人工智能AI英文.ppt

Lets GoArtificial IntelligenceMWhat 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 “cognition” of human ,such as learning and problem solving.It include Language Recognition，Image Recognition ，Language Processing and Expert System.BOTTOM-UP AIBOTTOM-UP AIThe BOTTOM-UP BOTTOM-UP artificial intelligence view holds that it is possible to create intelligent machines that can reasoning and problem solving, and such machines are self-conscious. TOP-DOWNTOP-DOWN AIAIThe 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.ApplicationsApplications1.Intelligent voice device1.Intelligent voice deviceSmart Speaker（智能音箱）天猫精灵小爱同学Virtual assistantSiriGoogle AssistantApplications2.Face recognition2.Face recognitionApplications3.driverless cars3.driverless carsAdvancements in AI have contributed to the growth of the automotive industry through the creation and evolution of self-driving vehicles. As of 2016, there are over 30 companies utilizing AI into the creation of driverless cars. A few companies involved with AI include Tesla, Google, and Apple.Applications4.Healthcare4.HealthcareArtificial intelligence is breaking into the healthcare industry 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 the patients. AI can help predict which combinations of drugs will be most effective for each patient.Applications5. Chemistry5. 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.Applications6. material science6. material sciencestartwithlabdataandcomputermodellingofknowmaterials machine learning extracts common patternsresultsguidepredictionofnewmaterials try to make the candidates for real-world testingThanks