AI research is a rapidly evolving field, and there are many new AI research tools and resources emerging all the time. Here are some of the most popular AI research tools, categorized by their function:

Literature search and discovery AI Research Tools :

Google Scholar:Allows users to stay updated on the latest research papers, scholarly literature, articles, conference papers, and theses. Simple and user-friendly interface.

• Scite: Scite uses AI to help you find relevant research papers and analyze their citations. It can identify influential papers, potential errors or bias, and emerging trends in your field.
• Research Rabbit: Research Rabbit is a tool that helps you organize and manage your research papers. It allows you to create collections of papers, add notes and tags, and share your research with others.
• Trinka: Commonly used for grammar and language correction in academic and technical writing. Offers 3000+ grammar checks, tone enhancements, and style improvements.
• Litmaps: Litmaps creates visual maps of research literature, showing how different papers are connected to each other. This can help you to see the relationships between different research areas and identify new research questions.
• Elicit: Enables qualitative research, helping researchers analyze textual data and deduce summaries. Supports effective data interpretation through visualizations.
• Scholarcy: Automates reading, summarizing, and extracting information from academic articles. Facilitates citation extraction and literature review process.
• Knewton: Utilizes AI and machine learning to deliver personalized educational content. Analyses student performance data for tailored learning experiences.
• IBM Watson: Features Watson Discovery and Watson Natural Language Understanding for data extraction, sentiment analysis, and language processing. Aids in discovering insights from unstructured data
• Tableau:
  • Powerful data analysis tool with a user-friendly interface.
  • Supports a range of visualizations, from basic charts to advanced maps.
• Semantic Scholar:
  • An AI academic search engine focusing on relevant research papers.
  • Utilizes natural language processing and machine learning for content analysis.
• Consensus:
  • Ensures genuine scientific findings by sourcing information only from published sources.
  • Thorough scanning through peer-reviewed research for reliability.
• Mendeley:
  • User-friendly tool for organizing, sharing, and citing research papers.
  • Facilitates collaboration, discovery of relevant articles, and management streamlining.
• Zotero:
  • AI-powered management tool for collecting, organizing, annotating, citing, and sharing research documents.
  • Offers 10,000 citation styles for formatting.

Data analysis and visualization AI Research Tools:

• TensorFlow: TensorFlow is a popular open-source library for numerical computation and large-scale machine learning. It is used by many researchers to build and train AI models.
• PyTorch: PyTorch is another popular open-source library for machine learning. It is known for its flexibility and ease of use.
• Jupyter Notebook: Jupyter Notebook is an interactive web application that allows you to run code, create visualizations, and write notes all in one place. It is a popular tool for data analysis and exploration.

Writing and communication :

• Grammarly: Grammarly is a grammar and plagiarism checker that can help you to improve the quality of your writing. It is a useful tool for anyone who writes research papers or other academic documents.
• QuillBot: QuillBot is a paraphrasing tool that can help you to rephrase your writing in different ways. This can be useful for avoiding plagiarism or for finding new ways to express your ideas.
• SciWrite: SciWrite is a writing assistant that is specifically designed for scientific writing. It can help you to improve the clarity, conciseness, and accuracy of your writing.

These are just a few of the many AI research tools that are available. The best tool for you will depend on your specific needs and research area. I encourage you to explore different tools and find the ones that work best for you.

In addition to the tools listed above, there are also many other resources available to AI researchers, such as:

• arXiv: arXiv is an online repository for scientific papers in physics, mathematics, computer science, quantitative biology, finance, and statistics.
• Pubmed: PubMed is a database of biomedical literature.
• Semantic Scholar: Semantic Scholar is a search engine for academic papers that uses AI to understand the meaning of the papers.

I hope this gives you a good overview of some of the AI tools that are available for research purpose.