AI-powered scientific exploration and discovery

What this episode covers

Daniel and Chris explore Semantic Scholar with Doug Raymond of the Allen Institute for Artificial Intelligence. Semantic Scholar is an AI-backed search engine that uses machine learning, natural language processing, and machine vision to surface relevant information from scientific papers.Featuring:Douglas Raymond – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Semantic ScholarAllen Institute for Artificial IntelligenceELMoSciBERT: A Pretrained Language Model for Scientific TextSemantic Scholar APIUpcoming Events: Register for upcoming webinars here!

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How long is this episode of Changelog Master Feed?

This episode is 42 minutes long.

When was this Changelog Master Feed episode published?

This episode was published on February 10, 2020.

What is this episode about?

Daniel and Chris explore Semantic Scholar with Doug Raymond of the Allen Institute for Artificial Intelligence. Semantic Scholar is an AI-backed search engine that uses machine learning, natural language processing, and machine vision to surface...

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Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

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