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AI Tool By Epsilon

Summary and Pricing

Scientific Research At Your Fingertips. Epsilon uses AI to answer research questions with academic literature.

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#Research #Research #Academic
Starting at $9 /month Other prices: Student $9 per month or $49 per year (65% savings) • Professional $19 per month or $129 per year (45% savings)

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Epsilon is an AI-driven tool designed to streamline scientific research by harnessing the power of artificial intelligence. It offers an expansive database, drawing from a repository of over 200 million academic papers, including sources like PubMed, arXiv, and Papers With Code, curated by Semantic Scholar. 

The tool enables users to pose research inquiries and promptly receive comprehensive responses sourced from this vast academic literature. Through its AI capabilities, Epsilon swiftly parses and condenses relevant texts, sparing users the laborious task of sifting through numerous papers. This functionality facilitates quick literature reviews, providing succinct insights without the need for extensive reading.

Moreover, Epsilon empowers researchers to refine their queries by exploring diverse angles and accessing suggested follow-up questions. Users can navigate citations, references, and even fine-tune answers by selecting preferred papers. The platform facilitates the creation of personalized libraries, allowing users to save, analyze, and organize key papers pertinent to their work. Additionally, it supports queries and topic analyses across these libraries, enabling the extraction of valuable insights and summarization of findings.

Epsilon's AI prowess operates by leveraging GPT-4 to generate summaries based on the top 100 related papers for each search query. It utilizes citations from academic literature, ensuring factual and trustworthy outputs for research endeavors. In terms of privacy, while Epsilon shares search queries with third-party infrastructure providers like OpenAI, it ensures data anonymity. Neither search queries nor user-uploaded papers can be individually traced back to users, preserving their privacy and confidentiality.

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