Undermind

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Undermind finds precise academic papers using AI to mimic researchers' discovery process and provides clear relevance explanations.

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What is Undermind?

Undermind is an AI-powered search tool designed to assist researchers in finding precise and relevant academic papers for their work. It functions differently from traditional search engines by mimicking a researcher's careful and systematic discovery process, examining results in stages and using language models to make key decisions for unprecedented accuracy and comprehensiveness. Undermind reads hundreds of papers, adapts intelligently during the search process, and provides clear explanations about why the identified papers are relevant. It aims to support researchers with tools that enhance their capabilities in the era of AI-powered scientific discovery.

Who created Undermind?

Undermind was created by two quantum physics PhDs from MIT, Josh Ramette (CEO) and Tom Hartke (CTO), with decades of experience in deep research. The company focuses on providing AI-powered search algorithms that mimic a researcher's careful and systematic discovery process, delivering accurate and comprehensive results for complex research needs.

How to use Undermind?

To use Undermind effectively, follow these steps:

Describe your research query to Undermind as if you were explaining it to a colleague.
Undermind will read hundreds of papers, adapting its search to find precise and relevant results.
Expect each search to take 2-3 minutes as the AI agent identifies the best papers through adaptive methods.
Undermind goes beyond traditional search engines by providing accurate and comprehensive results tailored to complex research needs.
Think of Undermind as a supportive tool in your intellectual pursuits, like the roots of a tree.
Consider that if you're seeking a very specific paper, it might not be present in the Semantic Scholar database, which Undermind draws from.
If your desired paper doesn't show up initially, it may indicate that the search is ongoing in stages to uncover all relevant papers.
Be patient and use additional resources if needed to extend the search for complete results.

Undermind is designed to enhance the research process by offering in-depth and valuable insights tailored to researchers' complex needs.

Pros

Trusted and Used by Researchers
An Intelligent Assistant
Incredibly complex topics
Accurate results
Comprehensive discovery
Brainstorm with a copilot
Next Generation AI-Powered Search Algorithms
Solve Real, Complex Problems
What Researchers Say
Essential go-to for research and teaching
Powerful tool for research
Support structure for intellectual pursuits
Built by researchers

Cons

Undermind may not have all specific papers as it relies on the Semantic Scholar database of over 200 million articles
Search results may not be comprehensive in the first pass as the search is performed in stages
Each search takes 2-3 minutes to complete which is slower compared to simple Google or PubMed searches
For now, Undermind only searches abstracts and metadata of scientific articles which limits the depth of search
May not justify value for money if speed is a crucial factor due to slower search times

Pros

Cons

Trusted and Used by Researchers
An Intelligent Assistant
Incredibly complex topics
Accurate results
Comprehensive discovery
Brainstorm with a copilot
Next Generation AI-Powered Search Algorithms
Solve Real, Complex Problems
What Researchers Say
Essential go-to for research and teaching
Powerful tool for research
Support structure for intellectual pursuits
Built by researchers

Undermind may not have all specific papers as it relies on the Semantic Scholar database of over 200 million articles
Search results may not be comprehensive in the first pass as the search is performed in stages
Each search takes 2-3 minutes to complete which is slower compared to simple Google or PubMed searches
For now, Undermind only searches abstracts and metadata of scientific articles which limits the depth of search
May not justify value for money if speed is a crucial factor due to slower search times

Undermind FAQs

How long does each search take to complete?: Each search takes 2-3 minutes to complete because the AI agent adapts and changes its search methods to uncover all relevant results.

What databases does Undermind search in its current state?: For now, Undermind searches the abstracts and metadata of scientific articles in the Semantic Scholar database.

How does Undermind improve the search quality compared to other search engines?: Undermind redesigns the search experience to achieve the best search quality possible by adapting like a human researcher and providing precisely relevant results.

Why might a very specific paper not be found in Undermind's database?: A specific paper may not be found in the Semantic Scholar database of over 200 million articles that Undermind draws from, or the search may not have converged yet, requiring additional computation to find the rest of the relevant papers.

How does Undermind approach the search process differently from traditional search engines?: Undermind performs searches in stages, carefully filtering through papers to find exactly what the user needs, akin to sending a talented colleague to search for you.

What analogy is used to describe Undermind's role in supporting researchers?: Undermind is likened to a support structure beneath a researcher's intellectual pursuits, comparable to the roots of a tree, aiming to augment researchers' capabilities in the age of AI-powered scientific discovery.