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The Future of Deep Learning Is Photonic: Reducing the energy needs of neural networks might require computing with light
IEEE Spectrum ( IF 2.6 ) Pub Date : 2021-07-05 , DOI: 10.1109/mspec.2021.9475393
Ryan Hamerly

Think of the many tasks to which computers are being applied that in the not-so-distant past required human intuition. Computers routinely identify objects in images, transcribe speech, translate between languages, diagnose medical conditions, play complex games, and drive cars.

中文翻译:


深度学习的未来是光子:减少神经网络的能源需求可能需要利用光进行计算



想想计算机所应用的许多任务,在不久的过去,这些任务需要人类的直觉。计算机通常会识别图像中的物体、转录语音、在语言之间进行翻译、诊断医疗状况、玩复杂的游戏和驾驶汽车。
更新日期:2021-07-05
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