Recently, I am facing a dilemma regarding how to find good ideas for my own AI algorithm research.
When I first entered this field, my main challenge was understanding the literature, both its theories and code. Now I can understand those works and I am amazed by some outstanding research. However, when I try to come up with my own solutions, especially when it involves mathematical theories, I seem to struggle. I can only follow their solutions and make some changes.
Does this mean that I am not suitable for research? If not, do you have any suggestions for dealing with this kind of confusion. How to improve my research level.
To generate new ideas in AI research, it is essential to have a strong understanding of fundamental concepts and theories in AI, mathematics, and related fields. Regular literature reviews and collaboration with colleagues can provide fresh perspectives and ideas. Identifying real-world problems or gaps in current research can lead to novel ideas. Learning from previous work is acceptable, as it allows for building on existing solutions and considering how to improve or extend them. Experimentation and prototyping can lead to new insights and innovative solutions that may not have been apparent from theory alone.
Experimenting and prototyping can lead to new insights and innovative solutions that may not have been apparent from theory alone. Cross-disciplinary approaches can also lead to unique insights. Participating in conferences and workshops related to your field provides excellent opportunities to interact with experts and network with other researchers. Teaching and explaining complex concepts can help solidify understanding and spark new ideas.
Persistence and patience are crucial for generating innovative ideas. Don't get discouraged by temporary setbacks; keep trying and improving over time. Seeking guidance from experienced researchers or mentors can offer valuable advice and help navigate the challenges of research.
Ethical considerations should be considered when addressing ethical concerns in your research. Addressing ethical concerns can lead to new research directions and innovative solutions. Remember that research is an iterative process, and it's okay to build on existing work. Keep an open mind, stay curious, and continue working on your research skills to develop the ability to generate more innovative and original ideas.
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Right now what would be interesting topics to read (from my perspective) would be:
3d pose estimations or object generation
Mathematical functions simplification
Scams detection using AI (this should be posible in Ethereum and other public chains)
Health care topics are always good also. Example can be human health problems identification from eyes... some media states that iris or eyes in general can tell a lot about person's health.
Sure you can think many other topics which can be interesting and original to read but I would say "Work on what is interesting to you and you might create something good and original"
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