Deep Learning has proliferated dramatically across consumer devices in less than a decade, but has been largely powered through the hardware acceleration within isolated devices. Nonetheless, clear signals exist that the next decade of consumer intelligence will require levels of resources, a mixing of modalities and a collaboration of devices that will demand a significant pivot beyond hardware alone. To accomplish this, we believe a new Edge-AI paradigm will be necessary for this transition to be possible in a sustainable manner, without trespassing user-privacy or hurting quality of experience.

翻译：在不到10年的时间里,深入学习在消费者设备中急剧扩散,但大部分是通过孤立设备中的硬件加速而得到动力。 尽管如此,有明显迹象表明,下一个十年的消费者情报将需要资源水平、各种模式的混合和各种设备的合作,这些设备将要求超越硬件以外的重要支点。 为了实现这一目标,我们认为,新的Edge-AI范式将是必要的,这样才能以可持续的方式实现这一过渡,而不会侵犯用户隐私或损害经验质量。