핵융합 플라즈마 제어 퀴즈의 AI

퀴즈를 풀면 정답과 설명이 나타납니다.

1. What do magnetic fields control in the tokamak confinement context described here?
   • Only the color of a decorative image
   • Only the retail electricity price
   • A guarantee that every device has the same temperature
   • The confinement, position and shape of charged plasma
2. DeepMind는 TCV 토카막을 제어하기 위해 어떤 기계 학습 방법을 사용했나요?
   • 강화 학습
   • 지도 이미지 분류
   • 단순 선형 회귀
   • 규칙 기반 전문가 시스템
3. Why does the cited TCV control work use a simulated environment for policy training?
   • It proves simulation and every physical device are identical
   • It provides trial-and-error experience before the evaluated hardware tests
   • It eliminates the need to validate transfer
   • It means no tokamak hardware was used
4. AI가 예측하려는 플라즈마 '교란'이란?
   • 일정 충돌
   • 전력 요금
   • 원자로를 손상시킬 수 있는 플라즈마의 갑작스러운 붕괴
   • 소프트웨어 버그
5. 플라즈마를 조종하기 위해 DeepMind 컨트롤러는 무엇을 출력했습니까?
   • 자기 코일에 대한 전압 명령
   • 트윗
   • 온도 판독값만
   • 플라즈마 이미지
6. On which experimental tokamak was the cited 2022 learned magnetic-control demonstration performed?
   • A proven commercial fusion power station
   • Only an unspecified future ITER power plant
   • A standard battery factory
   • TCV at the Swiss Plasma Center
7. At a uniform cadence of 10,000 control interactions per second, what interval separates interactions?
   • 10 milliseconds
   • 100 milliseconds
   • 0.1 milliseconds
   • 1 second
8. What does the reported TCV droplet configuration contain?
   • A completed commercial electric generator
   • Two plasmas inside the vessel simultaneously
   • Only a liquid-water cooling droplet with no plasma
   • An unlimited number of separate reactors