Artificial Intelligence Research Topics for PhD Manuscripts 2021 - Phdassistance

1. ARTIFICIAL INTELLIGENCERESEARCH TOPICS FOR PHD MANUSCRIPTS2021 An Academic presentationby Dr. Nancy Agnes, Head, Technical Operations,Phdassistance Group www.phdassistance.com Email:info@phdassistance.com

2. TODAY'SDISCUSSION Outline Introduction Deeplearning Reinforcement learning Robotics Natural languageprocessing Computervision Recommender systems Internet ofthings Conclusion

3. Imagine a world where knowledge isn't limited to humans!!! A world in which computers will think and collaborate with humans to create a more exciting universe. Although this future is still a long way off, Artificial Intelligence has made significant progress in recentyears. In almost every area of AI, such as quantum computing, healthcare, autonomous vehicles, the internet of things, robotics, and so on, there is a lot of research goingon. Contd... INTRODUCTION

4. So much so that the number of annual Published Research Paperson Artificial Intelligence has increased by 90% since1996. Keeping this in mind, there are several sub-topics on which you can concentrate if you want to study and write a thesis on ArtificialIntelligence. This article covers a few of these subjects and provides a shortoverview.

5. Here some of the recentResearch Topics, Artificial Intelligence and Machinelearning – RecentTrands How AI and ML can aid healthcare systems in their response toCOVID-19 Machine learning and artificial intelligence inhaematology Tackling the risk of stranded electricity assets with machine learning andartificial intelligence

6. Deep Learning is a type of machine learning that learns by simulating the internal workings of the human brain in order to process data and makedecisions. DeepLearningisaformofmachinelearningthatemploys artificial neural networks. These neural networks are linked in a web-like structure, similar to the human brain's networks (basically a condensed version of ourbrain!). Contd... DEEPLEARNING

7. Artificial Intelligence Research Topics for PhD Manuscripts

8. Artificial neural networks have a web-like structure that allows them to process data in a nonlinear manner, which is a major advantage over conventional algorithms that can only process data in a linearmanner. Rank Brain, one of the variables in the Google Search algorithm, is an example of a deep neuralnetwork.

9. RECENT RESEARCH TOPICS Artificial intelligence & deep learning : PET and SPECTimaging Hierarchical Deep Learning Neural Network (HiDeNN): A computational science and engineering in AIarchitecture. AI for surgical safety: automatic assessment of the critical view of safety in laparoscopic cholecystectomy using DeepLearning Deep learning-enabled medical computervision

10. Reinforcing Learning is an aspect ofArtificial Intelligencein which a computer learns something in the same way as humansdo. Assume the computer is a student, for example. Over time, the hypothetical student learns from itserrors. As a outcome of trial and error, Reinforcement Machine Learning Algorithms learn optimalbehaviour. Contd... REINFORCEMENT LEARNING

11. This means that the algorithm determines the next way to proceed by learning behaviours based on its current state that will increase the reward in thefuture. This also works for robots, just as it does forhumans! Google's AlphaGoComputerProgramme, for example, used ReinforcementLearning to defeat the world champion in the game of Go (a human!) in2017. Contd...

12. RECENT RESEARCHTOPICS Experimental quantum speed-up in reinforcement learningagents Potential-based multiobjective reinforcement learning approaches agents for AIsafety to low-impact

13. Robotics is an area concerned with the creation of humanoid robots that can assist humans and perform severalacts. In certain cases, robots can behave like humans, but can they think like humans aswell? Kismet, a social interaction robot developed at M.I.T.'s Artificial Intelligence Lab, is an example ofthis. It understands human body language as well as our voice and responds to themappropriately. Contd... ROBOTICS

14. Another example is NASA's Robonaut, which was designed to assist astronauts in space. RECENT RESEARCH TOPICS Regulating artificial intelligence and robotics: ethics by design in a digitalsociety. Regional anaesthesia :usages of artificial intelligence androbotics Third Millennium Life Saving Smart Cyberspace Driven by AI andRobotics.

15. Humans can obviously communicate with each other by speech, but now machines can aswell! NATURAL LANGUAGE PROCESSING This is known as Natural Language Processing, and it involves machines analysing and understanding language and expression as it is spoken (which means that if you speak to a computer, it might onlyrespond!). Speech recognition, natural language production, natural language translation, and other aspects of NLP are all concerned withlanguage. Contd...

16. NLP is recently very important in customer service applications, particularlychatbots. These chatbots use machine learning and natural language processing to communicate with users in textual form and respond to theirquestions. As a result, you get a personal touch in your customer service experiences without actually speaking with ahuman. Here are several research papers in the field of Natural Language Processing that have beenpublished. Contd...

17. You can look at them to get more ideas for research and thesis topics on this subject. RECENT RESEARCH TOPICS Natural Language Processing–Based Virtual Cofacilitator for Online Cancer Support Groups: Protocol for an Algorithm Development and ValidationStudy Sympathetic the temporal evolution of COVID-19 ResearchThrough Machinel earning and natural languageprocessing

18. The internet is full of images! This is the selfie age, and taking and posting a photo has never beeneasier. Each day, millions of images are uploaded to the internet andviewed. It's important for computers to be able to see and understand images in order to make the most of the vast amount of images availableonline. And, while humans can do this without thinking about it, computers find it more difficult! This is where Computer Vision enters theimage. Contd... COMPUTER VISION

19. To extract information from images, Computer Vision utilizes ArtificialIntelligence. This knowledge may include object detection in the image, image contentrecognition to group images together, and soon. Navigation for autonomous vehicles using images of the surroundings is one use of computer vision, such as AutoNav, which was used in the Spirit and Opportunity rovers that landed onMars. Contd...

20. RECENT RESEARCH TOPICS Deep learning-enabled medical computervision Artificial intelligence for surgical safety: automatic assessment of the critical view of safety in laparoscopic cholecystectomy using deeplearning An Open‐Source Computer Vision Tool for Automated Vocal Fold Tracking From Videoendoscopy Contd...

21. Do you get movie and series recommendationsfrom Netflixbasedonyourpreviouschoicesorfavourite genres? This is achieved by Recommender Systems, which offer you advice about what to do next from the vast array of options availableonline. RECOMMENDER SYSTEMS Content-based Recommendation Collaborative Filtering may be or even used in a RecommenderSystem. The content of all the products Content-BasedRecommendation. is analysed in Contd...

22. For example, based on Natural Language Processing performed on the books, you might be recommended books that you mayenjoy. CollaborativeFiltering, on the other hand, analyses your past reading behaviour and then recommends books based onit. Contd...

23. RECENT RESEARCH TOPICS Artificial intelligence in recommendersystems Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems. Recommender systems for configuration knowledgeengineering

24. Artificial intelligence is concerned with the creation of systems that can learn to perform human-like tasks based on prior experience and without the need for humaninteraction. INTERNETOF THINGS The Internet of Things, on the other hand, is a network of different devices linked to the internet and capable of collecting and exchangingdata. All of these IoT devices now generate a large amount of data, which must be collected and mined in order to produce actionableresults. Contd...

25. Artificial Intelligence enters the picture at thisstage. The Internet of Things is used to collect and manage the massive amounts of data that Artificial Intelligence algorithmsneed. As a consequence, these algorithms transform the data into useful actionable results that IoT devices canuse. Contd...

26. RECENT RESEARCHTOPICS Enhanced Medical Systems by using Artificial Intelligence and Internet ofThings Artificial Intelligence and Internet of Things in Instrumentation and Control in Waste Biodegradation Plants: RecentDevelopments AIoT-Artificial Intelligence ofThings

27. CONCLUSION In this blog discussed the recent enhancement for artificial intelligences and their subfield. This will help to thePhD scholarwho are interested to research in artificial intelligencesdomain.

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