Artificial intelligence is a fast-moving field. Choosing the perfect AI research project means You’ll be on the very edge of innovation when choosing an AI research project for your Extended Project Qualification (EPQ) or research paper. With so many AI topics to choose from, it’s important that you find the one that ignites your interest. Here at Immerse Education, we’ve put together 100 ideas for research projects in artificial intelligence.

What Makes a Great Research Topic in Artificial Intelligence?

When choosing an AI research project for your EPQ, there are a few factors to bear in mind. Consider the following points to guide your decision:

  • Consider your interests: Choose an AI research topic that interests you. 
  • Real-world concerns: What are the ethical and societal concerns surrounding AI? 
  • Current trends: What current trends in AI are relevant? 
  • Realistic project: Given the time and resources you have available when researching your EPQ project, is your AI research topic reasonable and realistic?

100 Ideas for Artificial Intelligence Research Projects

Research Project Ideas about Machine Learning and Deep Learning Techniques

#1: How AI models are used for deep learning applications
#2: Can you transfer learning in neural networks across a low-data environment?
#3: How robust AI systems are designed to manage noisy data
#4: Bridging the gap between unsupervised and supervised learning
#5: Can a semi-supervised learning framework enhance medical image classification?
#6: How are pre-trained models used to create meta-learning samples?
#7: How can quantum machine learning explore current and future limitations?
#8: How efficient are algorithms for neural network pruning?
#9: Can you design energy-efficient AI models for edge devices?
#10: Can Bayesian optimisation surpass grid search?
#11: Comparing the performance of deep learning optimisers
#12: Are adversarial attacks used to generate adversarial examples?
#13: The role of regularisation in preventing neural network overfitting
#14: Can you use multimodal learning to combine data?
#15: How neural architecture can be used to search for automated deep learning models
#16: Using optimisation techniques to train deep neural networks
#17: Overfitting and underfitting in deep learning models
#18: Using Generative Adversarial Networks (GANs) to generate synthetic data
#19: What methods can be introduced to deal with sparse rewards in reinforcement learning?
#20: How can small dataset applications be used in transfer learning?
#21: How will AI develop across the next decade?

Research Projects about Natural Language Processing (NLP)

#22: Ethical concerns surrounding AI-driven language models
#23: Improving low-resource language accuracy
#24: Can AI be used to detect fake news?
#25: How can you use deep learning to enhance text summarisation?
#26: Can you improve chatbot capabilities to enhance conversational AI?
#27: Improving question-answering systems when using NLP techniques
#28: Can emotion recognition be developed within deep learning?
#29: How can you build a robust multilingual language model in AI?
#30: Can zero-shot learning in NLP develop as a learning technique?
#31: Developing clustering and topic modelling when nursing NLP techniques
#32: The challenges and solutions for social media data sentiment detection
#33: Developing multilingual sentiment analysis techniques
#34: Improving language models for domain-specific applications
#35: Can you use Named Entity Recognition (NER) across textual datasets?
#36: The role of NLP in the analysis of legal documents
#37: Can you enhance machine translation for languages?
#38: Optimising performance when using real-time NLP applications
#39: The impact of transformer models on the understanding of natural language

Research Projects about Computer Vision and Image Processing

#40: Can Generative Adversarial Networks (GANs) be used for image enhancement?
#41: Using deep learning for facial recognition and detection
#42: Ethical implications of using deep learning for facial recognition
#43: Ethical considerations for using AI to analyse medical images and diagnostics
#44: Can deep learning techniques impact image super-resolution?
#45: Can deep learning recognise emotions from images?
#46: Can 3D object recognition be used with Convolutional Neural Networks (CNNs)?
#47: What AI techniques are used for event detection and video summarisation?
#48: Can sports and healthcare benefit from real-time pose estimation?
#49: The impact of AI systems developed for augmented reality applications
#50: How can you use AI to monitor the environment using satellite imagery?
#51: What are attack and defence adversarial examples in computer vision?
#52: How can AI anomaly detection be improved in medicine?
#53: How can you use low-light image enhancement when using deep learning?
#54: What techniques and applications can be used for image segmentation?
#55: Can AI be used for tracking and detecting objects in real-time?

Students exploring AI in a robotics lab
Latin American teacher explaining something to a couple of college students in a robotics class using a laptop computer – STEM education concepts

Research Project Ideas about Ethics, Privacy, and Governance in Artificial Intelligence

#56: What are the problems and solutions present when using object detection in crowds?
#57: Can you balance freedom and security when using AI in surveillance?
#58: Integrating computer vision and NLP to enhance visual question answering
#59: Can you combine computer vision and AI to develop smart surveillance systems?
#60: How can you analyse algorithm bias when using AI?
#61: What is the role of ethics in AI decision-making systems?
#62: Does AI infringe privacy and data security?
#63: Can AI become more responsible through further governance and regulation?
#64: What is the impact of AI automation on society?
#65: Ethical implications of using autonomous weapons in war
#66: How can you mitigate the accidental consequences of AI in relation to the law?
#67: Ethical considerations of using AI in healthcare
#68: What are privacy-preserving techniques in AI?
#69: Can AI detect manipulated videos and images?

Research Project Ideas about Artificial Intelligence in Healthcare and Medical Applications

#70: Analysing Electronic Health Records (EHRs) when using machine learning techniques
#71: Can you use AI diagnostic tools to improve early disease detection?
#72: How are AI applications used in genomics?
#73: Can you use reinforcement learning to create chronic disease treatment plans?
#74: How can you build AI models to create predictive modelling for hospital resource managers?
#75: How can you use AI medical image segmentation to detect early diagnosis?
#76: Ethical challenges in using AI for healthcare systems
#77: Can AI power prosthetics to enhance interactions?
#78: Ethical and legal considerations for using AI-powered prosthetics
#79: Can AI improve patient outcomes?

Research Projects about Robotics and Autonomous Systems

#80: How can you use deep learning techniques for autonomous vehicles decision making?
#81: Legal and ethical implications of using AI autonomous vehicles
#82: Efficiency and safety concerns for humans and robots in collaborative working environments
#83: Benefits and limitations of using AI for real-time motion planning
#84: The role of Robotic Process Automation (RPA) in industrial automation
#85: How can you use reinforcement learning for robotic control?
#86: How can you use multi-agent robotic systems for swarm intelligence?
#87: Can you use AI for Autonomous Underwater Vehicles (AUVs)?
#88: Ethical challenges and benefits of using AI robots in the military
#89: Can AI drone navigation enhance search and rescue operations?

Research Projects about Artificial Intelligence in Business and Industry Applications

#90: Benefits of using e-commerce platform personalised recommendation systems
#91: How can AI customer service improve the experience of the user?
#92: Benefits and limitations of using AI chatbots and virtual assistants in customer service
#93: Benefits and limitations of using AI in fraud detection
#94: Can you use AI for industrial equipment predictive maintenance?
#95: Can you use AI to enhance marketing campaigns and optimise ad targeting?
#96: How is Natural Language Processing (NLP) used to analyse customer reviews?
#97: Can AI enhance retail inventory management?
#98: Can you use automated document processing with machine learning?
#99: How can you leverage AI for real-time business decision making?
#100: Can you use AI for retail forecasting and supply chain management?

Artificial Intelligence

In-person

Delve into AI’s frontiers in Cambridge, a hub...

Academic Insights
Provides a thorough introduction to diverse academic fields. Ideal for students beginning to contemplate their future academic paths and eager to explore various disciplines.
Artificial Intelligence
Ages: 16-18

Artificial Intelligence

In-person

Explore AI frontiers in Oxford, where cutting-edge research...

Academic Insights
Provides a thorough introduction to diverse academic fields. Ideal for students beginning to contemplate their future academic paths and eager to explore various disciplines.
Ages: 16-18

Which Artificial Intelligence Research Idea Should You Choose?

Our research ideas are merely the tip of the iceberg! There are so many artificial intelligence topics that you can choose from. Either opt for one of our 100 ideas for research projects or choose your own.

You’ll spend around six months researching the EPQ topic and writing the essay so choose an interesting idea that you will enjoy studying. 

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