Question: I'm looking for an AI-powered research tool that can help me find related articles and sources quickly, do you know of any?

If you're looking for an AI-powered research tool to help you find related articles and sources, Semantic Scholar is a good choice. The free service indexes more than 219 million scientific papers across all fields, with a powerful interface for filtering by journal, author and date range. It also generates AI-written summaries, suggests related papers and lets you organize and share your research, making it a good all-purpose tool for scholars and researchers.

Another good option is Elicit, an AI research assistant that can find, summarize and extract data from more than 125 million academic papers. It's geared for empirical subjects like biomedicine and machine learning, with features like automated systematic reviews and meta-analyses, and you can upload your own papers for analysis, too. It comes in Basic, Plus and Enterprise versions for different levels of research.

Epsilon is another good option. It's got a powerful search engine that quickly finds relevant citations and distills information from a database of more than 200 million academic papers. With tools like Investigate for summarized answers and Synthesize for deeper summaries, Epsilon lets researchers assess claims and find authoritative sources. It offers a variety of pricing plans, including a free option.

If you need something more general purpose, OpenRead indexes more than 300 million papers and indexes them in real time from more than 20,000 journals. Its tool suite includes Paper Espresso for summaries, Paper Q&A for questions about papers, and a Related Paper Graph to show connections among papers. It offers a variety of pricing plans, so you should be able to find something that works for your research.