This session, led by James Hamilton, VP and Distinguished Engineer, gives an insider view of some the innovations that help make the AWS cloud unique. He will show examples of AWS networking innovations from the interregional network backbone, through custom routers and networking protocol stack, all the way down to individual servers. He will show examples from AWS server hardware, storage, and power distribution and then, up the stack, in high scale streaming data processing. James will also dive into fundamental database work AWS is delivering to open up scaling and performance limits, reduce costs, and eliminate much of the administrative burden of managing databases. Join this session and walk away with a deeper understanding of the underlying innovations powering the cloud.
Pace of Innovation at AWS - London Summit Enteprise Track RePlayAmazon Web Services
In this session we will present some of the stories around innovation in the Amazon Web Services Datacenter including how it partners with other vendors in the hardware space.
Want to learn the basics of cloud computing with AWS and how various infrastructure building blocks fit together? If so, then join us in this webinar to find out how the AWS Cloud provides rapid access to flexible resources for your organization’s needs.
This session, led by James Hamilton, VP and Distinguished Engineer, gives an insider view of some the innovations that help make the AWS cloud unique. He will show examples of AWS networking innovations from the interregional network backbone, through custom routers and networking protocol stack, all the way down to individual servers. He will show examples from AWS server hardware, storage, and power distribution and then, up the stack, in high scale streaming data processing. James will also dive into fundamental database work AWS is delivering to open up scaling and performance limits, reduce costs, and eliminate much of the administrative burden of managing databases. Join this session and walk away with a deeper understanding of the underlying innovations powering the cloud.
Pace of Innovation at AWS - London Summit Enteprise Track RePlayAmazon Web Services
In this session we will present some of the stories around innovation in the Amazon Web Services Datacenter including how it partners with other vendors in the hardware space.
Want to learn the basics of cloud computing with AWS and how various infrastructure building blocks fit together? If so, then join us in this webinar to find out how the AWS Cloud provides rapid access to flexible resources for your organization’s needs.
AWS(Amazon Web Services)には30以上のサービスがあり、その組み合わせによって成り立っています。うまく使いこなすことで、「単なるサーバ」とは違った開発、運用が実現されます。新サービスや機能拡張により、その選択肢は広がりますが、使いこなしが大切になってきます。今回は、特に予期できる、あるいは予期できないイベントに対応できる開発からサービス運用のための様々なAWSサービスを特に新サービスに力をいれて紹介します。
セル生産方式におけるロボットの活用には様々な問題があるが,その一つとして 3 体以上の物体の組み立てが挙げられる.一般に,複数物体を同時に組み立てる際は,対象の部品をそれぞれロボットアームまたは治具でそれぞれ独立に保持することで組み立てを遂行すると考えられる.ただし,この方法ではロボットアームや治具を部品数と同じ数だけ必要とし,部品数が多いほどコスト面や設置スペースの関係で無駄が多くなる.この課題に対して音𣷓らは組み立て対象物に働く接触力等の解析により,治具等で固定されていない対象物が組み立て作業中に運動しにくい状態となる条件を求めた.すなわち,環境中の非把持対象物のロバスト性を考慮して,組み立て作業条件を検討している.本研究ではこの方策に基づいて,複数物体の組み立て作業を単腕マニピュレータで実行することを目的とする.このとき,対象物のロバスト性を考慮することで,仮組状態の複数物体を同時に扱う手法を提案する.作業対象としてパイプジョイントの組み立てを挙げ,簡易な道具を用いることで単腕マニピュレータで複数物体を同時に把持できることを示す.さらに,作業成功率の向上のために RGB-D カメラを用いた物体の位置検出に基づくロボット制御及び動作計画を実装する.
This paper discusses assembly operations using a single manipulator and a parallel gripper to simultaneously
grasp multiple objects and hold the group of temporarily assembled objects. Multiple robots and jigs generally operate
assembly tasks by constraining the target objects mechanically or geometrically to prevent them from moving. It is
necessary to analyze the physical interaction between the objects for such constraints to achieve the tasks with a single
gripper. In this paper, we focus on assembling pipe joints as an example and discuss constraining the motion of the
objects. Our demonstration shows that a simple tool can facilitate holding multiple objects with a single gripper.
【DLゼミ】XFeat: Accelerated Features for Lightweight Image Matchingharmonylab
公開URL:https://arxiv.org/pdf/2404.19174
出典:Guilherme Potje, Felipe Cadar, Andre Araujo, Renato Martins, Erickson R. ascimento: XFeat: Accelerated Features for Lightweight Image Matching, Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
概要:リソース効率に優れた特徴点マッチングのための軽量なアーキテクチャ「XFeat(Accelerated Features)」を提案します。手法は、局所的な特徴点の検出、抽出、マッチングのための畳み込みニューラルネットワークの基本的な設計を再検討します。特に、リソースが限られたデバイス向けに迅速かつ堅牢なアルゴリズムが必要とされるため、解像度を可能な限り高く保ちながら、ネットワークのチャネル数を制限します。さらに、スパース下でのマッチングを選択できる設計となっており、ナビゲーションやARなどのアプリケーションに適しています。XFeatは、高速かつ同等以上の精度を実現し、一般的なラップトップのCPU上でリアルタイムで動作します。
10. 世界中に広がるAWSの拠点
11 のリージョン
1. US EAST (Virginia)
2. US WEST (N. California)
3. US WEST 2 (Oregon)
4. EU WEST (Ireland)
5. JAPAN (Tokyo)
6. South America (Sao Paulo)
7. ASP 1 (Singapore)
8. ASP 2 (Sydney)
9. GovCloud
10. BJS 1 (Beijing China) limited preview
11. EU (Frankfurt) <NEW>
28 のアベイラビリティ・ゾーン
52 のエッジロケーション
12. Gartner Magic Quadrant for Cloud Infrastructure as a
Service
Gartner “Magic Quadrant for Cloud Infrastructure as a Service,” Lydia Leong, Douglas Toombs, Bob Gill, Gregor Petri, Tiny Haynes, May 28, 2014. This Magic Quadrant graphic was published by Gartner, Inc. as part of a larger research
note and should be evaluated in the context of the entire report. The Gartner report is available at http://aws.amazon.com/resources/analyst-‐‑‒reports/. Gartner does not endorse any vendor, product or service depicted in its research
publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be
construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.