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05/31/2023
Integrated multi-operand optical neurons for scalable and hardware-efficient deep learning
The optical neural network (ONN) is a promising hardware platform for ne...
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05/31/2023
DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator
The wide adoption and significant computing resource consumption of atte...
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05/31/2023
M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference
Photonic computing shows promise for transformative advancements in mach...
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05/24/2023
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers
Transformers have achieved great success in machine learning application...
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09/19/2022
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation
Optical computing is an emerging technology for next-generation efficien...
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08/17/2022
Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration
Analog computing has been recognized as a promising low-power alternativ...
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02/13/2022
Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search
Embedding based retrieval (EBR) is a fundamental building block in many ...
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12/15/2021
ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement
With the recent advances in optical phase change material (PCM), photoni...
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11/11/2021
Silicon photonic subspace neural chip for hardware-efficient deep learning
As deep learning has shown revolutionary performance in many artificial ...
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10/27/2021
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization
Silicon-photonics-based optical neural network (ONN) is a promising hard...
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08/25/2021
Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation
Deep neural networks (DNN) have shown superior performance in a variety ...
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05/03/2017