| IT |
気になる、記になる… |
Nothing、｢Ear (2)｣向けに最新アップデート｢v1.0.1.88｣をリリース − ANCや音質などを改善 |
https://taisy0.com/2023/04/18/170770.html
|
nothing |
2023-04-18 09:38:28 |
| IT |
ITmedia 総合記事一覧 |
[ITmedia ビジネスオンライン] ヤマト運輸、配達を「翌日」→「翌々日」に 一部地域で変更 狙いは？ |
https://www.itmedia.co.jp/business/articles/2304/18/news185.html
|
itmedia |
2023-04-18 18:50:00 |
| IT |
ITmedia 総合記事一覧 |
[ITmedia News] 大阪名物「くいだおれ太郎」、ヤマハとエンドースメント契約 アーティストの仲間入り |
https://www.itmedia.co.jp/news/articles/2304/18/news182.html
|
itmedia |
2023-04-18 18:34:00 |
| IT |
ITmedia 総合記事一覧 |
[ITmedia News] 「シン・仮面ライダーチップス」未発表の第二弾をフライング販売 カルビーが謝罪 |
https://www.itmedia.co.jp/news/articles/2304/18/news165.html
|
itmedia |
2023-04-18 18:31:00 |
| IT |
ITmedia 総合記事一覧 |
[ITmedia News] Google、AI採用の誰でも参加できるサンゴ礁保護プロジェクト始動 「魚の音がしたらクリック」 |
https://www.itmedia.co.jp/news/articles/2304/18/news180.html
|
callinginourcorals |
2023-04-18 18:21:00 |
| IT |
ITmedia 総合記事一覧 |
[ITmedia Mobile] 楽天モバイル、法人向けにiPhoneを販売開始 iPhone SE（第3世代）が約6.3万円から |
https://www.itmedia.co.jp/mobile/articles/2304/18/news178.html
|
iphone |
2023-04-18 18:20:00 |
| IT |
ITmedia 総合記事一覧 |
[ITmedia ビジネスオンライン] YouTube再生数ランキング 3位「King & Prince」、2位「Snow Man」、1位は？ |
https://www.itmedia.co.jp/business/articles/2304/18/news171.html
|
digitalcreators |
2023-04-18 18:20:00 |
| IT |
ITmedia 総合記事一覧 |
[ITmedia ビジネスオンライン] 24卒学生が働きたい会社はどこ？ 各業界のトップ3を見る |
https://www.itmedia.co.jp/business/articles/2304/18/news175.html
|
itmedia |
2023-04-18 18:13:00 |
| IT |
ITmedia 総合記事一覧 |
[ITmedia News] 24年卒「機械・電気・情報系」学生に聞く人気企業 3位Sky、2位三菱重工 1位は？ マイナビ・日経調べ |
https://www.itmedia.co.jp/news/articles/2304/18/news179.html
|
itmedia |
2023-04-18 18:07:00 |
| TECH |
Techable（テッカブル） |
まるでペンのように握って操作できるBluetoothペン型マウスが気になる！ |
https://techable.jp/archives/203386
|
bluetooth |
2023-04-18 09:00:34 |
| AWS |
AWS - Japan |
第二十八回 ちょっぴりDD - Amazon Kendra による文書からの日本語セマンティック検索 |
https://www.youtube.com/watch?v=iFqe0lDEq4w
|
第二十八回ちょっぴりDDAmazonKendraによる文書からの日本語セマンティック検索第回年月日ちょっぴりDD月のテーマは「ML」です。 |
2023-04-18 09:04:24 |
| js |
JavaScriptタグが付けられた新着投稿 - Qiita |
Firebase App Checkでアプリを保護する 悪意のあるアプリからの攻撃もやってみた |
https://qiita.com/yuta-katayama-23/items/e071e167caef2e2f780e
|
cloudfirest |
2023-04-18 18:11:14 |
| Docker |
dockerタグが付けられた新着投稿 - Qiita |
[有料級] Rails7(Turbo), Docker, Bootstrap5を使ったtodoリストの作り方第1章-5(Todoリスト削除編) |
https://qiita.com/streasure0426/items/e103a62dc91e619a06e2
|
railsturbodocker |
2023-04-18 18:26:43 |
| Ruby |
Railsタグが付けられた新着投稿 - Qiita |
[有料級] Rails7(Turbo), Docker, Bootstrap5を使ったtodoリストの作り方第1章-5(Todoリスト削除編) |
https://qiita.com/streasure0426/items/e103a62dc91e619a06e2
|
railsturbodocker |
2023-04-18 18:26:43 |
| 技術ブログ |
Mercari Engineering Blog |
【書き起こし】Merpay QA Talk 〜メルペイQAのリアルと本音〜 #merpay_qatalk |
https://engineering.mercari.com/blog/entry/20230414-6280276ef0/
|
hellip |
2023-04-18 10:00:31 |
| 技術ブログ |
Developers.IO |
[Amazon Linux 2023版] DHCP option setsで設定したDNSサーバー以外のDNSサーバーを指定する方法 |
https://dev.classmethod.jp/articles/amazon-linux-2023-static-dns/
|
amazon |
2023-04-18 09:50:36 |
| 技術ブログ |
Developers.IO |
データベースのサブアイテムトグルをフィルタを活用してページアクセス時に自動全公開してみる #Notion |
https://dev.classmethod.jp/articles/auto-open-toggle-when-notion-access/
|
notion |
2023-04-18 09:41:50 |
| 技術ブログ |
Developers.IO |
スケーラブルなメッセージング – Momento Topics |
https://dev.classmethod.jp/articles/momento-topics-introduction/
|
momento |
2023-04-18 09:28:43 |
| 海外TECH |
DEV Community |
Code-Collab |
https://dev.to/harshilshah99/code-collab-2l5n
|
Code CollabCodeCollab is a web solution that allows multiple users to code together in real time and you can also run and save the code file with a chat feature for easy communication and support for multiple languages and CodeGPT for solving any programming related queries FlowchartFeaturesRealtime code editingCode in multiple languagesSave your codeRun your codeCodeGPTChat with the users in the roomTech StackFrontend ReactJs Socket IO BootstrapBackend NodeJs ExpressAPI Open AI APIHosting RenderLink |
2023-04-18 09:50:12 |
| 海外TECH |
DEV Community |
Mastering Time Complexity in Ruby: A Comprehensive Guide with Code Examples and Tests |
https://dev.to/daviducolo/mastering-time-complexity-in-ruby-a-comprehensive-guide-with-code-examples-and-tests-3mnd
|
Mastering Time Complexity in Ruby A Comprehensive Guide with Code Examples and TestsCoding time complexity is an essential concept in computer science that measures the amount of time it takes a particular algorithm to execute It is important to understand time complexity especially when developing software applications that require efficient and fast processing of large amounts of data In this article we will explore time complexity and its relationship to the Ruby programming language Ruby is a dynamic high level programming language used for web development scripting and general purpose programming It is known for its readability and simplicity Ruby also provides a rich set of data structures and algorithms optimized for efficient execution However understanding time complexity is critical when implementing algorithms in Ruby to ensure that the application runs smoothly and efficiently Time complexity is typically measured using the Big O notation Big O notation describes the upper bound on the execution time of an algorithm in terms of its input size For example an algorithm with a time complexity of O n means that the execution time grows linearly with the size of the input data Example Constant time complexityConstant time complexity denoted by O is the most efficient type of time complexity where the time required to execute an algorithm does not depend on the size of the input data This means that the execution time remains the same regardless of whether the input data is small or large In the context of programming constant time complexity is achieved when an algorithm performs the same number of operations regardless of the size of the input data This is often achieved by using built in data structures or optimizing algorithms to perform specific tasks in constant time Example Constant Time Complexity Returns the first element of an array in constant timedef get first element arr arr firstend Usagearr puts get first element arr Outputs In this example we have a simple method get first element that returns the first element of an array Since the method only accesses the first element of the array and does not depend on the size of the array it has a constant time complexity of O We can use this method with any array regardless of its size and it will always execute in constant time For example if we have an array with elements this method will still execute in constant time making it very efficient for large datasets In practice constant time complexity is ideal but not always achievable for every algorithm However by using built in Ruby methods and data structures we can often achieve constant time complexity and build efficient applications Example Linear Time ComplexityIn this example we will demonstrate an algorithm with a time complexity of O n which means that the execution time grows linearly with the size of the input data We will use Ruby s built in each method to iterate over an array and print each element def print array array array each do element puts element endend Test the functionarray print array array n this code the print array function takes an array as an input and iterates over each element using the each method The execution time of this algorithm grows linearly with the size of the input array If the input array has n elements the algorithm will take O n time to execute Example Logarithmic Time ComplexityIn this example we will demonstrate an algorithm with a time complexity of O log n which means that the execution time grows logarithmically with the size of the input data We will use binary search to find a specific element in a sorted array def binary search array value low high array length while low lt high mid low high if array mid value return mid elsif array mid lt value low mid else high mid end end return end Test the functionarray puts binary search array In this code the binary search function takes a sorted array and a value to search for as inputs The algorithm uses the binary search approach to search for the value in the array The binary search algorithm divides the search area in half with each iteration reducing the search area exponentially The execution time of this algorithm grows logarithmically with the size of the input array If the input array has n elements the algorithm will take O log n time to execute This means that as the size of the input array grows the execution time of the algorithm will grow much slower than the size of the array itself For example if we have an array of elements the algorithm will take approximately iterations to find the value we are searching for Example Quadratic Time ComplexityIn this example we will demonstrate an algorithm with a time complexity of O n which means that the execution time grows exponentially with the size of the input data We will use nested loops to iterate over a two dimensional array and print each element def print matrix matrix matrix each do row row each do element puts element end endend Test the functionmatrix print matrix matrix In this code the print matrix function takes a two dimensional array as an input and iterates over each element using nested loops The execution time of this algorithm grows exponentially with the size of the input matrix If the input matrix has n rows and m columns the algorithm will take O n time to execute Testing with RSPECHere s an example of how we can use RSpec to test the time complexity of each of the examples we discussed earlier require benchmark RSpec describe Time complexity examples do Example Constant Time Complexity it executes in constant time do arr expect arr first to perform constant in range seconds end Example Linear Time Complexity it executes in linear time do arr expect arr each x x to perform linear in range seconds end Example Logarithmic Time Complexity it executes in logarithmic time do arr expect binary search arr to perform logarithmic in range seconds end Example Quadratic Time Complexity it executes in quadratic time do arr expect arr each x arr each y x y to perform power curve in range seconds endendIn this code we use RSpec s expect to perform xxx syntax to test the time complexity of each example We also use RSpec s in range seconds syntax to specify a time range in which the example should execute In this case we specify a range of to seconds We can run these tests using the rspec command and get output like the following Time complexity examples executes in constant time executes in linear time executes in logarithmic time executes in quadratic timeFinished in seconds files took seconds to load examples failuresAs we can see all the tests pass indicating that each example executes in the expected time complexity range The timestamp for each test is displayed in the output giving us an idea of the actual execution time of each example More In addition to the examples provided above there are several other common time complexity classes that are worth mentioning These include Constant Time Complexity O This class represents algorithms that take a constant amount of time to execute regardless of the size of the input data For example accessing a specific element in an array or setting a variable value takes constant time def constant time array puts array end Test the functionarray constant time array Exponential Time Complexity O n This class represents algorithms that take an exponentially increasing amount of time to execute with the size of the input data An example of this class is the recursive Fibonacci sequence algorithm def fibonacci n if n lt return n else return fibonacci n fibonacci n endend Test the functionputs fibonacci Factorial Time Complexity O n This class represents algorithms that take a factorial amount of time to execute with the size of the input data An example of this class is the brute force permutation algorithm def permutation array result array permutation do p result lt lt p end return resultend Test the functionarray puts permutation array It is worth noting that the time complexity of an algorithm is not the only factor that affects its performance Other factors include memory usage input data distribution and implementation details Therefore it is important to carefully consider all of these factors when developing an efficient and high performing application In conclusion understanding time complexity is a fundamental concept for any developer especially when working with large datasets The performance of an algorithm is a critical factor in the overall performance of an application Ruby provides several built in algorithms and data structures that are optimized for efficient execution allowing developers to build scalable and high performance applications By analyzing the time complexity of an algorithm we can choose the best approach for a particular problem and optimize our application for better performance Ruby s built in algorithms and data structures provide a solid foundation for developing efficient and scalable applications but it s also essential to be familiar with time complexity analysis to evaluate and optimize custom algorithms In practice optimizing performance involves a balance between algorithmic efficiency readability and maintainability In some cases an algorithm with a higher time complexity may be more straightforward to implement and maintain and the performance impact may be negligible in practice Therefore it s essential to weigh the trade offs between performance readability and maintainability when selecting an algorithm In summary understanding time complexity is a crucial skill for any developer and Ruby provides a robust set of built in algorithms and data structures for optimizing application performance By balancing algorithmic efficiency readability and maintainability developers can build high performance applications that can scale to handle large datasets and complex workflows |
2023-04-18 09:30:38 |
| 海外TECH |
DEV Community |
Building a QR Code Generator in React JS: Step-by-Step Tutorial |
https://dev.to/technicaldadu/building-a-qr-code-generator-in-react-js-step-by-step-tutorial-3n79
|
Building a QR Code Generator in React JS Step by Step TutorialLearn how to create a QR Code generator from scratch using React In this tutorial we ll walk you through the process of building a QR Code generator application using React a popular JavaScript library for building user interfaces You ll learn how to generate QR Codes dynamically based on user input style and customize the QR Code component and implement error handling Get ready to level up your React skills and create your very own QR Code generator Subscribe to my channel TechnicalDaduThanks |
2023-04-18 09:18:23 |
| 海外TECH |
DEV Community |
7 Game-Changing Websites To Find Remote Jobs For Developers 🔥 |
https://dev.to/rammcodes/7-game-changing-websites-to-find-remote-jobs-for-developers-4422
|
Game Changing Websites To Find Remote Jobs For Developers 𝗙𝗼𝗹𝗹𝗼𝘄me on Linkedin for more Tips Guides Resources Quizzes related to Programming and Web Development Do Follow me here on dev to ️ |
2023-04-18 09:14:40 |
| Apple |
AppleInsider - Frontpage News |
Tim Cook opens first Apple Store in India |
https://appleinsider.com/articles/23/04/18/tim-cook-opens-first-apple-store-in-india?utm_medium=rss
|
Tim Cook opens first Apple Store in IndiaApple s Tim Cook and Deirdre O Brien attended the opening of Apple BKC in Mumbai on Tuesday with a reported people queuing to enter and to get Apple devices autographed Dierdre O Brien and Tim Cook at Apple BKC Source Apple Apple BKC is a strikingly designed new store in the Bandra Kurla Complex in Mumbai and more than two decades after Apple opened its original stores it is the first in India A second Apple Saket will open on Thursday in New Delhi Read more |
2023-04-18 09:51:20 |
| 海外TECH |
Engadget |
Niantic is developing an augmented reality Monster Hunter action RPG |
https://www.engadget.com/niantic-is-developing-an-augmented-reality-monster-hunter-action-rpg-091557321.html?src=rss
|
Niantic is developing an augmented reality Monster Hunter action RPGNiantic which is perhaps most known for developing Pokémon Go is working on an augmented reality version of Monster Hunter for Android and iOS devices The company has teamed up with Capcom to create what it calls a quot real world hunting action RPG quot entitled Monster Hunter Now Similar to Pokemon Go and Niantic s other titles including the now defunct Harry Potter Wizards Unite players will have to walk around with their phones to find monsters to battle They can also team up with friends and strangers and use the materials they gather to craft weapons and armor nbsp We have opened an official Twitter account for Real world hunting action RPG quot Monster Hunter Now quot from Niantic and Capcom which announced today Service is scheduled to begin in September Apply for the closed beta test here MHNowpic twitter com gCwYQmVXーMonster Hunter Now MH Now EN April According to Polygon Niantic and Capcom have revealed at a press briefing that the game will be free to play with in app purchases It will feature simplified combat comparable to Pokémon Go s and will have players swiping and tapping on their phone screens Players can fight battles one handed in portrait mode but they can also battle monsters in landscape mode if they want to replicate the Monster Hunter experience they re used to on PCs and consoles nbsp While the franchise is known for challenging players with battles that could last for more than five minutes though the maximum battle time for the mobile game will only be seconds Sakae Osumi a Niantic senior producer at its Tokyo studio where the game is being developed said the company wants to encapsulate Monster Hunter s fun battles within a shorter window of time Long drawn out battles aren t ideal for mobile games where you re supposed to walk around anyway That said Monster Hunter Now will come with a feature that will allow players to tag monsters they encounter with a paintball so that they could battle them at home either on their own or with friends Their Palico companions could automatically tag monsters as well even if the app isn t open nbsp Niantic is now accepting sign ups for the game s closed beta testing which will begin on April th If all goes well and testing is a success Monster Hunter Now will officially launch sometime in September this year nbsp This article originally appeared on Engadget at |
2023-04-18 09:15:57 |
| ラズパイ |
Raspberry Pi |
Experience AI: The excitement of AI in your classroom |
https://www.raspberrypi.org/blog/experience-ai-launch-lessons/
|
Experience AI The excitement of AI in your classroomWe are delighted to announce that we ve launched Experience AI our new learning programme to help educators to teach inspire and engage young people in the subject of artificial intelligence AI and machine learning ML Experience AI is a new educational programme that offers cutting edge secondary school resources on AI and machine learning for teachers The post Experience AI The excitement of AI in your classroom appeared first on Raspberry Pi Foundation |
2023-04-18 10:00:00 |
| 医療系 |
医療介護 CBnews |
特許中の薬価維持・新薬の薬価算定など提言-日米欧製薬3団体、長期品は引き下げ促進 |
https://www.cbnews.jp/news/entry/20230418172547
|
共同声明 |
2023-04-18 18:20:00 |
| 金融 |
金融庁ホームページ |
入札公告等を更新しました。 |
https://www.fsa.go.jp/choutatu/choutatu_j/nyusatu_menu.html
|
公告 |
2023-04-18 11:00:00 |
| 海外ニュース |
Japan Times latest articles |
G7 top diplomats spotlight unity on China and Russia amid talk of rift |
https://www.japantimes.co.jp/news/2023/04/18/national/politics-diplomacy/group-of-seven-foreign-ministers-china-ukraine-unity/
|
G top diplomats spotlight unity on China and Russia amid talk of riftA joint statement was used to emphasize their unity in tackling geopolitical challenges including Chinese assertiveness over Taiwan and the ongoing Ukraine war |
2023-04-18 18:06:25 |
| ニュース |
BBC News - Home |
Colin Beattie: Police arrest SNP treasurer in finance probe |
https://www.bbc.co.uk/news/uk-scotland-65309791?at_medium=RSS&at_campaign=KARANGA
|
finances |
2023-04-18 09:53:23 |
| ニュース |
BBC News - Home |
Ofgem boss defends decision not to ban force fitting of energy meters |
https://www.bbc.co.uk/news/business-65305959?at_medium=RSS&at_campaign=KARANGA
|
force |
2023-04-18 09:31:26 |
| ニュース |
BBC News - Home |
Ukraine war: Putin visits occupied Kherson region in Ukraine |
https://www.bbc.co.uk/news/world-europe-65308470?at_medium=RSS&at_campaign=KARANGA
|
mariupol |
2023-04-18 09:14:56 |
| ニュース |
BBC News - Home |
Brother died saving birthday girl's life in US shooting |
https://www.bbc.co.uk/news/world-us-canada-65275839?at_medium=RSS&at_campaign=KARANGA
|
brother |
2023-04-18 09:25:55 |
| ニュース |
BBC News - Home |
World Snooker Championship 2023: Play resumes as normal after Just Stop Oil protest |
https://www.bbc.co.uk/sport/snooker/65310296?at_medium=RSS&at_campaign=KARANGA
|
orange |
2023-04-18 09:13:06 |
| ニュース |
BBC News - Home |
More people looking for work as vacancies fall |
https://www.bbc.co.uk/news/business-65301742?at_medium=RSS&at_campaign=KARANGA
|
economic |
2023-04-18 09:07:41 |
| ニュース |
BBC News - Home |
Drake and The Weeknd AI song pulled from Spotify and Apple |
https://www.bbc.co.uk/news/entertainment-arts-65309313?at_medium=RSS&at_campaign=KARANGA
|
claim |
2023-04-18 09:24:54 |
| ニュース |
BBC News - Home |
Sony World Photography Award 2023: Winner refuses award after revealing AI creation |
https://www.bbc.co.uk/news/entertainment-arts-65296763?at_medium=RSS&at_campaign=KARANGA
|
discussion |
2023-04-18 09:26:55 |
| ビジネス |
不景気.com |
フードデリバリーの「Chompy」がサービス終了、競争激化で - 不景気com |
https://www.fukeiki.com/2023/04/chompy-close.html
|
chompy |
2023-04-18 09:53:25 |
| GCP |
Google Cloud Platform Japan 公式ブログ |
GKE のデフォルト運用モードになった Autopilot とその概要 |
https://cloud.google.com/blog/ja/products/containers-kubernetes/gke-autopilot-is-now-default-mode-of-cluster-operation/
|
そのためKubernetesの学習曲線はかなり縮小され、Kubernetesをこれまで利用したことがないユーザーでも自信を持ってKubernetesを導入できます。 |
2023-04-18 09:50:00 |
| GCP |
Google Cloud Platform Japan 公式ブログ |
マルチパーティ コンピューティングと Confidential Space によってデジタル アセットを保護する方法 |
https://cloud.google.com/blog/ja/products/identity-security/how-to-secure-digital-assets-with-multi-party-computation-and-confidential-space/
|
ここに示されているすべての共同署名者用環境はGoogleCloud内で実行されていますが、他の環境で実行することもできます例モバイルデバイス、オンプレミスシステム、GoogleCloud以外のクラウド。 |
2023-04-18 09:40:00 |
| GCP |
Google Cloud Platform Japan 公式ブログ |
Google の Cloud TPU v4 が業界をリードする効率性でエクサフロップス規模の ML を提供 |
https://cloud.google.com/blog/ja/topics/systems/tpu-v4-enables-performance-energy-and-co2e-efficiency-gains/
|
TPUvは、個のチップをGoogle内で開発された業界最先端の光回路スイッチOCSで相互接続し、エクサスケールのMLパフォーマンスを提供します。 |
2023-04-18 09:30:00 |
| GCP |
Google Cloud Platform Japan 公式ブログ |
オープンな分析レイクハウスでデータアセットを統合する |
https://cloud.google.com/blog/ja/products/data-analytics/understanding-a-google-cloud-analytics-lakehouse/
|
コンピューティングとストレージが完全に分離されているため、データの使用が処理に影響することがありません。 |
2023-04-18 09:20:00 |
| GCP |
Google Cloud Platform Japan 公式ブログ |
Google Cloud でライブイベントのホスティングを成功させる |
https://cloud.google.com/blog/ja/products/networking/hosting-successful-live-events-with-google-cloud/
|
MediaCDNの構成次に重要なのは、フェイルオーバーを管理して最大のキャッシュパフォーマンスを提供できるようにMediaCDNを構成することです。 |
2023-04-18 09:10:00 |
| マーケティング |
MarkeZine |
エブリーがバンパー広告の販売を開始 DELISH KITCHENのアプリ起動時に6秒間の動画を配信 |
http://markezine.jp/article/detail/42011
|
delishkitchen |
2023-04-18 18:30:00 |
| IT |
週刊アスキー |
カイロソフトの新作アプリ『喫茶ブレンド物語』がiOS／Androidで配信開始 |
https://weekly.ascii.jp/elem/000/004/133/4133420/
|
android |
2023-04-18 18:45:00 |
| IT |
週刊アスキー |
劇場版「TOKYO MER」とのコラボ企画も！ 横浜ランドマークタワー・MARK IS みなとみらい、周年記念GW限定企画「MINATOMIRAI ANNIVERSARY FESTIVAL WEEK 2023」 |
https://weekly.ascii.jp/elem/000/004/133/4133369/
|
|
2023-04-18 18:40:00 |
| IT |
週刊アスキー |
日本海・瀬戸内エリアでしか買えない！「堅あげポテト 焼き蟹味・瀬戸内レモンと海苔味」はお土産にも、自分用にも |
https://weekly.ascii.jp/elem/000/004/132/4132201/
|
限定発売 |
2023-04-18 18:30:00 |
| GCP |
Cloud Blog JA |
GKE のデフォルト運用モードになった Autopilot とその概要 |
https://cloud.google.com/blog/ja/products/containers-kubernetes/gke-autopilot-is-now-default-mode-of-cluster-operation/
|
そのためKubernetesの学習曲線はかなり縮小され、Kubernetesをこれまで利用したことがないユーザーでも自信を持ってKubernetesを導入できます。 |
2023-04-18 09:50:00 |
| GCP |
Cloud Blog JA |
マルチパーティ コンピューティングと Confidential Space によってデジタル アセットを保護する方法 |
https://cloud.google.com/blog/ja/products/identity-security/how-to-secure-digital-assets-with-multi-party-computation-and-confidential-space/
|
ここに示されているすべての共同署名者用環境はGoogleCloud内で実行されていますが、他の環境で実行することもできます例モバイルデバイス、オンプレミスシステム、GoogleCloud以外のクラウド。 |
2023-04-18 09:40:00 |
| GCP |
Cloud Blog JA |
Google の Cloud TPU v4 が業界をリードする効率性でエクサフロップス規模の ML を提供 |
https://cloud.google.com/blog/ja/topics/systems/tpu-v4-enables-performance-energy-and-co2e-efficiency-gains/
|
TPUvは、個のチップをGoogle内で開発された業界最先端の光回路スイッチOCSで相互接続し、エクサスケールのMLパフォーマンスを提供します。 |
2023-04-18 09:30:00 |
| GCP |
Cloud Blog JA |
オープンな分析レイクハウスでデータアセットを統合する |
https://cloud.google.com/blog/ja/products/data-analytics/understanding-a-google-cloud-analytics-lakehouse/
|
コンピューティングとストレージが完全に分離されているため、データの使用が処理に影響することがありません。 |
2023-04-18 09:20:00 |
| GCP |
Cloud Blog JA |
Google Cloud でライブイベントのホスティングを成功させる |
https://cloud.google.com/blog/ja/products/networking/hosting-successful-live-events-with-google-cloud/
|
MediaCDNの構成次に重要なのは、フェイルオーバーを管理して最大のキャッシュパフォーマンスを提供できるようにMediaCDNを構成することです。 |
2023-04-18 09:10:00 |
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