"Why Company Culture Matters from Day One" 500 Startups
Pasha Sadri is the CTO and co-founder of Polyvore. Before co-founding Polyvore, Pasha was a principal software engineer at Yahoo, where he built several products from scratch, including Yahoo Pipes and Yahoo Trip Planner. Pasha has a degree in mechanical engineering from UC San Diego.
We're developing augmented reality software to help clinicians with pre-surgical planning by providing them with patient-specific, high fidelity 3D holograms that have been derived from the same data used to generate conventional CT scans and MRIs.
The Atlas is unlocking the $1.6 trillion local government market with a platform city officials use to build and buy better stuff more quickly...all without ever selling to cities.
"Why Company Culture Matters from Day One" 500 Startups
Pasha Sadri is the CTO and co-founder of Polyvore. Before co-founding Polyvore, Pasha was a principal software engineer at Yahoo, where he built several products from scratch, including Yahoo Pipes and Yahoo Trip Planner. Pasha has a degree in mechanical engineering from UC San Diego.
We're developing augmented reality software to help clinicians with pre-surgical planning by providing them with patient-specific, high fidelity 3D holograms that have been derived from the same data used to generate conventional CT scans and MRIs.
The Atlas is unlocking the $1.6 trillion local government market with a platform city officials use to build and buy better stuff more quickly...all without ever selling to cities.
AI to predict the risk of vehicle accidents using over 40 external factors including road and environmental conditions - for Usage Based Insurance and Safety usecases.
Pilota created AI algorithms that can predict flights at risk of disruption. They use this to proactively book travelers on a new flight for free during expected disruptions.
Esports is growing exponentially, but is still a highly fragmented industry. Juked is changing the game by creating the internet's first one-stop-destination for esports entertainment.
GamerzClass creates gaming masterclasses for all the biggest esport titles. Carefully designed with the best players in the world, they aspire to help gamers reach their maximum potential both in and outside of the game.
eino is a prediction platform; they help companies increase revenue in capital planning and supply chain management by analyzing possible future scenarios and determining prudent actions.
Bliinx aggregates business interactions between professionals and their contacts so that they can get up to speed on relationships without jumping through a bunch of platforms. They also generate company-wide relationship insights that boost business development initiatives and customer ROI.
【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。
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.
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That’s actually a rapper from 8-mile
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