Practical AI AI-powered scientific exploration and discovery
Feb 10, 2020
Doug Raymond, General Manager of Semantic Scholar at the Allen Institute for AI, dives into the world of AI-powered scientific research. He discusses the transformative role of AI in academia, particularly through tools like Semantic Scholar, which helps researchers navigate the overwhelming volume of literature. The conversation covers innovative features like personalized recommendations driven by language models and the importance of knowledge graphs in enhancing access to relevant studies. Doug also highlights the ongoing challenges and future aspirations for scholarly collaboration.
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The 300-Year Challenge
- Reading all 3.5 million annual publications would take 300 years.
- Semantic Scholar uses AI to pre-read papers, saving scholars time.
AI Usage in Semantic Scholar
- Semantic Scholar uses AI for knowledge graph construction and discovery.
- The focus is on personalized recommendations and actionable explanations.
Addressing Citation Bias
- Citation count can create bias, favoring established researchers.
- Semantic Scholar addresses this by focusing on relevance, using SciBERT.