一个是信道估计。无线信号在空中传播，受到干扰、衰落、遮挡的影响，基站需要实时估计信道状态，才能决定用什么样的参数发送数据。传统算法有局限，而AI可以通过学习历史数据，更准确地预测信道变化。富士通旗下的一个团队给出的数据是：用AI改善信道估计，可以把上行链路性能提升20%，某些场景下甚至能达到50%。
许多人将不得不开始重新审视这个创意爱好的规则边界。
。关于这个话题，新收录的资料提供了深入分析
Google还增加了两项与Waymo自动驾驶出租车部门和Wing无人机送货创业公司增长挂钩的新股票激励措施，价值可能高达3.5亿美元。皮查伊将获得目标价值1.3亿美元的Waymo股票，以及目标价值4500万美元的Wing股票。这两项股票激励基于三年后的“公允价值”，最高可支付目标值的200%。
I also learned how forgiving C parsing can be: __attribute((foo)) compiled and ran, even though the correct syntax is __attribute__((foo)). I got no compilation failure to tell me that anything went wrong.，这一点在新收录的资料中也有详细论述
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Isn’t the whole point of using low level languages