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AI Technologies that can be explored as your dissertation (1)

There are a huge variety of technologies and applications of AI that can be explored in the dissertation. It is significant to conduct many types of research relating to AI in the future. 4 The engagement of researchers with challenges posed due to the research in AI is unlimited. Some research topics,

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AI Technologies that can be explored as your dissertation (1)

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  1. POTENTIAL RESEARCH AREA FORPHDINARTIFICIAL INTELLIGENCE AnAcademicpresentationby Dr.NancyAgnes,Head,TechnicalOperations,TutorsIndia Group www.tutorsindia.com Email:info@tutorsindia.com

  2. Today'sDiscussion OUTLINE Abstract Applications of Artificial Intelligence RecentTrends in AI LatestTopics in Artificial Intelligence Conclusion

  3. Abstract Artificial Intelligence (AI) is focusing on one of the most significantelementsthatcouldbringaremarkablechangeto humanlife. OtheremergingtechnologiesincludetheInternetofThings (IoT),Big Data,Machine Learning. Thesetechnologiesaretheunlimitedandunpredictablepossible source, and no one knows how they could change the world in thefuture. ThedeeperyoulearnaboutAI,thescarieryouwillfind.Weare inthe mostprecious timeof our kind. Contd...

  4. Thereisnothingthatcanstopus,fromfindingoutspacetogettingourhandson humangenetics. Wecanmodifytheweather;evenwearenotpayingattentiontodoit. Eventhough,AIisonethingthatisuncontrollable,carryingoutadissertationinAI willenableandcontributetointelligence.1

  5. Applications of Artificial Intelligence ThereachofArtificialIntelligenceisconstantlygrowingandis usednow in manydomains. Automated reasoning is the first step in artificial intelligence programming. It is a program that considers some encoded data about the world as input and presents secondary conclusions based on thedata provided asoutput. At first, this automated reasoning programming was merely consideredacademic. Contd...

  6. Buttoday,itisusedinairtrafficcontrolsystems,videogames,andtheMarsrover.2Buttoday,itisusedinairtrafficcontrolsystems,videogames,andtheMarsrover.2 In the present century, AI has been significantly used in any area of research and in all fields:Science,engineering,medicine,education,business,finance,accounting, marketing,stock market,economics, andlaw, amongmany others. Sincetheintelligenceofmachines,therangeofAIhasgrowntremendouslywith machinelearningcapabilitiesandalsohasproducedprofoundimpactson governments,businesses, and society. Artificial intelligence is used in solving major issues like supply chain management, logistics,optimizationof energyresources, wastemanagement, etc. Contd...

  7. Alsoinsmartproduction,AIcanbeincorporatedintogreenmanufacturingprocesses forbetter environmental policies. 3 Next blog: Impacts of artificial intelligence in enhancing customer engagement – HowAI can ImproveCustomer Experience Strategy

  8. Recent TrendsinAI ThereareseveralfactorsthatfueledtherevolutioninAI. Mostimportantamongthemisthebuddingofmachine learning, supported partly by resources of cloud computing resourcesandweb-baseddatagatheringwhichisextensive. Machinelearningtechnologieshave forwarddirectionbyDeeplearning, adaptiveartificialneuralnetwork. been pushed in a which is a type of FollowingaretherecenttrendsinAI. Large-scalemachinelearning: Manyofthemachine learning issues like supervised and unsupervised learning is well-understood. Contd...

  9. A major effort has been made to balance existing algorithms to handle exceptionally largedata sets. Deep learning: The convolutional neural networks that have been trained successfully has benefited the most field of computer vision, and several applications like video labeling,objectrecognition, activityrecognition, andseveral others. This technology has also benefitted many areas of insight, such as speech, audio, and naturallanguage processing. Robotics:Roboticnavigationhasbeenmainlysolvedinstaticenvironments. Current efforts have been made to train a robot to communicate with the world in more generalizedand conventional ways. Contd...

  10. Another major topic of current interest that arises in interactive environments is manipulation. Influenceinroboticsisonlythebeginningofthedeeplearningrevolution. Computervision:Themostwell-knownformofmachineperceptionincomputervision. Itisthesub-fieldof AIwhichhasbeentransformed bytheriseofdeep learning. Natural Language Processing: This technology is another active area of machine perceptionand oftencoupled withautomatic speechrecognition. 5

  11. LatestTopics in Artificial Intelligence 1Rule-BasedExpertSystemsforImageUnderstanding: Recently several expert systems for image processing were proposed. The aim of rule- based expert system is to take knowledge fromahumanexpertandconvertthisintoanumberof hardcodedrulesto applyto theinput data. Spatial Structure and Function in Diagnosis: Structures are related to object – associated visual information that remains constantwithinthe periodof observation. Functionsdisplaywithchangeseitherinrelationto contemporarystructuresortothebackgroundortoboth. Contd...

  12. Structures are usually visible in hierarchical spatial order, functions in both spatial and timeoriented order. Device Modeling for a Versatile Maintenance Expert System: VMES is a device- model-basedversatilemaintenanceexpertsystemforthedomainofdigitalcircuits. The objective of VMES is to interact with a maintenance technician to identify the specificfaultycomponents orconnections ofa malfunctioningcircuit. AComputationalTheoryofWordRecognition:Computationaltheoryofword recognition has proven to be a valuable approach in developing theories of spoken- wordprocessing. Contd...

  13. In this paper, we focus on a particular class of theories in which it is assumed that the spoken-wordrecognitionprocessconsistsoftwoconsecutivestages,withan `abstract'discretesymbolicrepresentationattheinterfacebetweenthestages. Selection and Use of Image Features in Early Visual Processing: The visual system is constantly bombarded with information originating from the outside world, but it is unableto processall thereceived informationat any giventime. MachineUnderstandingandDataAbstraction:Themainscopeofthistopicis machine learning and temporal abstraction methods and their application in medical diagnosis. It includes selection of methods and diagnostic domains, and also the performance or viabilityof approaches. Contd...

  14. Blockchaininhealthcare:Blockchainsinhealthcarecanbeenvisagedinfiveprimary areas:Managing electronicmedical record (EMR)data. Protectionofhealthcaredata.Personalhealthrecorddatamanagement. AIforsustainability: AIcanbe anetpositive contributortoenvironmental sustainability inmany industries. Here are some examples: In agriculture, AI can transform production by better monitoringandmanaging environmentalconditions andcrop yields. AIcanhelpreducebothfertilizerandwater,allwhileimprovingcropyields.6

  15. Conclusion ThereareahugevarietyoftechnologiesandapplicationsofAI thatcan beexplored inthe dissertation. It is significant to conduct many types of research relating to AI in thefuture. 4 The engagement of researchers with challenges posed due to theresearchin AI isunlimited. Some research topics, like the similarity and difference between analysis of the future and religious eschatology, have been well focused,withstrongargumentationsandreasonablyobvious conclusions. Contd...

  16. Other topics such as the radical transformations that are already causing to our societyandourrelationtooneanotherstillneedsadeeptheologicalevaluation.7 TutorsindiaoffersArtificialIntelligenceandMachineLearningthesishelp includesDeepLearning,Robotics,NaturalLanguageProcessing,Reinforcement Learning,ArtificialNeuralNetwork,ExpertSystems,FuzzySystems,Computer Vision,Biometrics, Computational Biology Contd...

  17. CONTACTUS UNITEDKINGDOM +44-1143520021 INDIA +91-4448137070 EMAIL info@tutorsindia.com

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