Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Parallel Processing01:20

Parallel Processing

839
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
839
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

12.0K
Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
12.0K
Glassware Calibration01:11

Glassware Calibration

1.7K
Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
Volumetric flasks: Volumetric flasks are designed to prepare aqueous solutions of precise volumes accurately with a calibration line on the neck. To calibrate a volumetric flask, it is important to fill it with distilled...
1.7K
Upsampling01:22

Upsampling

676
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
676
Downsampling01:20

Downsampling

739
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
739

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Quantum state revival via coherent energy redistribution.

Science advances·2026
Same author

Photonic-waveguide-enabled femtosecond dissipative solitons in mode-locked lasers.

Optics letters·2026
Same author

Multi-Soliton Microcombs Enable Ultrafast Nanometric-Precision Ranging and Photon-Level Detection.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Structured liquid-based reconfigurable all-liquid optical fibers.

Nature communications·2025
Same author

Scalable photonic reservoir computing for parallel machine learning tasks.

Nature communications·2025
Same author

Cross dual-microcomb dispersion interferometry ranging.

Science advances·2025
Same journal

Bi-layer photonic random meta-composite for cryogenic thermal control by ultra-broadband scattering matched reflectance.

Light, science & applications·2026
Same journal

Interferometric scattering for optical tomoslicing of transparent solids.

Light, science & applications·2026
Same journal

Multi-dimensional spatial-temporal projection ultrafast compressed imaging.

Light, science & applications·2026
Same journal

Expanded field of view light-field extended-reality displays with metalens array.

Light, science & applications·2026
Same journal

Experimental observation of counter-intuitive features of photonic bunching.

Light, science & applications·2026
Same journal

High-speed and high-sensitivity multi-gas detection based on parallel heterodyne LITES sensor.

Light, science & applications·2026
查看所有相关文章

相关实验视频

Updated: Mar 7, 2026

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

10.4K

支持微组的并行自我校准光学卷积流处理器.

Jiajia Wang1, Xingyuan Xu2, Xiaotian Zhu3

  • 1State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China.

Light, science & applications
|March 5, 2026
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种新的光学卷积流处理器 (OCSP),用于更快,更节能的人工智能硬件. 这款支持微组合的处理器实现了4个TOPS,满足了数据中心的需求.

更多相关视频

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
07:19

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Published on: June 28, 2017

10.8K
Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment
07:12

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment

Published on: January 6, 2026

511

相关实验视频

Last Updated: Mar 7, 2026

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

10.4K
Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
07:19

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Published on: June 28, 2017

10.8K
Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment
07:12

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment

Published on: January 6, 2026

511

科学领域:

  • 光子学和神经形态计算
  • 数据中心硬件架构 数据中心硬件架构

背景情况:

  • 云计算和人工智能的指数式增长需要高带宽,节能的数据中心硬件.
  • 摩尔定律的局限性推动了寻找替代方案的研究,比如用于超高速和低能耗的光学神经形态计算.

研究的目的:

  • 提出和验证一个支持微组的并行光学卷积流处理器 (OCSP).
  • 展示一个实用的解决方案,将光子计算集成到用于AI工作负载的数据中心互连中.

主要方法:

  • 开发了一个利用时间,空间和波长三维多重复的OCSP.
  • 实施了强大的自我校准机制,用于准确的光学相位校准.
  • 采用时空交错的被动周期干扰架构与波长分割复杂化.

主要成果:

  • 实现的数据速率为50 GBaud或更高.
  • 达到高达每秒4万亿次运算 (TOPS) 的卷积计算速度.
  • 对并行图像特征提取和识别任务进行实验验证的性能.

结论:

  • OCSP为数据中心的AI工作负载提供了一个可扩展,低延迟的解决方案.
  • 这项技术为将光子计算单元集成到现有数据中心基础设施中提供了一条实用的途径.