核聚变等离子体控制中的人工智能测验

当您参加测验时，就会出现答案和解释。

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. DeepMind 使用什么机器学习方法来控制 TCV 托卡马克？
   • 强化学习
   • 监督图像分类
   • 简单线性回归
   • 基于规则的专家系统
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. 人工智能试图预测的等离子“干扰”是什么？
   • 日程安排冲突
   • 电费单
   • 等离子体的突然崩溃会损坏反应堆
   • 软件错误
5. DeepMind 控制器输出什么来引导等离子体？
   • 电磁线圈的电压命令
   • 推文
   • 仅温度读数
   • 等离子体的图像
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