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artificial_intelligenceに関するエントリは56件あります。 AI機械学習人工知能 などが関連タグです。 人気エントリには 『GitHub - microsoft/muzic: Muzic: Music Understanding and Generation with Artificial Intelligence』などがあります。
  • GitHub - microsoft/muzic: Muzic: Music Understanding and Generation with Artificial Intelligence

    Muzic is a research project on AI music that empowers music understanding and generation with deep learning and artificial intelligence. Muzic is pronounced as [ˈmjuːzeik]. Besides the logo in image version (see above), Muzic also has a logo in video version (you can click here to watch ). Muzic was started by some researchers from Microsoft Research Asia and also contributed by outside collaborat

      GitHub - microsoft/muzic: Muzic: Music Understanding and Generation with Artificial Intelligence
    • 【記事更新】私のブックマーク「反実仮想機械学習」(Counterfactual Machine Learning, CFML) – 人工知能学会 (The Japanese Society for Artificial Intelligence)

      Home » リソース » 私のブックマーク » 【記事更新】私のブックマーク「反実仮想機械学習」(Counterfactual Machine Learning, CFML) 反実仮想機械学習(Counterfactual Machine Learning, CFML)齋藤 優太(東京工業大学) はじめに機械学習の応用において,反実仮想(Counterfactual)─起こり得たけれども実際には起こらなかった状況─についての情報が得られるとうれしい場面が多くある.例えば,「今動いている推薦アルゴリズムを仮に別のアルゴリズムに変えたときにコンバージョン率はどれくらいになるだろうか?」や「あるユーザに仮にクーポンを与えた場合に離反率はどれくらい減少するだろうか?」などの実務現場でよくある問いに答えるためには,反実仮想についての情報を知る必要がある. 反実仮想機械学習(CFML)とは,因果効果

      • AI Index Report 2024 – Artificial Intelligence Index

        Welcome to the seventh edition of the AI Index report. The 2024 Index is our most comprehensive to date and arrives at an important moment when AI’s influence on society has never been more pronounced. This year, we have broadened our scope to more extensively cover essential trends such as technical advancements in AI, public perceptions of the technology, and the geopolitical dynamics surroundin

        • PatternedAI - Seamless Pattern Maker with Artificial Intelligence

          Guaranteed seamless patternsGenerate repeatable, unique patterns in seconds for any surface without any visible seams Turn text into unique, royalty-free patternsDescribe what you want to start generating your own patterns

          • 【お知らせ】AIトレンド・トップカンファレンス報告(NeurIPS2019)の無料オンライン公開について – 人工知能学会 (The Japanese Society for Artificial Intelligence)

            AIトレンド・トップカンファレンス報告(NeurIPS2019)の無料オンライン公開について人工知能学会 企画委員会 全体概要 人工知能に関する最新の研究開発動向をお届けすべく、AIトップカンファレンス報告会を継続的に開催してきました。今回、NeurIPS 2019 (Thirty-third Conference on Neural Information Processing Systems、2019年12月8日 – 14日、バンクーバー) にレポータを派遣し、3月に報告会を開催予定でしたが、新型コロナウイルス感染症に関わる事情から、報告会を中止しました。一方、報告内容に関する関心は高く、多数の問い合わせを頂いておりました。この度、3件の講演に関して、オンライン公開の準備が整いましたので、スライド資料と、報告者による音声付きスライド映像を、無料で公開いたします。 公開終了日:6月23日

            • 【記事更新】私のブックマーク「言語処理分野におけるAdversarial Example」 – 人工知能学会 (The Japanese Society for Artificial Intelligence)

              佐藤 元紀 (株式会社Preferred Networks) はじめに ニューラルネットワークは、時として僅かな入力の違いによって大きく異なる挙動になることが知られています。 図1 画像分野におけるAdversarial Example の(出典 : [Goodfellow et al.]より抜粋) 有名な例に [Goodfellow et al.] の図1があります。 左側の画像 x に対して、微小なノイズ(Adversarial Perturbation; 敵対的摂動)を足し合わせた結果が、右側の画像になっています。 左側の画像をCNNによる画像認識器に入力した時には正しく「パンダ (“panda”)」と予測されるものの、右側の画像を入力すると「テナガザル (“gibbon”)」と予測されています。 同じ見た目の画像にもかかわらず、ニューラルネットワークが誤認識するこのような事例は A

              • 【記事更新】私のブックマーク「説明可能AI」(Explainable AI) – 人工知能学会 (The Japanese Society for Artificial Intelligence)

                説明可能AI(Explainable AI)原 聡(大阪大学産業科学研究所) はじめに2018年に本誌5 月号(Vol. 33, No. 3, pp. 366-369)の”私のブックマーク”に「機械学習における解釈性」という記事を書いた。前記事の執筆から1年が経ち、機械学習モデルの解釈・説明技術を取り巻く社会的な情勢の変化や新たな研究の発展など、数多くの進展があった。本記事はこれら近年の変化・進展についてまとめた、上記の”私のブックマーク”の続編である。本記事を読む前に、まずは上記の前記事をご一読いただきたい。 用語について本記事では、機械学習モデルの出力に加えて、その出力を補助する追加の情報(モデルの解釈、判断根拠の説明、など)を出力する技術一般および研究分野全体を指す用語としてXAI(Explainable AI, 説明可能AI)を用いる。XAIはアメリカの国防高等研究計画局(DARP

                • GitHub - yousefebrahimi0/1000-AI-collection-tools: More than 1000 Artificial Intelligence AI-powered tools - categorized & updated

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                    GitHub - yousefebrahimi0/1000-AI-collection-tools: More than 1000 Artificial Intelligence AI-powered tools - categorized & updated
                  • Artificial Intelligence Risk Management Framework (AI RMF 1.0)

                    NIST AI 100-1 Artificial Intelligence Risk Management Framework (AI RMF 1.0) NIST AI 100-1 Artificial Intelligence Risk Management Framework (AI RMF 1.0) This publication is available free of charge from: https://doi.org/10.6028/NIST.AI.100-1 January 2023 U.S. Department of Commerce Gina M. Raimondo, Secretary National Institute of Standards and Technology Laurie E. Locascio, NIST Director and Und

                    • Daichi Konno / 紺野 大地 on Twitter: "DeepLで「PDFの翻訳」ができるようになっています!歓喜!! 試しに、デミス・ハサビスのレビュー論文 "Neuroscience-Inspired Artificial Intelligence" を訳したのが、添付画像です… https://t.co/Jw57LXfxwL"

                      DeepLで「PDFの翻訳」ができるようになっています!歓喜!! 試しに、デミス・ハサビスのレビュー論文 "Neuroscience-Inspired Artificial Intelligence" を訳したのが、添付画像です… https://t.co/Jw57LXfxwL

                        Daichi Konno / 紺野 大地 on Twitter: "DeepLで「PDFの翻訳」ができるようになっています!歓喜!! 試しに、デミス・ハサビスのレビュー論文 "Neuroscience-Inspired Artificial Intelligence" を訳したのが、添付画像です… https://t.co/Jw57LXfxwL"
                      • A Right to Warn about Advanced Artificial Intelligence

                        We are current and former employees at frontier AI companies, and we believe in the potential of AI technology to deliver unprecedented benefits to humanity. We also understand the serious risks posed by these technologies. These risks range from the further entrenchment of existing inequalities, to manipulation and misinformation, to the loss of control of autonomous AI systems potentially result

                        • Welcome to the Artificial Intelligence Incident Database

                          A high school athletic director in the Baltimore area was arrested on Thursday after the police said he used artificial intelligence software to manufacture a racist and antisemitic audio clip that impersonated the school's principal. Dazho…

                            Welcome to the Artificial Intelligence Incident Database
                          • Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

                            In the last years, Artificial Intelligence (AI) has achieved a notable momentum that may deliver the best of expectations over many application sectors across the field. For this to occur, the entire community stands in front of the barrier of explainability, an inherent problem of AI techniques brought by sub-symbolism (e.g. ensembles or Deep Neural Networks) that were not present in the last hyp

                            • All Things AI - The Complete Resource Of Artificial Intelligence Tools & Services

                              Discover the best tools, services and resources at the forefront of AI.

                                All Things AI - The Complete Resource Of Artificial Intelligence Tools & Services
                              • Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy

                                Research Use of artificial... Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy Research Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy BMJ 2021; 374 doi: https://doi.org/10.1136/bmj.n1872 (Published 02 September 2021) Cite this as: BMJ 2021;374:n18

                                  Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy
                                • Hallucination (artificial intelligence) - Wikipedia

                                  A screenshot from a video generated by artificial intelligence Sora. The image contains a mistake: it shows the Glenfinnan Viaduct, a famous bridge, but with an extra train track added that isn't there in reality. The train itself looks like a real train called the Jacobite train, but it has an extra chimney that shouldn't be there. In the field of artificial intelligence (AI), a hallucination or

                                    Hallucination (artificial intelligence) - Wikipedia
                                  • 【記事更新】私のブックマーク「第一言語獲得から考える人工知能」 – 人工知能学会 (The Japanese Society for Artificial Intelligence)

                                    折田 奈甫(早稲田大学理工学術院) 1.はじめに 深層学習の発展は素晴らしいが,第一言語獲得を研究する言語学者としては「ちょっと待った!」と言いたくなる瞬間がある.例えば,以下のような発言や記述を研究発表や論文などで見聞きすることが増えた. 深層学習のように人間も大量のデータから統計的に学習しているのではないか.刺激の貧困は存在せず,生得的知識など必要ない.子供は白紙の状態から,あるいは最小限の非言語的知識・能力を使って,言葉を大量に聞いて覚えて話せるようになる. 脳についてはわかっていないことが多いので,深層学習を使ったリバースエンジニアリング的な認知科学の研究があってもいいのでは. ニューラルネットワークは神経科学的に妥当なモデルである.そのうえ,人間が行うような情報処理タスクにおいて高い汎用性と学習能力を示している.ニューラルネットワークは人間の認知メカニズムとして妥当な仮説なのでは

                                    • GitHub - EthicalML/awesome-artificial-intelligence-guidelines: This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

                                      AI & Machine Learning 8 principles for Responsible ML - The Institute for Ethical AI & Machine Learning has put together 8 principles for responsible machine learning that are to be adopted by individuals and delivery teams designing, building and operating machine learning systems. An Evaluation of Guidelines - The Ethics of Ethics - A research paper that analyses multiple Ethics principles Assoc

                                        GitHub - EthicalML/awesome-artificial-intelligence-guidelines: This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
                                      • GitHub - AMAI-GmbH/AI-Expert-Roadmap: Roadmap to becoming an Artificial Intelligence Expert in 2022

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                                          GitHub - AMAI-GmbH/AI-Expert-Roadmap: Roadmap to becoming an Artificial Intelligence Expert in 2022
                                        • 【会誌発行】人工知能学会誌 Vol.36 No.5 (2021/9) – 人工知能学会 (The Japanese Society for Artificial Intelligence)

                                          巻頭言 JSAI 2021 を終えて …………………………………………………………………………………………………………………… 松下 光範 541 アーティクル 長尾 真先生を追悼する ─研究者,そして研究コミュニティの鑑として─ ………………………………………………………………………… 野田 五十樹 542 長尾 真先生を偲ぶ ………………………………………………………………………………………………………………… 安西 祐一郎 543 ふあっと包み込む知性の人 ………………………………………………………………………………………………………… 金出 武雄 544 長尾先生と言語処理 ………………………………………………………………………………………………………………… 辻井 潤一 545 人工知能の未来を見通していたパイオニアとしての長尾先生 ……………………………………………………………

                                          • Artificial Intelligence Confronts a 'Reproducibility' Crisis

                                            A few years ago, Joelle Pineau, a computer science professor at McGill, was helping her students design a new algorithm when they fell into a rut. Her lab studies reinforcement learning, a type of artificial intelligence that’s used, among other things, to help virtual characters (“half cheetah” and “ant” are popular) teach themselves how to move about in virtual worlds. It’s a prerequisite to bui

                                              Artificial Intelligence Confronts a 'Reproducibility' Crisis
                                            • FACT SHEET: Biden-Harris Administration Secures Voluntary Commitments from Leading Artificial Intelligence Companies to Manage the Risks Posed by AI | The White House

                                              FACT SHEET: Biden-⁠Harris Administration Secures Voluntary Commitments from Leading Artificial Intelligence Companies to Manage the Risks Posed by AI Voluntary commitments – underscoring safety, security, and trust – mark a critical step toward developing responsible AI Biden-Harris Administration will continue to take decisive action by developing an Executive Order and pursuing bipartisan legisl

                                                FACT SHEET: Biden-Harris Administration Secures Voluntary Commitments from Leading Artificial Intelligence Companies to Manage the Risks Posed by AI | The White House
                                              • 【記事更新】私のブックマーク「人工知能と公平性」 – 人工知能学会 (The Japanese Society for Artificial Intelligence)

                                                神嶌 敏弘(産業技術総合研究所) 1.は じ め に ここでは,人工知能,特に機械学習の公平性に関する情報を紹介する.こうした分野は公平性配慮型機械学習(Fairness-aware Machine Learning)などと呼ばれている.人工知能倫理(Artificial Intelligence and Ethics)や公平性配慮型機械学習では,公平性,差別,中立性,独立性などの潜在的な問題を考慮しつつデータ分析を行う. アメリカで公民権法が 1964年に成立して以来,公平性の検証に統計学は幅広く活用されてきた.これらは主に検定を用いて,人間による過去の決定が公平であったかを検証するもので,裁判などでも利用されてきた.その後,検証ではなく予測を行う機械学習も,与信・採用・入試などに利用されるようになったことをふまえ,2010年頃から予測の公平性の研究も始まった.そして,2016年の欧州で

                                                • Arxiv Visual Directory (Artificial Intelligence)

                                                  Welcome to Arxiv Visual Directory (Artificial Intelligence)

                                                  • Federal Register | Copyright Registration Guidance: Works Containing Material Generated by Artificial Intelligence | A Rule by the Copyright Office, Library of Congress on 03/16/2023

                                                    Due to aggressive automated scraping of FederalRegister.gov and eCFR.gov, programmatic access to these sites is limited to access to our extensive developer APIs. If you are human user receiving this message, we can add your IP address to a set of IPs that can access FederalRegister.gov & eCFR.gov; complete the CAPTCHA (bot test) below and click "Request Access". This process will be necessary for

                                                    • FACT SHEET: President Biden Issues Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence | The White House

                                                      FACT SHEET: President Biden Issues Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence Today, President Biden is issuing a landmark Executive Order to ensure that America leads the way in seizing the promise and managing the risks of artificial intelligence (AI). The Executive Order establishes new standards for AI safety and security, protects Americans’ privacy, advances equ

                                                        FACT SHEET: President Biden Issues Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence | The White House
                                                      • 【記事更新】私のブックマーク「深層ベイズ学習と音環境理解」 – 人工知能学会 (The Japanese Society for Artificial Intelligence)

                                                        坂東 宜昭(産業技術総合研究所, https://ybando.jp/) 1.は じ め に 非線形写像を効率的に学習できる深層学習は,音声認識・音イベント検出や音響信号処理でも圧倒的な性能を達成している.特に,雑踏下での読上げ音声認識やホームパーティでの口語音声認識,日常・市街地での音イベント検出などは,国際技術評価会も開催され活発に研究されている.また信号処理においても,不要な雑音を除去する音声強調や,複数話者の同時発話から個別の音声を抽出する音声分離,多種多様な音イベントの分離などで,目覚ましい発展を遂げている. 多くの深層学習に基づく枠組みでは,非線形写像の入力と出力を定義するために教師付きデータを必要とする.そのため,“教師データに含まれない未知環境では性能が劣化 ”したり,“十分な量の教師データを収集するには膨大なコストが必要 ”だったりといった課題が存在する.特に,日常環境の

                                                        • IngestAI.io – The AI Trained on Your Business – Artificial Intelligence Powered Knowledge Base

                                                          AI Model Selection IngestAI provides a turn-key service tailored for AI builders seeking to optimize AI application development. We identify the model best-suited for your needs, ensuring it is designed for high performance and reliability. IngestAI utilizes Deepmark AI, our proprietary software solution, to minimize the time required to identify and deploy the most effective AI solutions. Data Pr

                                                            IngestAI.io – The AI Trained on Your Business – Artificial Intelligence Powered Knowledge Base
                                                          • Amazon Intros AWS DeepComposer, A New Platform For Artificial Intelligence & Music Composition – Synthtopia

                                                            Amazon today introduced AWS DeepComposer, described as “the world’s first machine learning-enabled musical keyboard for developers.” While machine learning/artificial intelligence has already been used in the development of electronic instruments like the Mutable Instruments Grids drum sequencer and Roland’s new Jupiter-X keyboards, DeepComposer is designed to open the door to broader application

                                                              Amazon Intros AWS DeepComposer, A New Platform For Artificial Intelligence & Music Composition – Synthtopia
                                                            • Inside OpenAI’s Crisis Over the Future of Artificial Intelligence

                                                              Around noon on Nov. 17, Sam Altman, the chief executive of OpenAI, logged into a video call from a luxury hotel in Las Vegas. He was in the city for its inaugural Formula 1 race, which had drawn 315,000 visitors including Rihanna and Kylie Minogue. Mr. Altman, who had parlayed the success of OpenAI’s ChatGPT chatbot into personal stardom beyond the tech world, had a meeting lined up that day with

                                                                Inside OpenAI’s Crisis Over the Future of Artificial Intelligence
                                                              • Foundation models for generalist medical artificial intelligence - Nature

                                                                Foundation models—the latest generation of AI models—are trained on massive, diverse datasets and can be applied to numerous downstream tasks1. Individual models can now achieve state-of-the-art performance on a wide variety of problems, ranging from answering questions about texts to describing images and playing video games2,3,4. This versatility represents a stark change from the previous gener

                                                                  Foundation models for generalist medical artificial intelligence - Nature
                                                                • Artificial Intelligence in Healthcare Market Size to Hit USD 12.22 Billion by 2030 at 51.9% CAGR – Report by Market Research Future (MRFR)

                                                                  Artificial Intelligence in Healthcare Market Size to Hit USD 12.22 Billion by 2030 at 51.9% CAGR – Report by Market Research Future (MRFR) Artificial Intelligence in Healthcare Market Trends and Insights By Component (Hardware, Software, Services), Application (Robot-Assisted Surgery, Virtual Nursing Assistant, Dosage Error Reduction, Clinical Trial, Preliminary Diagnosis, Automated Image Diagnosi

                                                                    Artificial Intelligence in Healthcare Market Size to Hit USD 12.22 Billion by 2030 at 51.9% CAGR – Report by Market Research Future (MRFR)
                                                                  • Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks

                                                                    Large language models (LLMs) are remarkable data annotators. They can be used to generate high-fidelity supervised training data, as well as survey and experimental data. With the widespread adoption of LLMs, human gold--standard annotations are key to understanding the capabilities of LLMs and the validity of their results. However, crowdsourcing, an important, inexpensive way to obtain human ann

                                                                    • Advanced Artificial Intelligence API

                                                                      NLP Cloud is an artificial intelligence platform that allows you to use the most advanced AI engines, and even train your own engines with your own data. This platform is focused on data privacy by design so you can safely use AI in your business without compromising confidentiality, and even deploy our AI models on-premise / at the edge. We offer both small specific AI engines and large cutting-e

                                                                      • 【記事更新】私のブックマーク「センサを用いた行動認識」 – 人工知能学会 (The Japanese Society for Artificial Intelligence)

                                                                        井上 創造(九州工業大学) 1.センサ行動認識の研究論文は190 万件以上! 近年,スマートフォンをはじめとする携帯デバイスが爆発的に普及しましたが,スマートフォンの中には,半導体集積技術を使ってセンサなどの機械部品をつくるMEMS(Micro Electro Mechanical Systems)技術の実用化のおかげで,すでにいろいろなセンサが搭載されています.例えば,ばねの変化を測る三軸加速度センサや,振動する物体が回転するときにかかるコリオリ力を測る角速度センサ(ジャイロセンサともいう)といったものです.このように簡単に誰もが使うようになった,身につけることができる(ウェアラブル)センサ,または環境に設置されたセンサから,「歩いている」,「自転車に乗っている」といった人間の行動を認識する技術が,“ センサ行動認識技術” であり,IoT(Internet of Things)時代に活用

                                                                        • Kazuo Ishiguro Uses Artificial Intelligence to Reveal the Limits of Our Own

                                                                          In “Klara and the Sun,” a robot caretaker tries to come to grips with the anguishing injustice of a dying child.Illustration by Deena So’Oteh In the early nineteen-eighties, when Kazuo Ishiguro was starting out as a novelist, a brief craze called Martian poetry hit our literary planet. It was launched by Craig Raine’s poem “A Martian Sends a Postcard Home” (1979). The poem systematically deploys t

                                                                            Kazuo Ishiguro Uses Artificial Intelligence to Reveal the Limits of Our Own
                                                                          • Artificial intelligence model detects asymptomatic Covid-19 infections through cellphone-recorded coughs

                                                                            Asymptomatic people who are infected with Covid-19 exhibit, by definition, no discernible physical symptoms of the disease. They are thus less likely to seek out testing for the virus, and could unknowingly spread the infection to others. But it seems those who are asymptomatic may not be entirely free of changes wrought by the virus. MIT researchers have now found that people who are asymptomatic

                                                                              Artificial intelligence model detects asymptomatic Covid-19 infections through cellphone-recorded coughs
                                                                            • Demystifying the Famous Buzzwords: Data Science, Artificial Intelligence and Machine Learning

                                                                              Artificial Intelligence (AI), Machine Learning (ML), and Data Science are very common keywords that we use worldwide today. Irrespective of the profession pursued, these keywords are common across all the domains. Newspapers are covered with articles related to data science or AI on a day-to-day basis. Every day, there is news talking about the advancements in these fields. Technology is revolutio

                                                                                Demystifying the Famous Buzzwords: Data Science, Artificial Intelligence and Machine Learning
                                                                              • Global Publishing and Journalism Organizations Unite to Release Comprehensive Global Principles for Artificial Intelligence

                                                                                Global Publishing and Journalism Organizations Unite to Release Comprehensive Global Principles for Artificial Intelligence 2023-09-06. Twenty-six organizations representing thousands of creative professionals around the world, including news, entertainment, magazine, and book publishing companies and the academic publishing sector, released Global Principles for Artificial Intelligence. A first o

                                                                                  Global Publishing and Journalism Organizations Unite to Release Comprehensive Global Principles for Artificial Intelligence
                                                                                • 【記事更新】私のブックマーク「擬人化メディアとHuman-Agent Interaction:「情熱」のあるやり取りを目指して」 – 人工知能学会 (The Japanese Society for Artificial Intelligence)

                                                                                  Home » リソース » 私のブックマーク » 【記事更新】私のブックマーク「擬人化メディアとHuman-Agent Interaction:「情熱」のあるやり取りを目指して」 米澤 朋子(関西大学総合情報学部,(株)国際電気通信基礎技術研究所深層インタラクション総合研究所) 目次 はじめに 擬人化メディアとは <導入> 擬人化メディアの位置付けと現状 <夢・社会的影響> 擬人化 擬人化の起源としくみの理論 志向姿勢 アニマシー知覚と不気味の谷 心の知覚と身体(生理) 共感と擬人化 擬人化システムの構成 身体性としての外観(表出機構) 知能(内部/AIデザイン) フィールド応用と発展、製品 HAIにおける状況 他分野との相互作用、およびHAI研究の体系化の難しさ HAIにおける課題 HAIに関連する学術コミュニティ 会議系 その他国内会議や研究会などローカル系 研究プロジェクト・組織系

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