The three-body problem, one of the most notoriously complex calculations in physics, may have met its match in artificial intelligence: a new neural network promises to find solutions up to 100 million times faster than existing techniques.
三体问题是物理学中最复杂的计算题之一,但它在人工智能领域可能遇到了对手:一种新型神经网络有望以比现有技术快1亿倍的速度找出其解决方案。
First formulated by Sir Isaac Newton, the three-body problem involves calculating the movement of three gravitationally interacting bodies – such as the Earth, the Moon, and the Sun, for example – given their initial positions and velocities.
三体问题是由艾萨克·牛顿爵士最先提出的,它指的是已知三个物体最初的位置和速度,计算它们在相互之间万有引力作用下的运动规律,例如地球、月球和太阳。
It might sound simple at first, but the ensuing chaotic movement has stumped mathematicians and physicists for hundreds of years, to the extent that all but the most dedicated humans have tried to avoid thinking about it as much as possible.
这个问题最初听起来可能很简单,但由此产生的混乱运动已经困扰了数学家和物理学家数百年,以至于除了最专注的人以外,其他人都尽量避免去想这个问题。
That's why chronometer time-keepers became more popular for calculating positions at sea rather than using the Moon and the stars – it was just less of a head-scratcher.
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