Deep Learning Acceleration with Silicon Photonics

As Dennard scaling comes to an end, new computing paradigms are being explored. Recent work has shown compatibility of neural networks with mixed- and low-precision number representations, prompting exploration into analog compute platforms. Here, we discuss the application of silicon photonics to deep learning.