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Teach Global Impact in CSP | Resources and Strategies

Lesson plans, classroom materials, and teaching strategies on the Global Impact of Computing. Portal to our collection of creative, engaging resources to support teachers of AP Computer Science Principles, and others who want to bring social impact into high school CS classrooms.

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New AI-Based Search Engines Are a “Game Changer” for Science Research

Home › Forums › Computing in the News › New AI-Based Search Engines Are a “Game Changer” for Science Research

Tagged: 4 Algorithms, 7.1.1 Interaction and cognition, 7.1.1E Access to info, 7.2.1 Impact in other fields, 7.2.1C Sharing info, 7.5.1A Finding sources, 7.5.1B How to search

  • This topic has 0 replies, 1 voice, and was last updated 4 years, 2 months ago by John Daniell.
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    • November 14, 2016 at 4:00 am #1953
      John Daniell
      Participant

      Nature, 11/11/2016

      New AI-based search engines are emerging to compete with Google Scholar’s keyword-based search algorithms. Both Semantic Scholar and Microsoft Academic leverage algorithms that can determine how influential or relevant a paper is. Techniques like this differentiate the search engines from Google Scholar, which uses a keyword search that simply checks every text for instances of the searched word or phrase and its synonyms.

      [See the full post at: New AI-Based Search Engines Are a “Game Changer” for Science Research]

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