I really enjoy the diversity of papers available, covering various AI subfields that I am interested in.
The mobile version of the site isn't very user-friendly, which makes it difficult to read papers on the go.
AI-RnD helps me stay informed about the latest developments in AI, which is crucial for my job as a data scientist.
The discussions on AI-RnD are very informative and often lead to new ideas I hadn't considered before.
I think they could improve the recommendation algorithm; sometimes it suggests papers that are not relevant to my interests.
AI-RnD helps me connect with other researchers, which has been beneficial for networking and finding collaborators.
The community aspect of AI-RnD is fantastic! Engaging with other researchers has provided me with valuable insights and feedback on my work.
Sometimes, the paper upload process can be slow, leading to frustration when I want to share my research quickly.
AI-RnD allows me to find collaborative opportunities with fellow researchers, which has significantly enhanced my project outcomes.
I appreciate the vast repository of AI research papers that AI-RnD offers. It's great to have so much information in one place, especially as a graduate student.
The interface can be a bit clunky at times, and I often find it hard to navigate through the discussions. It could use some user experience improvements.
AI-RnD helps me stay updated with the latest research trends in AI, which is crucial for my thesis work. However, I find that the paper recommendations aren't always aligned with my interests.
I like the idea of having a centralized platform for AI research papers, but execution has been lacking.
The search functionality is not very effective; I often struggle to find relevant papers because of poor filtering options.
AI-RnD could potentially help me track the literature in my research area, but I find it too cumbersome to use effectively.