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研发团队面临的第一个难题，是如何让机器“看懂”柔性面料。传统缝纫依赖工人的手感微调，而自动化设备需要的是绝对精准的定位。他们从研发机器设备开始，经历了200多张版型图的迭代、上千组参数调整、2000名用户深度参与、10万多条试穿样品的打磨，最终创新研发出“立体缝制”技术。
A few years ago, Cornman found a way around the problem. In the U.S., commercial flights served by air-traffic control—some twenty-seven thousand a day—are required to transmit their position, altitude, and velocity. By tracking those transmissions and the planes’ motions over time, a new program that Cornman developed at NCAR can create a moment-by-moment snapshot of turbulence as it’s happening. The F.A.A. is planning to test the program this year. Together with NCAR’s earlier software, Sharman’s forecasting models, and data from radar arrays on the ground, this system could start to give pilots the advance warning they need. “That is the future for me,” Cornman said. “All these operations get integrated in a seamless network. The pilots don’t have to talk to air-traffic control and say, ‘Should I go up or down?’ They just get a display with a color-coded flight track on it. And they see that it looks better a few thousand feet up.”
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