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RAx — RAx: An AI-powered literature review & survey tool
RAx is an A.I. powered RA (Research Assistant) that helps researchers to speed up literature survey/review, comprehesive reading, and deeper critical analysis.
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We launched Rygbee Analytics (beta) - Know who else is working on your problem and get quick novelty checking of your approach!
We recently launched Rygbee Team (beta) ... you can now seamlessly work together and share Rygbee suggestions/analytics with your advisor, research student, or collaborator
Rygbee Campus has gotten a new Avatar - RAx (https://raxter.io)
What's new?
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1. Project-specific literature survey and review templates
2. Resource discovery on literature and reviews.
3. Project-specific multiple draft organization (work-in-progress, notes, To-Do list, etc.)
Recently RAx 2.0 (https://raxter.io) has been launched with a whole new Team Suite, and a few cool AI features like Related Content that helps you to connect what you are reading now with what you have read automatically, without you having to remember anything!
Its a great tool for litrature review. Saves a lot of time and helps you focus on the research quality.
This is seems to be future of search engines - proactively lookout for what we might need.
Pros:- Resource curation in background which saves lot of time
- Doesn't miss recommending important papers
- also recommends MOOCs!
Cons:- Still to support collaborations.