Summary of Brilla Ai: Ai Contestant For the National Science and Maths Quiz, by George Boateng et al.
Brilla AI: AI Contestant for the National Science and Maths Quiz
by George Boateng, Jonathan Abrefah Mensah, Kevin Takyi Yeboah, William Edor, Andrew Kojo Mensah-Onumah, Naafi Dasana Ibrahim, Nana Sam Yeboah
First submitted to arxiv on: 4 Mar 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Sound (cs.SD); Audio and Speech Processing (eess.AS)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The NSMQ AI Grand Challenge proposes a benchmark for an AI to compete in Ghana’s National Science and Maths Quiz (NSMQ) competition. The goal is to develop a robust AI that can answer questions across biology, chemistry, physics, and math, similar to human contestants. This work presents Brilla AI, a real-time AI contestant that was deployed to unofficially compete in the Riddles round of the 2023 NSMQ Grand Finale. Brilla AI uses four machine learning systems: speech-to-text, question extraction, question answering, and text-to-speech. In its debut, Brilla AI answered one of the four riddles ahead of three human teams, unofficially placing second (tied). The potential applications of this AI include offering science tutoring to students and democratizing science education across Africa. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The African continent needs more teachers to provide better learning support. A new AI could help fill this gap by competing in Ghana’s National Science and Maths Quiz competition. In this project, researchers built an AI called Brilla AI that can answer questions like humans do. They tested it in a real quiz and it did well! This technology could one day help students learn science better. |
Keywords
» Artificial intelligence » Machine learning » Question answering
