Results 11 to 20 of about 78,872 (276)

Analog optical computer for AI inference and combinatorial optimization. [PDF]

Nature
Abstract Artificial intelligence (AI) and combinatorial optimization drive applications across science and industry, but their increasing energy demands challenge the sustainability of digital computing. Most unconventional computing systems1–7 target either AI or optimization workloads and rely on frequent, energy-intensive digital ...
Kalinin KP, Gladrow J, Chu J, Clegg JH, Cletheroe D, Kelly DJ, Rahmani B, Brennan G, Canakci B, Falck F, Hansen M, Kleewein J, Kremer H, O'Shea G, Pickup L, Rajmohan S, Rowstron A, Ruhle V, Braine L, Khedekar S, Berloff NG, Gkantsidis C, Parmigiani F, Ballani H.   +23 more
europepmc   +7 more sources

The challenges of modern computing and new opportunities for optics

PhotoniX, 2021
In recent years, the explosive development of artificial intelligence implementing by artificial neural networks (ANNs) creates inconceivable demands for computing hardware.
Chong Li, Xiang Zhang, Jingwei Li, Tao Fang, Xiaowen Dong   +4 more
doaj   +2 more sources

When optical microscopy meets all-optical analog computing: A brief review

Frontiers of Physics, 2023
As a revolutionary observation tool in life science, biomedical, and material science, optical microscopy allows imaging of samples with high spatial resolution and a wide field of view. However, conventional microscopy methods are limited to single imaging and cannot accomplish real-time image processing.
Shou, Yichang, Liu, Jiawei, Luo, Hailu
openaire   +4 more sources

Analog optical computing by half-wavelength slabs [PDF]

Optics Communications, 2018
A new approach to perform analog optical differentiation is presented using half-wavelength slabs. First, a half-wavelength dielectric slab is used to design a first order differentiator. The latter works properly for both major polarizations, in contrast to designs based on Brewster effect [Opt. Lett. 41, 3467 (2016)].
Zangeneh-Nejad, Farzad, Khavasi, Amin, Rejaei, Behzad   +2 more
openaire   +4 more sources

Analog optical computing primitives in silicon photonics

Optics Letters, 2016
Optical computing accelerators may help alleviate bandwidth and power consumption bottlenecks in electronics. We show an approach to implementing logarithmic-type analog co-processors in silicon photonics and use it to perform the exponentiation operation.
Jiang, Yunshan, DeVore, Peter T. S., Jalali, Bahram   +2 more
openaire   +5 more sources

Analog optical computing based on a dielectric meta-reflect array [PDF]

Optics Letters, 2016
In this paper, we realize the concept of analog computing using an array of engineered gradient dielectric meta-reflect-array. The proposed configuration consists of individual subwavelength silicon nanobricks in combination with fused silica spacer and silver ground plane realizing a reflection beam with full phase coverage $2 $ degrees as well as ...
Chizari, Ata, AbdollahRamezani, Sajjad, Jamali, Mohammad Vahid, Salehi, Jawad A.   +3 more
openaire   +5 more sources

Hundred-layer photonic deep learning [PDF]

Nature Communications
In the artificial intelligence era propelled by complex computational models, photonic computing represents a promising approach for energy-efficient machine learning; however, error accumulation inherent to the analog nature limits their depth to around
Tiankuang Zhou, Yizhou Jiang, Zhihao Xu, Zhiwei Xue, Lu Fang   +4 more
doaj   +2 more sources

Image classification with a fully connected opto-electronic neural network [PDF]

EPJ Web of Conferences, 2023
Optical approaches have made great strides enabling high-speed, scalable computing necessary for modern deep learning and AI applications. In this study, we introduce a multilayer optoelectronic computing framework that alternates between optical and ...
Song Alexander, Murty Kottapalli Sai Nikhilesh, Fischer Peer   +2 more
doaj   +1 more source

Metasurface-Based Optical Analog Computing: From Fundamentals to Applications

Advanced Devices & Instrumentation, 2022
With unprecedented growth in data information over the past few decades, it is critically important to seek a faster and more efficient method to simplify data processing.
Dingyu Xu, Shuangchun Wen, Hailu Luo
doaj   +1 more source

Optoelectronic integrated circuits for analog optical computing: Development and challenge

Frontiers in Physics, 2022
Over the past 2 decades, researches in artificial neural networks (ANNs) and deep learning have flourished and enabled the applications of artificial intelligence (AI) in image recognition, natural language processing, medical image analysis, molecular ...
Yihang Dan, Yihang Dan, Zeyang Fan, Qi Chen, Yihang Lai, Xiaojuan Sun, Xiaojuan Sun, Tian Zhang, Kun Xu   +8 more
doaj   +1 more source