Selecting interesting proton–proton collisions from the millions taking place each second in the Large Hadron Collider is a challenging task. A neural network optimized for a field-programmable gate array hardware enables 60 ns inference and reduces power consumption by a factor of 50.

中文翻译：

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粒子物理学的资源高效推理

从大型强子对撞机每秒发生的数百万次碰撞中选择有趣的质子-质子碰撞是一项具有挑战性的任务。针对现场可编程门阵列硬件优化的神经网络可实现 60 ns 推理并将功耗降低 50 倍。