Discover reviews on "best ai tools for science" based on Reddit discussions and experiences.
Last updated: October 13, 2024 at 11:47 AM
Best AI Tools for Science
Elicit
- A good tool in the research category.
Fathom.video
- Integrates with Zoom to summarize meetings.
- Free to use.
SlidesAI.io
- Generates presentations in Google Slides based on entered text or topic.
ChatFai
- Can talk to real or fictional characters and create custom characters.
KardsAI
- Another tool recommended for science-related projects.
Genei
- Could be suitable for producing documents like strategy docs and plans based on regulations and guidance.
AI Scout
- A cool tool that is free and easy to use.
Excel Spreadsheets
- No specific tool mentioned in the comments.
Explainpaper
- A reading paper aid that can explain specific text selections.
ChatPDF
- Can save time in certain work scenarios by summarizing content efficiently.
R Discovery App for Literature Search and Paperpal
- Useful tools for academic writing and literature search.
YouTube Summary with ChatGPT
- Useful for transcribing Youtube videos and asking for summaries.
Whisper Jax
- Used for transcribing Youtube videos and asking for summaries.
AI Contents Solution
- Mentioned as a tool that could be added to the list for content-related tasks.
R Discovery App, Paperpal, YouTube Summary with ChatGPT, Whisper Jax, AI Contents Solution
- Recommendations for tasks related to content creation and summarization.
LAION
- A project working on creating open source AI models.
Neural Radiance Fields (NeRFs)
- Used to create detailed 3D models from 2D images with realistic lighting and details.
Meta Animated Drawings
- An open source model for creating animated drawings.
SAM
- A model that can be used in the browser.
Detailed Reports and Documents
- Provided to offer answers to specific queries related to building science.
General Notes
- Pros: Provide convenience and efficiency in various tasks.
- Cons: Some tools may face issues with accuracy and may not meet all user expectations.
- Concerns about potential job displacement and the need for continuous learning in a rapidly evolving AI landscape.