人工智能PPT英文版共15页文档
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人工智能-英语介绍ppt课件
new intelligent machine that can react
in a similar way to human intelligence.
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1 robotics
2 language recognition
AI
3 image recognition
4 Natural language processing
Artificial Intelligence
汇报人：张阳阳
精品课件
WHAT IS A.I.?
It is a new technology science that
studies and develops the theories,
methods, techniques and applications
谢谢您的倾听
汇报人：张阳阳
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此课件下载可自行编辑修改，此课件供参考！ 部分内容来源于网络，如有侵权请与我联系删除！感谢你的观看！
此课件下载可自行编辑修改，此课件供参考！ 部分内容来源于网络，如有侵权请与我联系删除！感谢你的观看！
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AlphaGo
As we all know that AlphaGo eventually defeated Lee Sedol with a total score of 1: 4.This Go game shows the power of artificial intelligence
for simulating, extending and extending
human
intelligence.
Artificial
intelligence is a branch of computer
AI人工智能英文ppt课件
9
Google Alpha Go defeated lee sedol in 2016
10
In the past, human believes that broad game go is too hard for machines to play because it requires way too much computing power and logical thought processes.
12
Thank you!!
Байду номын сангаас13
2
AI
Science
Search engines
Labor
Appliances
What else? 3
AI
Walk
Honda Humanoid Robot
Turn
Stairs 4
Turing test (1936)
Alan turing （1912-1954） Computers can
Artificial intelligence
1
What is AI?
Artificial intelligence means , make computers able to do jobs which till now , only human brains can do, such as "learning" and "problem solving". Let computers become an extension of the human brain.
11
This was the Elo rating way back in 2016 .AlphaGo defeated Ke Jie in April 2017 , Ke Jie said that AlphaGo’s Elo maybe 5000 or more , which means no human brain can’t compete with it anymore.
Google Alpha Go defeated lee sedol in 2016
10
In the past, human believes that broad game go is too hard for machines to play because it requires way too much computing power and logical thought processes.
12
Thank you!!
Байду номын сангаас13
2
AI
Science
Search engines
Labor
Appliances
What else? 3
AI
Walk
Honda Humanoid Robot
Turn
Stairs 4
Turing test (1936)
Alan turing （1912-1954） Computers can
Artificial intelligence
1
What is AI?
Artificial intelligence means , make computers able to do jobs which till now , only human brains can do, such as "learning" and "problem solving". Let computers become an extension of the human brain.
11
This was the Elo rating way back in 2016 .AlphaGo defeated Ke Jie in April 2017 , Ke Jie said that AlphaGo’s Elo maybe 5000 or more , which means no human brain can’t compete with it anymore.
AI人工智能(英文)PPT课件
Picture
Picture recognition means to get a computer to understand a picture by processing ,analyzing and understanding the meaning of it.
Technology
Recognition Clouding Analysis
Voice
Picture
Voice
Voice recognition means to get a computer to understand spoken language. By “understand ”we might mean -React appropriately -convert the input speech into another medium, e.g. text
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Cortana
Contents
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Cortana
IPA
Brief Introduction
An intelligent personal assistant (or simply IPA) is a software agent that can perform tasks or services for an individual. These tasks or services are based on user input, location awareness, and the ability to access information from a variety of online sources
人工智能ArtificialIntelligence--精品PPT课件
Artificial Intelligence
NLP: 8
© Graduate University , Chinese academy of)
• 语言学的研究－理解的层次
– 句法分析：对句子和短语的结构进行分析，找出词、短 语等的相互关系以及各自在句子中的作用等。在语言自 动处理的研究中，句法分析的研究是最为集中的，这与 乔姆斯基（Chomsky）的贡献是分不开的。主要方法 有：短语结构语法、格语法、扩充转移网络、功能语法 等。
– 是一种近似匹配技术，输入句子可以不准循语法，但是也容易导致 错误
Artificial Intelligence
NLP: 16
© Graduate University , Chinese academy of Sciences.
自然语言理解的一般问题(15)
70年代句法语义分析为主流
• 采用句法-语义分析技术
• 语言学的研究－理解的层次
– 语音分析：找出最小可独立的声音单元----音素 – 词法分析：找出词汇的各个词素（词根），从中获得语
言学信息 例：我们研究所有东西;把手放在桌上 我们--研究所--有--东西 （交叉歧义） 我们--研究--所有--东西 把--手--放在--桌上 （组合歧义） 把手--放在--桌上
Artificial Intelligence
NLP: 10
© Graduate University , Chinese academy of Sciences.
自然语言理解的一般问题(9)
• 研究目标
– 建立一个足够精确的语言数学模型使计算机通过编程来 完成自然语言的相关任务。如：听、读、写、说，释义 ，翻译，回答问题等。通过语言索取信息，由此能力则 说明该系统对语言已理解了 。
AI人工智能英文PPT
This was the Elo rating way back in 2016 .AlphaGo defeated Ke Jie in April 2017 , Ke Jie said that AlphaGo’s Elo maybe 5000 or more , which means no human brain can’t compete with it anymore.
Thank you!!
1970
AI was launched
Enthusiasm
1969 IJCAI was held
Birth 1956
The great achievements of artificial intelligence
May 1997, the U.S. IBM‘s “Deep Blue” supercomputer beat the world chess champion Garry Kasparov
Artificial intelligence
What is AI?
Artificial intelligence means , make computers able to do jobs which till now , only human brains can do, such as "learning" and "problem solving". Let computers become an extension of the human brain.
Birth of AI
1956, the American scholar McCarthy who is considered the father of artificial intelligence organized a Society.Many experts and scholars gathered together for a discussion of up to two months. Inviting them to participate in the "Summer Dartmouth Artificial Intelligence Research Society." Since then, this field is named "artificial intelligence"
AI 人工智能英文介绍ppt
• Top research labs
• Microsoft Research (MSR) • IBM Research • AT&T Labs • Xerox PARC, SRI, ATR (Japan), …
-
-
1960s-1980s
1950s
The rise of AI
Turing test
1990s-2000
Shallow machine learning model
SVM,LR,Boosting
-
IBM “Deep Blue”（1997）
-
AI continued progress
1960s-1980s
SVM,LR,Boosting
-
2011-2017
New research climax of AI
AlphaGo
“AlphaGo” vs. Lee Sedo（2016）
-
Top AI schools and companies
• Top AI Schools
• Stanford University • MIT • Carnegie Mellon University (CMU) • Berkeley
-
Foundations of AI
mathematics psychology linguistics philosophy
A.I.
-
computer oscience
…
Goals of AI
• Scientific
• To create models and mechanisms of intelligent action
• Engineering
• Microsoft Research (MSR) • IBM Research • AT&T Labs • Xerox PARC, SRI, ATR (Japan), …
-
-
1960s-1980s
1950s
The rise of AI
Turing test
1990s-2000
Shallow machine learning model
SVM,LR,Boosting
-
IBM “Deep Blue”（1997）
-
AI continued progress
1960s-1980s
SVM,LR,Boosting
-
2011-2017
New research climax of AI
AlphaGo
“AlphaGo” vs. Lee Sedo（2016）
-
Top AI schools and companies
• Top AI Schools
• Stanford University • MIT • Carnegie Mellon University (CMU) • Berkeley
-
Foundations of AI
mathematics psychology linguistics philosophy
A.I.
-
computer oscience
…
Goals of AI
• Scientific
• To create models and mechanisms of intelligent action
• Engineering
AI-人工智能英文介绍幻灯片课件
neuroscienc e
…
Goals of AI
• Scientific
• To create models and mechanisms of intelligent action
• Engineering
• To understand and build intelligent systems
批注本地保存成功开通会员云端永久保存去开通
Artificial Intelligence
Foundations of AI
mathematics psychology linguistics philosophy
A.I.
computer science
artificial psychology
IBM “Deep Blue”（1997）
AI continued progress
1960s-1980s
Professor of University of Toronto， leading authority of machine leaning field
2006
1950s
The rise of AI
•Maybe…
• Strong AI is science? • Weak AI is engineering?
1950s
The rise of AI
Turing test
Turing test（1950）
AI conti
The rise of AI
• Top AI Schools
• Stanford University • MIT • Carnegie Mellon University (CMU) • Berkeley
…
Goals of AI
• Scientific
• To create models and mechanisms of intelligent action
• Engineering
• To understand and build intelligent systems
批注本地保存成功开通会员云端永久保存去开通
Artificial Intelligence
Foundations of AI
mathematics psychology linguistics philosophy
A.I.
computer science
artificial psychology
IBM “Deep Blue”（1997）
AI continued progress
1960s-1980s
Professor of University of Toronto， leading authority of machine leaning field
2006
1950s
The rise of AI
•Maybe…
• Strong AI is science? • Weak AI is engineering?
1950s
The rise of AI
Turing test
Turing test（1950）
AI conti
The rise of AI
• Top AI Schools
• Stanford University • MIT • Carnegie Mellon University (CMU) • Berkeley
人工智能英语介绍ppt课件
• Unsupervised Learning: Unsupervised learning algorithms are used to discover patterns or structures in unlabeled data Common unsupervised learning techniques include clustering, dimensionality reduction, and association rule learning
The field of AI has continued to grow quickly, with advantages in deep learning and other machine learning techniques leading to significant breakthroughs in areas such as image recognition, speech recognition, and natural language processing AI systems are now capable of performing complex tasks that were once thought to be the exclusive domain of humans
• Supervised Learning: Supervised learning algorithms are trained using labeled examples, such as input output pairs, and the goal is to generalize to new, unseen data Common supervised learning algorithms include linear regression, logistic regression, decision trees, and support vector machines
The field of AI has continued to grow quickly, with advantages in deep learning and other machine learning techniques leading to significant breakthroughs in areas such as image recognition, speech recognition, and natural language processing AI systems are now capable of performing complex tasks that were once thought to be the exclusive domain of humans
• Supervised Learning: Supervised learning algorithms are trained using labeled examples, such as input output pairs, and the goal is to generalize to new, unseen data Common supervised learning algorithms include linear regression, logistic regression, decision trees, and support vector machines