作って(壊して?)学ぶインターネットのしくみ サイバーエージェントの実験用ASの紹介 / Introduce experimental AS in ...whywaita
サイバーエージェントの社内エンジニアカンファレンス CA BASE CAMP 2021で発表した資料です
再アップロード版: https://speakerdeck.com/whywaita/as-introduce-experimental-as-in-cyberagent-internet-seminer
作って(壊して?)学ぶインターネットのしくみ サイバーエージェントの実験用ASの紹介 / Introduce experimental AS in ...whywaita
サイバーエージェントの社内エンジニアカンファレンス CA BASE CAMP 2021で発表した資料です
再アップロード版: https://speakerdeck.com/whywaita/as-introduce-experimental-as-in-cyberagent-internet-seminer
The document discusses new features of OpenStack Swift object storage and OpenStack Storlets. It summarizes global erasure coding in OpenStack Swift, which improves storage efficiency and reliability. It also discusses Storlets, which allow running compute logic directly on Swift storage nodes to process objects. The presentation provides an overview of these features and recommends related documentation for further reference.
Dockerをちゃんと使おうと考えていたらKubernetesに出会いました。ERPのシステム開発でkubernetesを使おうとして苦労した、あるいは現在進行形で苦労していることを、そもそもKubernetesが解決しようとしている課題やそのアーキテクチャそのものにも言及しながらお話します。Dockerをベースにシステム設計を行おうとしている方にノウハウ(主に苦労話)を共有します。
July 24th, 2016 July Tech Festa 2016
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017Carol Smith
What is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
This document discusses 5G and multi-access edge computing (MEC). The key points are: 1) 5G can achieve latency of 100ms while 4G is 300ms, and 5G bandwidth is 20Gbps compared to 4G's 1.29Gbps; 2) MEC deployed close to users on 5G can achieve even lower latency of under 10ms; 3) MEC integrated with 5G can enable new applications for IoT, VR/AR with high speed and low latency.
NTT Docomo's Challenge looking ahead the world pf 5G × OpenStack - OpenStack最...VirtualTech Japan Inc.
タイトル:NTT Docomo's Challenge looking ahead the world pf 5G × OpenStack
アジェンダ:
- Current Challenge
-- DOCOMO Cloud Platform
-- BizDevOps
- Challenge for the future
-- DOCOMO 5G Open Cloud
-- Next Challenge
Here are the key points from the AT&T presentation on their "Network AI" framework:
- AT&T is developing an open source framework called "Network AI" to drive their software-defined network transformation.
- The goal is to apply AI/machine learning techniques to continuously optimize their network performance. This will be done by collecting massive amounts of network data and using it to train ML models.
- As part of this effort, AT&T is contributing several open source projects to the Linux Foundation like Airship, Akraino, and Acumos. Airship provides tools for deploying OpenStack and Kubernetes on the edge, while Akraino is an edge computing framework. Acumos allows for developing and
論文紹介:「Amodal Completion via Progressive Mixed Context Diffusion」「Amodal Insta...Toru Tamaki
Katherine Xu, Lingzhi Zhang, Jianbo Shi; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, "Amodal Completion via Progressive Mixed Context Diffusion"CVPR2024
https://openaccess.thecvf.com/content/CVPR2024/html/Xu_Amodal_Completion_via_Progressive_Mixed_Context_Diffusion_CVPR_2024_paper.html
Minh Tran, Khoa Vo, Tri Nguyen, and Ngan Le,"Amodal Instance Segmentation with Diffusion Shape Prior Estimation"ACCV 2024
https://uark-aicv.github.io/AISDiff/
This study aims to develop an interactive idea-generation support system that enables users to consider the potential side effects of realizing new ideas.
In idea generation, confirmation bias often leads to an excessive focus on ``convenience,'' which can result in the oversight of unintended consequences, referred to as the ``side effects of convenience.''
To address this, we explored methods to alleviate user biases and expand perspectives through system-supported dialogue, facilitating a broader consideration of potential side effects.
The proposed system employs a stepwise idea-generation process supported by large language models (LLMs), enabling users to refine their ideas interactively.
By dividing the ideation process into distinct stages, the system mitigates biases at each stage while promoting ideas' concretization and identifying side effects through visually supported dialogues.
Preliminary evaluation suggests that engaging with the proposed system fosters awareness of diverse perspectives on potential side effects and facilitates the generation of ideas that proactively address these issues.