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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Information Overload in Science
- AI-related publications are increasing, creating information overload.
- This necessitates tools like Semantic Scholar to navigate the vast literature.
Motivation for Joining AI2
- Doug Raymond joined the Allen Institute for AI due to its mission of "AI for the common good."
- He wanted to contribute positively to information access for better decision-making.
Semantic Scholar's Unique Position
- Semantic Scholar is uniquely positioned due to its mission and lack of profit motive.
- This allows it to focus on solving the scientific information overload problem.