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Academic research

Undermind ✓

AI research assistant reads papers for you.

Source rating 5.0 (3) 2k views 59 saves Freemium
Academic Papers Academic Research Critical Information Identification
More categories (4)
Information Extraction Systematic Search Knowledge Discovery Academic research
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Free + from $32/mo

Verdict

A quick read before you dig into the full page.

Best if
AI research assistant reads papers for you
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Complex search can confuse
Pick this when
Scientifically-grounded application

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Overview

Undermind constitutes a scientifically-grounded application that uses state-of-the-art AI technology to perform academic research on behalf of its user.

It is devised to meticulously examine a myriad of academic papers, distilling from them the exact information requested, regardless of the inherent complexity.

Undermind surpasses traditional search engines by reconceptualizing search processes to imitate the careful, systematic human discovery process. This process prompts Undermind to scrutinize results in stages, utilizing language models for critical tasks such as the acknowledgment of essential information and adjusting the search strategy.

Undermind has been employed effectively to find pinpoint solutions for various complex problems in different fields such as Quantum Computing, Artificial Intelligence, Information Science and more.

Regardless of the topic, users can precisely describe what they need to Undermind as they would discuss with a colleague. The service prides itself on intelligent adaption.

It does not merely regurgitate search results as most engines do, but it adapts, based on what it learns from reading hundreds of papers. It is additionally programmed to recognize when it has found all relevant information.

Future plans involve incorporating full text discovery for even more complex discovery goals. Notably, Undermind sources its data from the Semantic Scholar database which includes over 200 million articles from diverse databases.

Undermind website

Access & connections

Where you can use Undermind.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Text

Output

  • Text

Pros & cons

Pros

  • Scientifically-grounded application
  • Performs academic research
  • Examines myriad of academic papers
  • Reconceptualizes search processes
  • Utilizes language models
  • Adjusts search strategy
  • Effective in various fields
  • Intelligent adaption
Show 12 more
  • Recognizes relevant information
  • Future full text discovery
  • Sources from Semantic Scholar
  • Trusted by renowned institutions
  • Accurate results
  • Comprehensive discovery
  • Brainstorm with a copilot
  • Solves real, complex problems
  • Adaptive search methods
  • Searches abstracts and metadata
  • Redesigned search experience
  • Sourced by two PhDs

Cons

  • Limited to Semantic Scholar database
  • No full text search
  • Searches take 2-3 minutes
  • Might miss specific papers
  • Search process in stages
  • Potential information overload
  • No multi-language support
  • No collaborative research feature
Show 2 more
  • Unclear update schedule
  • Complex search can confuse

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Releases 1

Initial release April 3, 2024 Current
Initial release of Undermind.

FAQ 12

What is Undermind?
Undermind is a scientifically-grounded application that employs advanced AI technology to conduct academic research on behalf of its users. It meticulously examines a myriad of academic papers, extracting exact information as dictated by its users, imitating the careful, systematic human discovery process. Users can articulate their needs to Undermind as though conversing with a colleague.
How is Undermind different from traditional search engines?
Unlike traditional search engines, Undermind has revolutionized search processes to imitate a human's systematic approach, and not only regurgitates search results. It adapts its search strategy based on what it learns from reading hundreds of papers. Furthermore, it doesn't stop searching until it has found all relevant information.
How does Undermind adapt its search strategy?
Undermind utilizes language models in its search strategy. By reading hundreds of papers on a subject, it learns and adapts its search engine progressively. This adaptive approach helps it to identify and focus on papers, or sections of papers, that are most likely to contain the information it is looking for.
How can Undermind help with academic research?
Undermind can help with academic research by meticulously examining a multitude of academic papers and extracting the exact information a user needs. It can effectively find specific solutions for complex problems in a variety of different fields, with users precisely outlining what they require.
What fields can Undermind be used in?
Undermind is versatile and can be used in various fields. Some examples include Quantum Computing, Artificial Intelligence, Information Science and more. The user can articulate their specific need to Undermind, which then proceeds to scan academic papers related to the topic and deliver the information required.
How does Undermind decide when it has found all relevant information?
Undermind uses advanced AI algorithms to decide when it has found all relevant information. It employs intelligent adaptation, which allows it to learn from each document it reads and to adjust its strategies accordingly. Once it no longer finds new or relevant information in the documents it scans, it understands that it has found all the relevant information.
Does Undermind search full texts or just abstracts?
At present, Undermind primarily searches the abstracts and metadata of scientific articles in the Semantic Scholar database. Although, plans to incorporate full text discovery are in the works to cater to more complex discovery objectives.
What is the source of Undermind's data?
Undermind sources its data from the Semantic Scholar database, which consists of over 200 million articles from a variety of databases.
How does Undermind recognize essential information?
Undermind makes use of language models to recognize essential information. These models enable it to decipher relevant details from an array of academic papers and adjust its search strategy accordingly. This allows Undermind to adapt and provide accurate, focused search results.
How does Undermind work with complex topics?
Undermind is designed to work with complexity. Users can describe exactly what they want in detail, and Undermind adapts its search to meet these specific requirements. It examines and learns from hundreds of papers, identifying relevant pieces of information, no matter how intricate the topic is.
Why does a search on Undermind take 2-3 minutes?
A search on Undermind takes 2-3 minutes because the AI model it utilises does not just deliver search results instantaneously but adapts and modifies its search methods for the best result. This allows for a more comprehensive and accurate search but also makes the search process slower than typical search engines.
Can Undermind be used for solving complex problems in Quantum Computing or AI?
Indeed, Undermind is an effective tool for solving complex problems in areas like Quantum Computing and AI. It's been used successfully in these fields before. By reading and learning from hundreds of papers, Undermind can find specific solutions to complex problems
Undermind Free + from $32/mo
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