Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

491
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
491
Ampere's Law: Problem-Solving01:31

Ampere's Law: Problem-Solving

3.5K
Ampere's law states that for any closed looped path, the line integral of the magnetic field along the path equals the vacuum permeability times the current enclosed in the loop. If the fingers of the right hand curl along the direction of the integration path, the current in the direction of the thumb is considered positive. The current opposite to the thumb direction is considered negative.
Specific steps need to be considered while calculating the symmetric magnetic field distribution...
3.5K
Acceleration Vectors01:30

Acceleration Vectors

7.9K
In everyday conversation, accelerating means speeding up. Acceleration is a vector in the same direction as the change in velocity, Δv, therefore the greater the acceleration, the greater the change in velocity over a given time. Since velocity is a vector, it can change in magnitude, direction, or both. Thus acceleration is a change in speed or direction, or both. For example, if a runner traveling at 10 km/h due east slows to a stop, reverses direction, and continues their run at 10 km/h...
7.9K
Photoelectric Effect02:26

Photoelectric Effect

29.1K
When light of a particular wavelength strikes a metal surface, electrons are emitted. This is called the photoelectric effect. The minimum frequency of light that can cause such emission of electrons is called the threshold frequency, which is specific to the metal. Light with a frequency lower than the threshold frequency, even if it is of high intensity, cannot initiate the emission of electrons. However, when the frequency is higher than the threshold value, the number of electrons ejected...
29.1K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Evaluating the Safety of a Ketamine Sedation Protocol In a Pediatric Oncology Population in Tanzania: A Quality Improvement Project.

AANA journal·2026
Same author

Engineered zinc finger repressors induce a prolonged and selective repression of <i>SCN9A</i> in nociceptors of nonhuman primates.

Science translational medicine·2026
Same author

A near-continuous archaeological record of Pleistocene human occupation at Leang Bulu Bettue, Sulawesi, Indonesia.

PloS one·2025
Same author

Oxidant Canister Cleaning in Preparation for Sampling and Analyzing Airborne Ethylene Oxide and Other VOCs.

ACS omega·2025
Same author

A multi-perspective study assessing Black and African American participation barriers in prostate cancer clinical trials.

Future oncology (London, England)·2025
Same author

Novel insights and practical strategies for health professionals to improve the uptake of plant-based diets in people with chronic kidney disease.

Kidney research and clinical practice·2025
Same journal

Six ways to put the public at the heart of science and policy.

Nature·2026
Same journal

The complex truth about trust in science.

Nature·2026
Same journal

Have people stopped trusting science? The data tell a surprising story.

Nature·2026
Same journal

How FAIR data are helping to build trust in science.

Nature·2026
Same journal

Scientists should recognize their own political biases to build public trust.

Nature·2026
Same journal

Harmonizing standards and resources for the medical genome.

Nature·2026
関連記事をすべて見る

関連する実験動画

Updated: May 15, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

461

ユニバーサルフォトニック人工知能加速

Sufi R Ahmed1, Reza Baghdadi1, Mikhail Bernadskiy1

  • 1Lightmatter, Mountain View, CA, USA.

Nature
|April 9, 2025
PubMed
まとめ
この要約は機械生成です。

研究者は複雑なAIモデルを 電子に近い精度で実行できる フォトニックAIプロセッサを開発しました この画期的な進歩は AI アプリケーションのフォトニックコンピューティングを進めており 伝統的な電子機器を超えた道を開きます

さらに関連する動画

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
00:07

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

8.3K
A High-performance Compact Photoacoustic Tomography System for In Vivo Small-animal Brain Imaging
05:32

A High-performance Compact Photoacoustic Tomography System for In Vivo Small-animal Brain Imaging

Published on: June 21, 2017

10.4K

関連する実験動画

Last Updated: May 15, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

461
A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
00:07

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

8.3K
A High-performance Compact Photoacoustic Tomography System for In Vivo Small-animal Brain Imaging
05:32

A High-performance Compact Photoacoustic Tomography System for In Vivo Small-animal Brain Imaging

Published on: June 21, 2017

10.4K

科学分野:

  • 光学について
  • 人工知能 (AI)
  • 深層学習
  • コンピュータ工学

背景:

  • フォトニクスの研究は,エネルギー効率とパフォーマンスを高めるために,AIとディープラーニングのテンソール操作を加速することに焦点を当てています.
  • この分野は,ムーアの法則とデナードのスケーリングを超えた進歩を維持するために,伝統的なコンピューティングの代替案を探しています.
  • 現在の光子チップには 実践的なAIの精度が欠けていて 基本的なタスクに限定されています

研究 の 目的:

  • 先進的なAIモデルを実行できる新しい光学AIプロセッサを導入します.
  • 電子AIアクセラレータと競合する フォトニックコンピューティングの可能性を 示すこと
  • トランジスタ後のコンピューティング技術の開発に貢献する.

主な方法:

  • 新しいフォトニック AI プロセッサアーキテクチャの開発
  • ResNetとBERTを含む高度なAIモデルをフォトニックプロセッサで実行する.
  • Atariの深層補強学習アルゴリズムの統合とテスト.

主要な成果:

  • フォトニックAIプロセッサは 複雑なAIモデルと ディープ強化学習アルゴリズムを 実行しました
  • プロセッサは様々な作業に対して 電子に近い精度を達成した.
  • これはAIアプリケーションの フォトニックコンピューティングの 重要な進歩です

結論:

  • 開発されたフォトニックAIプロセッサは,高度なAIタスクのための実用的な能力を実証しています.
  • フォトニック・コンピューティングは 確立された電子AI加速器の 競争相手として浮上しています
  • この研究は,将来のトランジスタ後のコンピューティングパラダイムに向けた重要なステップを代表しています.