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1、Lets GoArtificial IntelligenceMBy:ZSM人工智能AI英文第1頁What is AI?Artificial intelligence is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals. Colloquially, the term “artificial intelligence” is applied when a machine imitates the “co

2、gnition” of human ,such as learning and problem solving.It include Language Recognition,Image Recognition ,Language Processing and Expert System.人工智能AI英文第2頁BOTTOM-UP AIThe BOTTOM-UP artificial intelligence view holds that it is possible to create intelligent machines that can reasoning and problem s

3、olving, and such machines are self-conscious.人工智能AI英文第3頁 TOP-DOWN AIThe TOP-DOWN artificial intelligence believe that it is impossible to create intelligent machines that can reasoning and solve problems. These machines only seem to be intelligent, but they do not have autonomous consciousness.人工智能A

4、I英文第4頁Applications人工智能AI英文第5頁Applications1.Intelligent voice deviceSmart Speaker(智能音箱)天貓精靈小愛同學(xué)Virtual assistantSiriGoogle Assistant人工智能AI英文第6頁Applications2.Face recognition人工智能AI英文第7頁Applications3.driverless carsAdvancements in AI have contributed to the growth of the automotive industry through the

5、 creation and evolution of self-driving vehicles. As of , there are over 30 companies utilizing AI into the creation of driverless cars. A few companies involved with AI include Tesla, Google, and Apple.人工智能AI英文第8頁Applications4.HealthcareArtificial intelligence is breaking into the healthcare indust

6、ry by assisting doctors. Microsoft has developed AI to help doctors find the right treatments for cancer. there are more than 800 medicines to treat cancer. This negatively affects the doctors, because there are too many options to choose from, making it more difficult to choose the right drugs for

7、the patients. AI can help predict which combinations of drugs will be most effective for each patient.人工智能AI英文第9頁Applications5. ChemistryTo plan the syntheses of small organic molecules, chemists use retrosynthesis(逆向合成法), a problem-solving technique in which target molecules are recursively transformed into increasingly simpler precursors. They use Monte Carlo tree search and symbolic artificial intelligence (AI) to discover retrosynthetic routes.人工智能AI英文第10頁Applications6. material sciencestartwithlabdataandcomputermodellingofknowmaterials machine learning extracts common

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