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What is Undermind?

We carefully select the essential papers needed to tackle complex issues. Our main objective is to improve search quality, and we have created innovative algorithms that employ language models to mimic a human's careful and structured search approach, leading to unparalleled accuracy and thoroughness in scientific research. Undermind is adept at understanding highly complex search queries, enabling users to express their needs just as they would when conversing with a colleague. It identifies the specific papers that should be prioritized and provides clear rationales for each selection, effectively filtering out irrelevant findings. By tracking Undermind's exploration process, we can evaluate the total number of papers on your topic and verify when all pertinent works have been sourced. Additionally, our advanced search capabilities are designed to address intricate challenges, facilitating broader access for organizations with multiple researchers. This results in a more comprehensive and insightful analysis for each search performed. Furthermore, it automates an immense amount of time spent on literature reviews while ensuring exceptional accuracy and quality, making your research more efficient and thorough. Consequently, Undermind significantly enriches the overall research experience, empowering scholars to dedicate their energy to their primary work instead of becoming overwhelmed by exhaustive search efforts. In doing so, it transforms the way researchers approach their inquiries, fostering a more productive academic environment.

What is Connected Papers?

Connected Papers serves as a groundbreaking visual tool designed to assist researchers and applied scientists in exploring and understanding academic literature pertinent to their fields of interest. By inputting a "seed paper," users can generate a visual graph that displays associated papers, leveraging a similarity metric derived from co-citation and bibliographic coupling analysis. This approach allows users to identify important literature that may not have direct citations linking it to their initial work. The resulting graph provides an intuitive visual depiction of the research landscape, underscoring pivotal studies and indicating potential avenues for further exploration. Through its objective of streamlining the literature review process, Connected Papers aims to enhance efficiency and comprehensiveness for researchers, ultimately leading to a more profound comprehension of their disciplines. Additionally, this tool promotes a holistic perspective on research by uncovering unexpected connections between diverse studies, enriching the overall academic dialogue. By fostering these connections, Connected Papers not only aids in literature discovery but also inspires new ideas and collaborations among scholars.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

$3 per month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Undermind

Company Website

www.undermind.ai/

Company Facts

Organization Name

Connected Papers

Date Founded

2020

Company Location

United States

Company Website

www.connectedpapers.com

Categories and Features

Academic Research

Not specified

AI Tools

Not specified

Categories and Features

Academic Research

Not specified

AI Research Tools

Not specified

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