投稿時間:2022-02-25 14:29:20 RSSフィード2022-02-25 14:00 分まとめ(32件)

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TECH Engadget Japanese iPhoneのFace ID故障、まもなく本体交換せずに修理できるようになる噂。費用が割安に? https://japanese.engadget.com/iphone-faceid-repair-no-whole-device-replacement-043001899.html faceid 2022-02-25 04:30:01
TECH Engadget Japanese Meta社、アップルのユーザー追跡制限を「有害だ」と批判。ネット広告主がFacebookからGoogleに大移動か https://japanese.engadget.com/meta-says-app-racking-transparency-harmful-040024572.html facebook 2022-02-25 04:00:24
ROBOT ロボスタ 大阪の魅力を発信する「バーチャル大阪」2月28日から本格展開 「新市街」エリアが登場 スマホ、PCから参加可能 https://robotstart.info/2022/02/25/vr-osaka-new-town.html 大阪の魅力を発信する「バーチャル大阪」月日から本格展開「新市街」エリアが登場スマホ、PCから参加可能シェアツイートはてブKDDIは大阪府と大阪市と共に年月日から都市連動型メタバース「バーチャル大阪」を本格展開することを発表した。 2022-02-25 04:47:19
IT ITmedia 総合記事一覧 [ITmedia News] Facebook、ウクライナのユーザー向け自衛ツールを提供 https://www.itmedia.co.jp/news/articles/2202/25/news116.html facebook 2022-02-25 13:49:00
TECH Techable(テッカブル) デジタルに不慣れな中小企業のDXを支援、マネーフォワードが地域金融機関とDXポータル提供へ https://techable.jp/archives/174093 中小企業 2022-02-25 04:00:41
IT 情報システムリーダーのためのIT情報専門サイト IT Leaders 三菱ガス化学、半導体の新素材探索精度をAIで向上、探索に必要な実験時間は30~50%短縮 | IT Leaders https://it.impress.co.jp/articles/-/22763 itleaders 2022-02-25 13:40:00
AWS AWS Japan Blog Media & Entertainment 向け re: Invent 2021 / InterBEE 2021 / Siggrah Asia 2021 Recap セミナー 開催報告 https://aws.amazon.com/jp/blogs/news/jpmne-reinvent-interbee-siggraph-asia-recap-media-2021/ 国内では、月のInterBEEで、お客様に最新事例を発表いただきました。 2022-02-25 04:51:37
js JavaScriptタグが付けられた新着投稿 - Qiita Tailwind CSSでスイッチ(トグル)ボタン作ってみた https://qiita.com/derasado/items/1b5610fc355fe3760963 「after」では、疑似要素を用いて、ボタンの切り替えに使用する球体を作成しています。 2022-02-25 13:58:44
js JavaScriptタグが付けられた新着投稿 - Qiita Symbolのネームスペースを完全に理解する。 https://qiita.com/nem_takanobu/items/b9b6d58a8241728b5c9a そういった場合は、マークルパトリシアツリーを使うことでファイナライズブロックの情報が共有されていればネームスペースの正当性を検証することができます。 2022-02-25 13:25:30
Docker dockerタグが付けられた新着投稿 - Qiita WSL2に切り替えたけど、Gitが「Permission denied (publickey).」する時 https://qiita.com/matsu-motsu/items/49f7e04b5d92db27c6a6 WSLに切り替えたけど、Gitが「Permissiondeniedpublickey」する時現象WSLのUbuntuからGithubにSSH接続を試みるも。 2022-02-25 13:04:59
Git Gitタグが付けられた新着投稿 - Qiita WSL2に切り替えたけど、Gitが「Permission denied (publickey).」する時 https://qiita.com/matsu-motsu/items/49f7e04b5d92db27c6a6 WSLに切り替えたけど、Gitが「Permissiondeniedpublickey」する時現象WSLのUbuntuからGithubにSSH接続を試みるも。 2022-02-25 13:04:59
技術ブログ Developers.IO Pythonを使ってPardot APIからデータを取得してみた https://dev.classmethod.jp/articles/python-pardot-api-v5-prospect-query/ pardota 2022-02-25 04:53:12
海外TECH DEV Community Important Bionic Eye Tech Becoming Obsolete, Tech Recruitment Challenges, & more on DevNews 🗞 https://dev.to/devteam/important-bionic-eye-tech-becoming-obsolete-tech-recruitment-challenges-more-on-devnews-4b9d Important Bionic Eye Tech Becoming Obsolete Tech Recruitment Challenges amp more on DevNews “It s not enough to have social impact with your technology ーyou also have this huge responsibility to maintain your technology for the long term More on that in this week of the DevNews pod S E Lack Foresight Leads to a Loss of Sight Tech Recruitment Challenges Which Vendors Are Fastest at Fixing Bugs and More DevNews Your browser does not support the audio element x initializing × As a refresher DevNews is the news show for developers by developers Each season our hosts cover the latest in the world of tech and speak with diverse guests from a variety of backgrounds to dig deep into meaty topics such as security the pros and cons of outsourcing your authentication and the latest bugs and hacks Hosts saronyitbarek is the founder of Disco founder of CodeNewbie host of the CodeNewbie Podcast and co host of the base cs podcast joshpuetz is the Principal Software Engineer at Forem ーthe open source community software that powers DEV CodeNewbie and a growing number of other online communities Guests Pariss Athena Chandler is the Founder amp CEO of Black Tech Pipeline and creator of the hashtag movement and community BlackTechTwitter Dr Calvin Roberts is President and Chief Executive Officer of Lighthouse Guild the leading organization dedicated to providing exceptional services that inspire people who are visually impaired to attain their goals He was formerly Senior VP and Chief Medical Officer of Eye Care at Bausch Health Companies In this episode we talk about another major hack on Ukraine a report from Google s Project Zero about which tech vendors are the fastest at fixing security bugs and we also chat about injecting old computers with Chrome OS Flex Then we speak with Pariss Athena founder and CEO of Black Tech Pipeline about the challenges that tech recruiters are having in the current job landscape And finally we speak with Dr Calvin Roberts president and CEO of Lighthouse Guild International and clinical professor of ophthalmology at Weill While Cornell Medical College a charitable organization devoted to the visually impaired about the issue of certain bionic eye technologies becoming obsolete and unsupported You can follow DevNews to get episode notifications and listen right in your feed ーor subscribe on your platform of choice Plus if you leave us a review we ll send you a free pack of thank you stickers Details here Quick Listening LinksApple PodcastsSpotifyGoogleStitcherListen NotesTuneInRSS FeedDEV Pods website Acknowledgements levisharpe for producing amp mixing the show Our Season Sponsors Scout APM amp The Stack Overflow Podcast We hope you enjoy our show this week 2022-02-25 04:38:55
海外TECH DEV Community Every new programmer can't be a programmer https://dev.to/codewithshahan/every-new-programmer-cant-be-a-programmer-2o04 Every new programmer can x t be a programmerLearning to code and mastering it can take years for a beginner Most people give up before they truly get started Here is the solution In the beginning we get very excited about the concept of learning to code But later in most cases students or beginners give up quickly Because they find it difficult to continue They get stuck and they face difficulty in finding the solution for the code Learning to program isn t an overnight journey But it s also not as difficult as people think about it All it just requires is dedication passion interest and definitely patience There are so many online resources available to learn to code easily quickly and effectively ConclusionIf a single doubt ever clouds in your mind remember that every programmer this path before None of them more destined to become a developer than you Whichever path you are currently on be it college or coding BootCamp the only barrier to success is your work ethic and confidence to persevere 2022-02-25 04:37:13
海外TECH DEV Community How writing 700 articles changed my life https://dev.to/dailydevtips1/how-writing-700-articles-changed-my-life-3k8d How writing articles changed my lifeIt s been a while since I ve done one of these celebration posts The last one was when I wrote tech articles and that was back in August I write every single day Yes Saturday Sunday included People tend to think I joke when I say I do But this blog is my legacy and if you go through it you ll see it s not a joke I want to spend some time to state the why of this challenge and how far the blog has grown In the end I ll dive into what to expect Why do you write every single day This challenge started on March and to be completely honest with you it feels like it was last week This was the mark of the first lockdown in South Africa You know the ones that resulted from the Coronavirus Because of this lockdown I didn t have to travel hours a day That s quite a lot of time Enough time to learn something that s valuable for me At this point I had a semi abandoned lifestyle blog which I enjoyed writing but it just took too much effort So at that point I decided to write small byte sized technical learnings I bought a domain which funny enough was the reason to start this daily journey daily dev tips com Well I guess I have to do it daily now I m not one to focus solely on one topic Web development is what I enjoy and do in my day to day job I m not only working in React I use other excellent tools in my job So that decided the what Byte sized development tips Highly focussed on web development How do you do it So many people ask me How how do you write every single day And it s not that hard It s about forming habits It turns into going to the gym getting dressed in the morning or having dinner All things you do because you programmed yourself to do them I wrote a detailed article on consistency and how to come up with ideas effortless You might also like my article on how I spend my free time And if that s not enough I ll even tell you the secret to my writing process What have you achieved A couple of weeks ago I posted an old article where I wrote articles which sparked an idea to do somewhat of a comparison between the two articles articlesdays from start newsletter subs visitorsKK avg timess twitter The big thing about this table is that you can grow a lot this time People like to believe there is a cheat to getting this number but let me break that bubble there is not You have to put in the hard work and make it happen Note Of course these are only vanity metrics and while they are fun to see they do not even mean anything What matters most to me is some of the fantastic emails dm s etc I get from people saying they learned something that they have solved an issue or that I inspire them to write That s what matters to me What to expect in the future I mentioned this before for I want to have an unbroken streak of one article a day In I took a nine day break when I got married but this year should be an entire streak You can also expect a completely new version coming out soon As I m writing this I m hoping to launch it with this article but I might be a bit ambitious there Furthermore I hope to have some cool engagement and collaborative works with other amazing people And of course the thing you can expect most from me Daily tips to help you and me grow every single day Image by James Clear Atomic Habits Even if we grow a day we are unstoppable in our growth ConclusionWriting every day has changed my life in many ways It landed me an amazing job at daily devmade me grow by at least every dayI m meeting so many cool people every single day Besides these apparent wins it helped me become a better English writer Disclaimer still has lots of improvement It allowed me to learn about some fantastic products out there And I even became a Prisma ambassador Thank you for reading and let s connect Thank you for reading my blog Feel free to subscribe to my email newsletter and connect on Facebook or Twitter 2022-02-25 04:11:42
海外TECH DEV Community Nanofabrication (Semiconductor) Wafer Thickness Prediction Data https://dev.to/aws-builders/nanofabrication-semiconductor-wafer-thickness-prediction-data-am Nanofabrication Semiconductor Wafer Thickness Prediction Data Open Data Sets in Micro nano fabrication Part II IntroductionThe manufacturing industry is always thriving on solving interesting problems with Data and Analytics solutions Measuring the critical dimension of materials under a product line is one such problem The problem becomes interesting when the measurements are accurate and minute in nm nanometer scales The semiconductor industry has such a problem measuring thin film thickness during the manufacturing cycle It is a domain centric and Intellectual Property IP driven area due to the competitive nature of the industry There are proven solutions available and known industry leaders are there in the space like KLA and Filmetrics After many decades it is the first time a large open data set to solve the problem by the Data Science Community There was no open data set available in the industry which was not an innovation blocker There are enough research materials produced by academia and industry It was opened up The data will be beneficial in training Process Engineers and Data Analysts in Semiconductor industry problem solving Nanofabrication and ThicknessSemiconductors are the backbones of modern digital infrastructure The very industry is powered by fundamental science such as research on material sciences physics chemistry and mechanics A fair understanding of this fundamental science is required in solving Nanofabrication Semiconductor AI ML problems the industry knowledge The due natural course of evolution Information Technology IT Data and Analytics and Artificial Intelligence started complementing the field and vice versa The process of martial modification is similar to the edit distance concept in Text processing Materials are selectively added removed or modified to create minute structures under controlled environments Measuring various materials thickness is critical to improving the manufacturing yield during each stage of this sequence The thickness we discuss here is lt nm to mm thickness of human hair thick There are many processes in the Nanofabrication industry such as Physical Vapor Deposition PVD or Sputtering Etching spin coating etc To achieve the target functionality of a semiconductor chip maintaining accurate measurements in nm are a strict requirement The industry refers to this under the blanket problem Yield Improvement Once again AI or ML alone is not the silver bullet to solve the problem a harmonic collaboration of Material Scientists Process Engineers and Data Analytics professionals is required One of the key concepts from Physics to refresh to understand the data is reflectance Reflectance is the fraction of incident light reflected from a surface and it is an intrinsic property of thin films Image Reflection and refraction of light at a boundary between two media The concept is very critical in understanding the thickness data discussed here Exemplary details of the reflectance are discussed in reference and the metrology guide by Filmetrics which is worth reading for domain understanding Optical spectrum analysis is one widely used method to measure thin film thickness Domain knowledge computing resources and subject matter expertise are required to perform the operations If a subject matter expert in the loop process is adopted the measurement process is relatively time consuming Dacon Thin Film Thickness DataThe Dacon a Korean data science competition platform like Kaggle launched a Semiconductor think film thickness analysis contest Considering all the IP centric nature they abstracted the data preserving the nature of the problem The data is available on the Dacon competition page subject to terms and conditions FormatThe data was part of a competition and the organizers provided data in two comma separated value CSV files The first file was training data with four target thickness measurements and test data without the target The training file consists of k observations with attributes out of which four attributes are the thickness measurement The test data set which is meant for final submission is only k records Data AttributesThe first four attributes measure the thickness of the four layers layer through The unit of measurement is nm in scale The materials under reference for this measurement are SiN Silicon Nitrate SiO Silicon Dioxide SiN Silicon Nitride and SiO The rest of the attributes are masked values to protect IP These values are expressed as wavenumber reciprocal of wavelength The column names are and it is between to nm A plot of the random record is provided below This plot represents reflectance in y and x represents the values in the data Image Thickness data sample The Data ContextIt is always better to understand the context of data such as how it is generated measured is always essential in AI ML experiments In this process data context we are trying to predict the measurements of four layers In processes condition the bottom layer is always Si Silicon and Air in the top layer Let us find the theoretical reflectance from the four layers to understand this better I will be using the tool available from Filmetrics to get the theoretical reference range Image Theoretical reflectance range for the Dacon data record data shown above Now we can spot the similarity between the data In my original plot I reversed the after referring to the Filmetrics reference plot Since this data is the refraction of light it is essential to know the angle of incidence The angle of incidence is degrees in the data ObservationOne of the interesting observations about the data after checking the Filmetrics plot was a reversal It may not be necessary to reverse the data for the ML experiment The Dacon data was changed as part of the de identification process To confirm the same I plotted more than randomly drawn samples from the training data compared with the Filmetrics plot Missing InformationAs part of IP protection the team provided necessary details only A detailed study and additional modeling information such as the process information and machinery used to collect the data etc might have added more context to the data A Machine Learning professional will access such minute context details in a real world situation Predicting Thin Film ThicknessAfter we understand the data it is time for building some models In this data scenario there is some room for feature engineering I am leaving this for the larger reader community as I intend to introduce the data and domain I created a reference model as a starter and provided references to the GitHub repository for other implementations We use the type of regression strategy called Multi Output Regression The problem is unique as it is a regression case but predicts multiple targets Both classical and Deep Learning methodologies are very effective in solving multi output regression In my reference implementation I used the scikit learn sklearn MultiOutPutRegression API along with the XGBoost library The notebook is available at If you are interested in solutions by some of the solutions by competitions participants please refer to the following GitHub repositories I am looking forward to exciting findings and research papers from the data AcknowledgmentI am grateful to the AWS Community Builder Program for providing SageMaker and AWS credits I used AWS SageMaker for Exploratory Data Analysis and Machine Learning experiments I used Google Translate from Korean to English to understand the data and studied many community posts in the Dacon competition forum Some of the graphing insights are derived from the clarifications provided by the Dacon team and a user dodo I acknowledge the knowledge sharing by the Dacon user community which helped me create the content Competing InterestsThe authors declare that no proprietary information related to the authors affiliated company or its approach methodologies and IPR is discussed in these notes The authors declare that they have no competing interests How to Cite Jaganadh Gopinadhan Nanofabrication Semiconductor Wafer Thickness Prediction Data Open Data Sets in Micro nano fabrication Part II References Reflectance in Thin Films Thin Film Measurements Machine learning Refined overview 2022-02-25 04:02:36
金融 JPX マーケットニュース [東証]上場廃止等の決定:(株)NIPPO https://www.jpx.co.jp/news/1023/20220225-11.html nippo 2022-02-25 13:10:00
金融 ニッセイ基礎研究所 近づく米「雇用の最大化」目標達成-雇用の回復は持続。労働需給の逼迫継続から、賃金上昇圧力は当面高止まりへ https://www.nli-research.co.jp/topics_detail1/id=70358?site=nli nbsp目次はじめに労働市場の回復状況雇用者数、失業率雇用の回復基調が持続、失業率は新型コロナ流行前の水準が視野にオミクロン株の影響コロナ原因の非就業者数は大幅に増加も雇用者数への影響は限定的労働需要求人数、企業の採用意欲ともに堅調が持続労働供給足元で回復加速の兆しも回復は緩やか時間当たり賃金労働需給の逼迫から名目賃金は大幅上昇も、実質ベースではマイナスFOMC参加者による労働市場の評価多くの参加者は既に「雇用の最大化」目標達成と判断今後の見通し・労働供給は緩やかに回復も、労働需給の逼迫から当面賃金は高止まりへ米国の労働市場は新型コロナの影響で年春先に大幅な落ち込みを示した後、年月以降は回復基調が持続している。 2022-02-25 13:43:21
金融 ニッセイ基礎研究所 中国経済の見通し-党大会を控える2022年は5%台の安定成長 https://www.nli-research.co.jp/topics_detail1/id=70347?site=nli 投資はマイナス寄与に転じ経済成長の足かせとなっており、不動産開発投資は底割れする恐れもあるが、前述した「両新一重」などインフラ投資が底打ちし、製造業も消費向けの投資を増やすと見込むことから、投資全体では低位ながらも底堅い伸びを予想している。 2022-02-25 13:21:40
金融 日本銀行:RSS (日銀レビュー)LIBOR公表停止後のドル調達プレミアムのモニタリングにおける留意点について http://www.boj.or.jp/research/wps_rev/rev_2022/rev22j03.htm libor 2022-02-25 14:00:00
金融 日本銀行:RSS 2021年度金融知識普及功績者表彰 http://www.boj.or.jp/announcements/release_2022/rel220225a.pdf Detail Nothing 2022-02-25 14:00:00
ニュース ジェトロ ビジネスニュース(通商弘報) スペイン、ウクライナ情勢受けエネルギー価格高騰の長期化を強く懸念 https://www.jetro.go.jp/biznews/2022/02/dc68d474112e26dd.html 高騰 2022-02-25 04:35:00
ニュース ジェトロ ビジネスニュース(通商弘報) ウクライナ情勢が中央アジア周辺の物流に影響 https://www.jetro.go.jp/biznews/2022/02/6e25526ef84d83e8.html 中央アジア 2022-02-25 04:25:00
ニュース ジェトロ ビジネスニュース(通商弘報) バイデン米政権、第2弾の対ロ制裁発表、追加の金融制裁と輸出管理が柱 https://www.jetro.go.jp/biznews/2022/02/001ed0671643e2c4.html 金融制裁 2022-02-25 04:15:00
ニュース ジェトロ ビジネスニュース(通商弘報) 映画産業は新型コロナ禍前の水準に回復せず、新分野での巻き返しに期待 https://www.jetro.go.jp/biznews/2022/02/d32f009776846b21.html 巻き返し 2022-02-25 04:05:00
ニュース BBC News - Home Ukraine invasion: Charities urge UK to welcome thousands of refugees https://www.bbc.co.uk/news/uk-60518801?at_medium=RSS&at_campaign=KARANGA warns 2022-02-25 04:19:22
ビジネス ダイヤモンド・オンライン - 新着記事 EU、対ロ追加制裁発表 銀行システムやエネルギー分野など対象 - WSJ発 https://diamond.jp/articles/-/297440 追加制裁 2022-02-25 13:25:00
北海道 北海道新聞 1月来道者数、コロナ禍前の54% 感染再拡大で移動需要減 https://www.hokkaido-np.co.jp/article/649774/ 観光振興 2022-02-25 13:16:13
北海道 北海道新聞 感染長期化で「医療危機に直面」 BA・2、東京で30人確認 https://www.hokkaido-np.co.jp/article/649777/ 新型コロナウイルス 2022-02-25 13:17:00
北海道 北海道新聞 男子テニス、西岡は準々決勝敗退 メキシコOP、メドベージェフに https://www.hokkaido-np.co.jp/article/649776/ 準々決勝 2022-02-25 13:17:00
IT 週刊アスキー 8K3Dコンテンツを体験しに行こう! クイーンズスクエアにて「8Kシアター in クイーンズスクエア横浜」3月5日上映 https://weekly.ascii.jp/elem/000/004/084/4084467/ 横浜みなとみらいホール 2022-02-25 13:40:00
IT 週刊アスキー 要望や感想を送ろう!『BD ブリリアントライツ』プレイヤーアンケートを実施中 https://weekly.ascii.jp/elem/000/004/084/4084468/ 配信 2022-02-25 13:25:00

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