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10.1038/s41377-025-01933-8 http://scihub22266oqcxt.onion/10.1038/s41377-025-01933-8 C12411626!12411626 !40908340     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=40908340 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\40908340 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Light+Sci+Appl 2025 ; 14 (1 ): 303 Nephropedia Template TP {{tp|p=40908340 |t=2025. Photonics and microwaves merge to improve computing flexibility |pdf=|usr=}}{{40908340 }} gab.com Text Photonics and microwaves merge to improve computing flexibility JO: Light Sci Appl http://www.kidney.de/pget.php?&tw=1&pmid=40908340 #FOAvip In artificial neural networks, data structures usually exist in the form of vectors, matrices, or higher-dimensional tensors. However, traditional electronic computing architectures are limited by the bottleneck of separation of storage and computing, making it difficult to efficiently handle large-scale tensor operations. The research team has developed a photonic tensor processing unit based on a single microring resonator, which performs tensor convolution operations in multiple dimensions of time, wavelength, and microwave frequency by precisely adjusting the operating state of multi-wavelength lasers. This innovative design increases the photonic computing density to 34.04 TOPS/mm², significantly surpassing the performance level of existing photonic computing chips. Twit Text FOAVip Photonics and microwaves merge to improve computing flexibility ????Light Sci Appl http://www.kidney.de/pget.php?&tw=1&pmid=40908340 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=40908340 #FOAvip English Wikipedia <ref>{{Cite pmid|40908340 }}</ref> Photonics and microwaves merge to improve computing flexibility #MMPMID40908340 Wang H ; Hu G Light Sci Appl 2025[Sep]; 14 (1 ): 303 PMID40908340 show ga In artificial neural networks, data structures usually exist in the form of vectors, matrices, or higher-dimensional tensors. However, traditional electronic computing architectures are limited by the bottleneck of separation of storage and computing, making it difficult to efficiently handle large-scale tensor operations. The research team has developed a photonic tensor processing unit based on a single microring resonator, which performs tensor convolution operations in multiple dimensions of time, wavelength, and microwave frequency by precisely adjusting the operating state of multi-wavelength lasers. This innovative design increases the photonic computing density to 34.04 TOPS/mm², significantly surpassing the performance level of existing photonic computing chips. äPhotonics and microwaves merge to improve computing flexibility (epmc).pdf DeepDyve Pubget Overpricing