The authors showcase a photonic tensor core in TFLN platform that achieves a computational speed of 120 GOPS for neural networks, with capabilities of in-situ training that support exciting prospects of negative number multiplication. The tensor core can efficiently process 112 × 112-pixel images, potentially scaling up AI tasks and offering nanosecond latency without needing a digital processor.
- Zhongjin Lin
- Bhavin J. Shastri
- Lukas Chrostowski
