About this episode
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, X
- Chris Benson – Website, GitHub, LinkedIn, X
- Daniel Whitenack – Website, GitHub, X
Show Notes:
- Semantic Scholar
- Allen Institute for Artificial Intelligence
- ELMo
- SciBERT: A Pretrained Language Model for Scientific Text
- Semantic Scholar API
Upcoming Events:
- Register for upcoming webinars here!
Get every episode summarized
Each time Practical AI publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Practical AI
Less about Models; More about Architecture
Practical AI
Sep 3, 202645:56completed
Building the Foundation for the Agentic AI Era
Practical AI
Aug 28, 202645:12pending
AI Proficiency: From Users to Builders
Practical AI
Aug 25, 202656:13pending
Models, Harnesses, and Multi-Agent Systems
Practical AI
Aug 6, 202649:58pending