There’s just one hitch: the system still needs guinea pigs. Even the best weather models can’t pinpoint where clear-air turbulence will occur. So the NCAR programs continue to rely on firsthand reports from planes that have already been tossed around. New technologies could change that in coming years. A plane equipped with a lidar sensor—which uses lasers to detect much finer particles than radar can—could pick up on turbulence even in a cloudless sky. But lidar systems are still too bulky and expensive to fit into a plane’s nose cone. And the government and the airline industry have been slow to invest in improving them. For now, the best hope for a flight heading into turbulence might be to program the plane itself to ride the bumps.
Here's a subtle hint for today's Wordle answer:Cloths.
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Now that we have direct access to the ANE, we can actually measure what it can do. In Part 2, we’ll benchmark everything: matmul scaling, the SRAM performance cliff, why convolution is 3× faster than matmul, why Apple’s “38 TOPS” claim is misleading, and how bypassing CoreML gives you 2-4× more throughput.
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第一百三十七条 公安机关应当履行同步录音录像运行安全管理职责，完善技术措施，定期维护设施设备，保障录音录像设备运行连续、稳定、安全。，更多细节参见下载安装汽水音乐
// process chunks