Project Ideas Based on Artificial Intelligence

Project Ideas Based on Artificial Intelligence can vary due to the quick emergence of its area. It is advisable to consult our experts, as we offer comprehensive guidance on all project topics related to Artificial Intelligence. Please reach out to ns2project.com, where we discuss unique research perspectives tailored to your areas of interest.  On the basis of AI domain, we list out numerous research topics which are both latest and compelling:

  1. Robust and Adversarial Machine Learning:
  • In opposition to adversarial assaults, the model strength has to be assured.
  • For general adversarial methods, we plan to create security mechanisms.
  1. Federated Learning:
  • By maintaining data localized, the machine learning frameworks have to be trained on decentralized data sources.
  • For federated systems, consider effective methods and algorithms.
  1. Capsule Networks:
  • Among characteristics, this approach concentrates on maintaining spatial hierarchies. It is considered as a replacement for convolutional neural networks (CNNs).
  • In computer vision and others, it has possible applications.
  1. Neurosymbolic AI:
  • To take advantage of rule-based as well as data-driven techniques, deep learning must be integrated with symbolic reasoning.
  1. Energy-efficient AI:
  • Specifically for minimal energy usage, we aim to create appropriate frameworks and hardware.
  • For model pruning, distillation, and quantization, effective methods have to be examined.
  1. AI for Drug Discovery and Healthcare:
  • Protein folding has to be forecasted (following DeepMind’s AlphaFold).
  • By means of AI frameworks, facilitate customized medicine.
  1. Quantum Machine Learning:
  • With the machine learning approach, the quantum computing theories should be combined.
  • For enhancement, focus on quantum algorithms and quantum neural networks.
  1. Knowledge Graphs in AI:
  • With deep learning frameworks, we intend to incorporate structured knowledge sources.
  • Through knowledge graphs, the model reasoning abilities have to be improved.
  1. Continual Learning:
  • To learn missions in a consecutive manner while remembering the already learned missions, the AI models must be trained efficiently.
  • The “catastrophic forgetting” issue has to be solved.
  1. Multimodal and Cross-modal Learning:
  • For the purpose of decision-making, important details should be combined from several modalities (for instance: audio and vision).
  • Among various modalities, consider knowledge sharing.

In order to obtain the knowledge of contemporary research areas, considering the latest AI conferences such as ACL, CVPR, ICLR, ICML, NeurIPS, and others is the ideal thought.

Related to the domain of AI, we suggested several latest research topics, along with brief explanations that could be more useful to carry out explorations effectively.

Thesis Ideas in Artificial Intelligence

Thesis Ideas in Artificial Intelligence which matches to your areas of interest are listed below.  We ensure that all your work is completed under one roof, providing timely delivery and guaranteeing 100% originality.

  1. 7.8 A 22nm Delta-Sigma Computing-In-Memory (Δ∑CIM) SRAM Macro with Near-Zero-Mean Outputs and LSB-First ADCs Achieving 21.38TOPS/W for 8b-MAC Edge AI Processing
  2. Demonstration of A 3D Chip by Logic-DRAM Stacked Using Paired TSV Interconnection through Interface for AI/Edge-Computing Application
  3. Research on Optoelectronic Accelerator based on AI Computing
  4. Adopting Software Engineering Trends in AI
  5. An AI based Formulated Feedback-System for Interpreting Conclusive Emotions for A Group of People
  6. The Evaluation of a Blended Teaching Mode Based on an AI Language Learning Platform
  7. Connecting AI Technologies as Online Services to a Humanoid Service Robot
  8. On the influence of AI technology on accounting industry and its Countermeasures
  9. Generalized Filtering with Transport Planning for Joint Modulation Conversion and Classification in AI-enabled Radios
  10. AI Based 5G RAN Planning
  11. TEXAS: a testing methodology guided by AI techniques
  12. Towards Fluid Software Architectures: Bidirectional Human-AI Interaction
  13. An Agent-based Architecture for AI-Enhanced Automated Testing for XR Systems, a Short Paper
  14. The EMPAIA Platform: Vendor-neutral integration of AI applications into digital pathology infrastructures
  15. Effect of AI Recommendation System on the Consumer Preference Structure in e-Commerce: Based on Two types of Preference
  16. Research on Users’ Trust of Chatbots Driven by AI: An Empirical Analysis Based on System Factors and User Characteristics
  17. Research on the Construction System of Computer Big Data in the Community Integrated Garbage Classification AI Image Recognition Platform
  18. AI-Based Enhancement of Test Models in an Industrial Model-Based Testing Tool
  19. AI-based Power Control of an All-Electric Aircraft
  20. Virtualized Infrastructure as an Incentive on AI-Data Commons