human.
AI（人工智能）是另一种极具破坏性的技术。有了AI，智能手机和其他设备将具有更多的能力。它们能和我们交谈，讲笑话，甚至可以成为私人导师，取代我们的在线人力资源导师。它们之所以可以做这些因为它们可以访问我们的生活史，它们知道我们的问题，我们的喜好，以及我们想学习或实践的任何内容，它们能够适应我们的需要，并且随时可用，所有这些都比使用人的成本低。

In fact, the substitution of AIs for human labor has the potential to transform our world. Experts warn that smart machines may cause widespread unemployment. Many workers will become redundant, replaced by machines that can perform cognitive tasks better than people. An even greater danger is that they will develop personalities and become more interesting than people.Work is already underway to produce AI companions for lonely people.
事实上，AI取代人类劳动有可能改变我们的世界。专家警告说，智能机器可能导致大范围失业，大量工人将变得多余，取而代之的是比人更能执行认知任务的机器。一个更大的危险是，它们将开发个性，变得比人更有趣。为孤独的人生产AI伴侣的工作已经开始。

Are these development something to worry about or something to welcome? How are they different than developments in the past, such as the industrial revolution? Cars replaced horses; machines and industrial robots replaced factory workers.
这些发展是值得担心还是值得欢迎？它们与过去的发展有什么不同，比如工业革命？汽车取代了马；机器和工业机器人取代了工厂工人。

Since the shift to AI is inevitable, the challenge for policy makers will be to help existing workers acquire new skills. Future generations must be prepared for a workplace populated by AIs that will continue to develop and take on new tasks. Are we up to the task?
由于向AI的转变不可避免，决策者面临的挑战将是帮助现有工人获得新技能。新一代必须为一个由继续发展并承担新任务的AI所组成的工作场所做好准备。我们能胜任这项任务吗？

人工智能,机器学习中的小样本学习,需要具备什么

小样本一般很难学，你可以用一些transform扩充一下样本的数量，或者再去采集一些样本；要么就用简单的结构去学习，比如svm什么的多次采样训练多个weak分类器去投票完成。
需要具备什么？需要正/负样本数目接近（不接近需要舍弃过多的，考虑到小样本还是通过变换增加过少的），做supervised learning需要给定标签。

关于人工智能的英文作文

　　人工智能成为写作的题材，那么关于仍工智能的英文作文有哪些呢?下面是我为你整理的关于人工智能的英文作文，供大家阅览!
　　人工智能的英文作文一：How will the AI affect our life ?
　　The Robot is the most direct embodiment of artificial intelligence. There are a lot of robots in our lives that help us.For example:

　　A robot that can sweep the floor:It can automatically complete the floor cleaning work in the room. General brush and vacuum, the ground debris into its own storage boxes, thereby completing the function of cleaning the ground, is a good helper for busy office workers.

　　Robot capable of operation:In May 2015, a segment of the robot cut the grapes and cut the grapes into the perfect stitching of the video on the Internet became popular, people are very surprised. Yes, that is the "Da Vinci" surgical robot. Da Vinci surgical robot forte is minimally invasive surgery. It can assist doctors to carry out a small incision, the operation of complex surgery, but also on the operation of the image analysis, to help doctors better surgery. Da Vinci appeared to make more because of the difficulty of the operation will be to lose their lives to get help.

　　Nano robo:Nano robot is small, but it can cure disease, but also to control water pollution. Scientists in 2015 will be the nano robots to carry out clinical trials of Escherichia coli, in the study of wastewater treatment has been a great progress. Nano robot in the treatment of heart disease, the nano robot will go through a diameter of 2 to 3 mm of the catheter, to enter the specific parts of the need for treatment. This catheter technique can also be used in the brain and other parts, such as the intestinal tract and the urethra. The most difficult to enter these parts is to achieve a high degree of accuracy. For this reason, nanotechnology has long been hailed as the most ideal weapon against cancer in the future.

　　These are artificial intelligence for our life brings convenience embodiment, there are a number of other robots, such as, able to take weight and drive the robot and so on.

　　These days the big star of the "Alpha dog", it than our powerful is its operation ability, it is not beyond the human mind! And some occupations is cannot be replaced by robots, such as the need to human inspiration and creativity of the designers, to experience life and emotion of the teacher, the need of good or bad judgment of lawyers, and so on, artificial intelligence is not a panacea. I believe that one day the big white will go down the screen to come to people’s side, become an indispensable human good friends, and like the terminator that the evil, will always remain on the screen.
　　人工智能的英文作文二
　　How Will AI Affect Our Life The artificial intelligence, such as a computer that thinks like a human being is scary. When it comes to this issues, different people offer different views, some people think that machine has feelings like human beings is interesting and it may be a better server to human; while the other think it is dangerous, it may causes a revolt.

　　In my opinion, We should not be afraid of artificial intelligence. It is the science and technology revolution that makes the modern civilization.let me talk some advantages of AI. On the one hand ,AI makes our society much richer than before.Because AI makes the same labors can produce more products in the same time. On the other hand, Computer is the most common artificial intelligence products. Without computer,we may not know so much about the updated information of the world.Without computer,scientist may not invent so many amazing inventions. In summary I sure AI has bright future.

　　In a word,AI changes our life in everywhere and we can see AI in everywhere.Maybe we think there is not any weakness in AI.

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