Results 1 to 10 of about 80,642 (158)

Optically levitated nanoparticles as receiving antennas for low frequency wireless communication

PhotoniX
Low-frequency (LF) wireless communications play a crucial role in ensuring anti-interference, long-range, and efficient communication across various environments.
Zhenhai Fu, Jinsheng Xu, Shaochong Zhu, Chaoxiong He, Xunming Zhu, Xiaowen Gao, Han Cai, Peitong He, Zhiming Chen, Yizhou Zhang, Nan Li, Xingfan Chen, Ying Dong, Shiyao Zhu, Cheng Liu, Huizhu Hu   +15 more
doaj   +1 more source

Is Computing with Light All You Need? A Perspective on Codesign for Optical Artificial Intelligence and Scientific Computing

Advanced Intelligent Systems
Anything and everything can be solved with light—but under what contexts should one use optical computing and how should optical systems be designed for these tasks?
Prasad P. Iyer, Gaurang R. Bhatt, Saaketh Desai, Elliot J. Fuller, Corinne M. Teeter, François Léonard, Craig M. Vineyard   +6 more
doaj   +1 more source

A multichannel optical computing architecture for advanced machine vision. [PDF]

Light Sci Appl, 2022
Xu Z, Yuan X, Zhou T, Fang L.
europepmc   +1 more source

Materials for emergent silicon-integrated optical computing. [PDF]

J Appl Phys, 2021
Demkov AA, Bajaj C, Ekerdt JG, Palmstrøm CJ, Ben Yoo SJ.   +4 more
europepmc   +1 more source

Optical neural networks: progress and challenges

Light: Science & Applications
Artificial intelligence has prevailed in all trades and professions due to the assistance of big data resources, advanced algorithms, and high-performance electronic hardware.
Tingzhao Fu, Jianfa Zhang, Run Sun, Yuyao Huang, Wei Xu, Sigang Yang, Zhihong Zhu, Hongwei Chen   +7 more
doaj   +1 more source

Enabling scalable optical computing in synthetic frequency dimension using integrated cavity acousto-optics. [PDF]

Nat Commun, 2022
Zhao H, Li B, Li H, Li M.
europepmc   +1 more source

Digital-analog hybrid matrix multiplication processor for optical neural networks

Nature Communications
Optical neural networks (ONNs) promise computing efficiency beyond microelectronics for modern artificial intelligence (AI). Current ONNs using analog matrix-vector multiplication (MVM) implementations are fundamentally limited in numerical precision due
Xiansong Meng, Deming Kong, Kwangwoong Kim, Qiuchi Li, Po Dong, Ingemar J. Cox, Christina Lioma, Hao Hu   +7 more
doaj   +1 more source

Photonics Breakthroughs 2024: Nonlinear Photonic Computing at Scale

IEEE Photonics Journal
A photonic neural network utilizes photons instead of electrons to process information, with the prospect of higher computing efficiency, lower power consumption, and reduced latency.
Hao Wang, Jianqi Hu, Andrea Morandi, Alfonso Nardi, Fei Xia, Xuanchen Li, Romolo Savo, Qiang Liu, Rachel Grange, Sylvain Gigan   +9 more
doaj   +1 more source

Space-efficient optical computing with an integrated chip diffractive neural network. [PDF]

Nat Commun, 2022
Zhu HH, Zou J, Zhang H, Shi YZ, Luo SB, Wang N, Cai H, Wan LX, Wang B, Jiang XD, Thompson J, Luo XS, Zhou XH, Xiao LM, Huang W, Patrick L, Gu M, Kwek LC, Liu AQ.   +18 more
europepmc   +1 more source

Computer-free computational imaging: optical computing for seeing through random media. [PDF]

Light Sci Appl, 2022
Li Y, Tian L.
europepmc   +1 more source