The lecture was on the topic that Mr Schneider, then 27, had been working on for two years and would work on for another 38: what were humans doing to the climate?
发表此演讲时,施奈德先生仅27岁,已经工作了两年并将余下的38年为这一话题而探索:人类正对气候造成了什么影响?
Mr Schneider noted that clever machine-learning tools could process Uber's piles of data and determine when and where demand is likely to outstrip the supply of cars.
施耐德就指出过精明的机器研究工具能够处理优步的数据堆并且能够预测出乘车需求大于供给的时间和地点。无需等待需求上涨亦无需司机查看演唱会的日程。
Mr. Schneider: Over the years there have been some legendary discoveries.
施奈德: 这些年中邮票市场上出现过一些传奇性发现。
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