[HTML][HTML] Compact optical convolution processing unit based on multimode interference
Convolutional neural networks are an important category of deep learning, currently facing
the limitations of electrical frequency and memory access time in massive data processing …
the limitations of electrical frequency and memory access time in massive data processing …
[HTML][HTML] Compact optical convolution processing unit based on multimode interference
X Meng, G Zhang, N Shi, G Li, J Azaña… - Nature …, 2023 - ncbi.nlm.nih.gov
Convolutional neural networks are an important category of deep learning, currently facing
the limitations of electrical frequency and memory access time in massive data processing …
the limitations of electrical frequency and memory access time in massive data processing …
Compact optical convolution processing unit based on multimode interference
X Meng, G Zhang, N Shi, G Li, J Azaña… - Nature …, 2023 - ideas.repec.org
Convolutional neural networks are an important category of deep learning, currently facing
the limitations of electrical frequency and memory access time in massive data processing …
the limitations of electrical frequency and memory access time in massive data processing …
Compact optical convolution processing unit based on multimode interference
X Meng, G Zhang, N Shi, G Li, J Azaña… - Nature …, 2023 - pubmed.ncbi.nlm.nih.gov
Convolutional neural networks are an important category of deep learning, currently facing
the limitations of electrical frequency and memory access time in massive data processing …
the limitations of electrical frequency and memory access time in massive data processing …
Compact optical convolution processing unit based on multimode interference
X Meng, G Zhang, N Shi, G Li, J Azaña… - Nature …, 2023 - econpapers.repec.org
Convolutional neural networks are an important category of deep learning, currently facing
the limitations of electrical frequency and memory access time in massive data processing …
the limitations of electrical frequency and memory access time in massive data processing …
Compact optical convolution processing unit based on multimode interference.
X Meng, G Zhang, N Shi, G Li, J Azaña… - Nature …, 2023 - search.ebscohost.com
Convolutional neural networks are an important category of deep learning, currently facing
the limitations of electrical frequency and memory access time in massive data processing …
the limitations of electrical frequency and memory access time in massive data processing …
Compact optical convolution processing unit based on multimode interference
X Meng, G Zhang, N Shi, G Li, J Azaña… - Nature …, 2023 - ui.adsabs.harvard.edu
Convolutional neural networks are an important category of deep learning, currently facing
the limitations of electrical frequency and memory access time in massive data processing …
the limitations of electrical frequency and memory access time in massive data processing …
Compact optical convolution processing unit based on multimode interference.
X Meng, G Zhang, N Shi, G Li, J Azaña… - Nature …, 2023 - europepmc.org
Convolutional neural networks are an important category of deep learning, currently facing
the limitations of electrical frequency and memory access time in massive data processing …
the limitations of electrical frequency and memory access time in massive data processing …
Compact optical convolution processing unit based on multimode interference.
X Meng, G Zhang, N Shi, G Li, J Azaña… - Nature …, 2023 - europepmc.org
Convolutional neural networks are an important category of deep learning, currently facing
the limitations of electrical frequency and memory access time in massive data processing …
the limitations of electrical frequency and memory access time in massive data processing …