Have You Used AI Tools for Your Research? Which Ones Are Your Favorite and Why?

Over a decade ago, I wrote two articles: "A B*ginner’s Guide to Computer Science Research" and "How to Start a Research Work in Computer Science". These articles were widely used in universities worldwide to help students and early-career researchers navigate academic research in Computer Science (CS).

Fast forward to 2025, the research landscape has evolved significantly, especially in AI and CS, with the advent of AI-powered research tools, open-access repositories, and real-time collaboration platforms. These tools have made research more accessible, enabling students and professionals to work more efficiently while focusing on real innovation.

I recently published an updated article in The Times of India, presenting an Eight-Step Approach to Research framework designed for modern AI and CS research. This framework integrates AI-powered literature review tools, reference management systems, open science platforms, and collaborative research methods to enhance the research workflow.

🚀 Would love to hear from the ML research community:

1️⃣ Have you used any AI-powered tools or automation techniques in your research? Which ones do you find most useful?
2️⃣ Do you have recommendations for other AI tools that weren’t covered in the article but could benefit researchers?
3️⃣ How do you think AI will shape the future of academic research and discovery?

📖 Read the article here: How to Start Research in Computer Science & AI in 2025 – An Updated Framework

Block Diagram of “Eight-Step Approach to Research” in 2025

Let’s discuss! What are your go-to tools for making research more efficient in 2025?