Artificial Intelligence (AI) has taken up the world with a storm. It is the frequent topic of how advanced AI machine learning is capable of enacting the same or in better way than any human-centric approaches. There is a surge in real-life applications of AI, which are assisting in critical decision-making processes or smooth work-flow. Read this blog, to know all about artificial intelligence based research trends that is present in today’s scenario.
These applications involve diagnosis generation, forecasting future, controlling devices, high-performance artificial muscles and many more. Any developer, who has strong technical knowledge and interest in digital learning experience can generate some AI-based research ideas to contribute in the tech industry.
How AI could help in Research Ideas?
- AI Deep Machine learning: A subset known as deep learning uses algorithms for real-time data on large scale to generate appropriate information.
- Robotics: Systematic agents, known as robots, reduces manpower in heavy industries by perceiving the real-world environment with components like power supply, actuators, motors, sensors, and high-performance artificial muscles.
- NLP: Natural Language Processing helps the computers to understand the natural language of humans as the users will use their own language instead of complicated algorithms with two components— natural language understanding and natural language generation.
- Computer Vision: Helps to teach and make computers visualize, acquire and analyze instructions from digital pictures, symbols, and videos.
- Artificial Neural Networks: Imitates human neural networks i.e. specializes in the process of human brains where the nodes accept data and generate ideas.
- Speech Expert System: Imitates human behaviour with user interface, inference engine, and knowledgebase elements.
AI-bases Research Trends
Forecasting User’s Next Move
It is already in the AI-based machine learning system to recommend same types of products or services to the users from time to time. Forecasting user’s next move in terms of shopping behaviour or destination can be a useful AI-based research idea. This can be successful if the users accept to provide real-time data to the company.
One-button for Emergency Purpose
Almost all citizens use smart mobile phones for both personal and professional lives. Emergency can happen at any time, which leads to distraught and confusion in human minds. AI-based machine can create only one button in these smart phones to generate an automatic call to the emergency service provided by the Government. This will save time and quick response can manage the emergency situation peacefully.
Detecting Abuse
There is an increase in the numbers of sexual as well as domestic abuse in the world. Thousands of people have lost their jobs in the lockdown leading to the frustration on either family members or strangers. AI machine learning can detect any upcoming abuse from the known sites and alert the victim for protection. This real-life application of AI can save many women across the world.
Web Pattern Navigation for Styling
The current scenario has transformed the consumer shopping behaviour from traditional space to digital domain. The globalisation in the online sites has led to confusion for the traditional buyers with sizes— shoes, dresses, under-garments and so on. If there is a presence of web pattern navigation for users to look at how they are looking with their choices, it can reduce a lot of time in shopping. This will reduce the probability of ordering wrong choices for styling.
Identifying Fraud YouTube comments
YouTubers upload entertaining as well as educational videos for their subscribers and potential subscribers. Comments are very much important for generating ideas for the upcoming contents. AI-based machine can identify these fraud comments and block them for further comments in any YouTuber’s channel. The real-life application of AI can reduce the number of frauds and scams from YouTube just like it serves the banking sector.
There is a huge opportunity for the future software developers and mechanical engineers to get hired in hi-tech companies to proceed with these types of unique AI-based research ideas. Popular hi-tech brands and start-ups are seeking employees who possess strong technical knowledge and digital learning experience to distinguish their brands against the competitors in the high-risk market.
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