Introduction
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 recent years. 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 going on. So much so that the number of annual Published Research Papers on Artificial Intelligence has increased by 90% since 1996.
Keeping this in mind, there are several sub-topics on which you can concentrate if you want to study and write a thesis on Artificial Intelligence. This article covers a few of these subjects and provides a short overview. Here some of the recent Research Topics,
- Artificial Intelligence and Machine learning – Recent Trands
- How AI and ML can aid healthcare systems in their response to COVID-19
- Machine learning and artificial intelligence in haematology
- Tackling the risk of stranded electricity assets with machine learning and artificial intelligence
Deep Learning
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 make decisions.Deep Learning is a form of machine learning that employs 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 our brain!).
Recent research topics
- Artificial intelligence & deep learning : PET and SPECT imaging
- Hierarchical Deep Learning Neural Network (HiDeNN): A computational science and engineering in AI architecture.
- AI for surgical safety: automatic assessment of the critical view of safety in laparoscopic cholecystectomy using Deep Learning
- Deep learning-enabled medical computer vision
Reinforcement Learning
Reinforcing Learning is an aspect of Artificial Intelligence in which a computer learns something in the same way as humans do. Assume the computer is a student, for example. Over time, the hypothetical student learns from its errors. As a outcome of trial and error, Reinforcement Machine Learning Algorithms learn optimal behaviour.
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 the future. This also works for robots, just as it does for humans!
Google’s AlphaGo Computer Programme, for example, used Reinforcement Learning to defeat the world champion in the game of Go (a human!) in 2017.
Recent research topics
- Experimental quantum speed-up in reinforcement learning agents
- Potential-based multiobjective reinforcement learning approaches to low-impact agents for AI safety
Robotics
Robotics is an area concerned with the creation of humanoid robots that can assist humans and perform several acts. In certain cases, robots can behave like humans, but can they think like humans as well?
Kismet, a social interaction robot developed at M.I.T.’s Artificial Intelligence Lab, is an example of this. It understands human body language as well as our voice and responds to them appropriately. 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 digital society
- Regional anaesthesia :usages of artificial intelligence and robotics in
- Third Millennium Life Saving Smart Cyberspace Driven by AI and Robotics
Recent research topics
- Natural Language Processing–Based Virtual Cofacilitator for Online Cancer Support Groups: Protocol for an Algorithm Development and Validation Study
- Sympathetic the temporal evolution of COVID-19 Research Through machine learning and natural language processing
Recent research topics
- Deep learning-enabled medical computer vision
- Artificial intelligence for surgical safety: automatic assessment of the critical view of safety in laparoscopic cholecystectomy using deep learning
- An Open‐Source Computer Vision Tool for Automated Vocal Fold Tracking From Video endoscopy
Recent research topics
- Artificial intelligence in recommender systems
- Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems.
- Recommender systems for configuration knowledge engineering
Internet Of Things
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 human interaction. The Internet of Things, on the other hand, is a network of different devices linked to the internet and capable of collecting and exchanging data.
Recent research topics
- Enhanced Medical Systems by using Artificial Intelligence and Internet of Things
- Artificial Intelligence and Internet of Things in Instrumentation and Control in Waste Biodegradation Plants: Recent Developments
- AIoT-Artificial Intelligence of Things
Conclusion
In this blog discussed the recent enhancement for artificial intelligences and their sub field. This will help to the PhD scholar who are interested to research in artificial intelligences domain.
