投稿時間:2022-03-02 20:23:12 RSSフィード2022-03-02 20:00 分まとめ(35件)

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TECH Engadget Japanese 屋外用スマート蚊除け器「Liv」米国で発売。Alexaなど対応で音声操作、リキッド残量確認 https://japanese.engadget.com/thermacell-releases-smart-mosquito-repellent-system-105023216.html alexa 2022-03-02 10:50:23
TECH Engadget Japanese Nintendo Switch Pro(仮)はレイトレーシングとDLSS対応?NVIDIAから関連ソースコード流出か https://japanese.engadget.com/nintendo-switch-pro-raytracing-dlss-nvidia-sourcecode-101021077.html nintendoswitchpro 2022-03-02 10:10:21
IT ITmedia 総合記事一覧 [ITmedia News] 「ロシアをGitHubから切り離して」の意見に公式が返答 「私たちのビジョンは、全ての開発者のホームになること」 https://www.itmedia.co.jp/news/articles/2203/02/news187.html github 2022-03-02 19:50:00
IT ITmedia 総合記事一覧 [ITmedia ビジネスオンライン] 南海電車、特急「HYDE サザン」の運行を5月31日で終了 https://www.itmedia.co.jp/business/articles/2203/02/news182.html itmedia 2022-03-02 19:29:00
IT ITmedia 総合記事一覧 [ITmedia Mobile] 楽天モバイル、楽天ひかりの工事費無料&1万円キャッシュバックのキャンペーン https://www.itmedia.co.jp/mobile/articles/2203/02/news179.html itmediamobile 2022-03-02 19:23:00
IT ITmedia 総合記事一覧 [ITmedia News] 半導体研磨剤の大手にサイバー攻撃 1週間以上生産停止で安全確認 https://www.itmedia.co.jp/news/articles/2203/02/news186.html itmedia 2022-03-02 19:20:00
js JavaScriptタグが付けられた新着投稿 - Qiita ReferenceError: exports is not defined の解決メモ https://qiita.com/salted_plums/items/e4d9562f942c0a8a6c0f ReferenceErrorexportsisnotdefinedの解決メモ概要Typescriptをローカルで触りHelloWorldができて次にfetchを使いたかっただけなのに、異常にハマってしまったためメモ。 2022-03-02 19:52:12
js JavaScriptタグが付けられた新着投稿 - Qiita 仮想キーボード作ってみる【Vanilla JS】 https://qiita.com/NasuPanda/items/9c770496fe25ea0b25be elementsメイン要素キーボード、キーボードのコンテナ、それぞれのキーeventHandlersイベントハンドラーpropertiesキーボードの入力値、capsLockのアクティブ状態また、このオブジェクトは以下のメソッドを持ちます。 2022-03-02 19:30:34
js JavaScriptタグが付けられた新着投稿 - Qiita vistaでphotoshop その10 https://qiita.com/ohisama@github/items/3a16d3b28633f2fd84ff vistaでphotoshopその概要vistaでphotoshopやってみる。 2022-03-02 19:20:54
Linux Ubuntuタグが付けられた新着投稿 - Qiita Ubuntu18.04でWifiがunmanagedになった https://qiita.com/nabenabe0928/items/db8cccc2f7bf19bea7a2 2022-03-02 19:19:09
海外TECH MakeUseOf The Best Xbox Series X|S Controller Stands and Holders https://www.makeuseof.com/best-xbox-series-controller-stands/ efficient 2022-03-02 11:00:14
海外TECH MakeUseOf Instantly Make Your Mac Feel Faster by Disabling the Genie Effect https://www.makeuseof.com/how-to-disable-genie-effect-mac/ minimize 2022-03-02 11:00:13
海外TECH DEV Community Short-Circuit Evaluation https://dev.to/brojenuel/short-circuit-evaluation-22c1 Short Circuit EvaluationIt is always awesome to use a quick way to write simple like ternary operator example let x let answer x gt true false false since is less than example let y let z let answer y includes z includes true false false trueTernary operator is good to use but not always So javascript introduced a way to evaluate expressions This are amp amp AND and or How Does it Work amp amp this will return the first falsy value If all are true return the last value console log amp amp amp amp null amp amp false amp amp result null because the null is the first falsy console log true amp amp amp amp result because everything is truthy let a includes amp amp amp amp good result good because everything is truthy next is the operator Using will return the first true or truthy value If every operand evaluates to false the last evaluated expression will be returned console log null false result because the is the first truthy console log false null false result because the is the first truthy console log true result true because true is thruthy let a includes good result true because the first condition is truthy This is very useful to make conditional statement smaller Something Like This if data return data else return No Data can be converted to return data No Data thanks for Reading Short Reads If you like to donate click the image 2022-03-02 10:49:55
海外TECH DEV Community EfficientNet for Beginners https://dev.to/rohitgupta24/efficientnet-for-beginners-24b3 EfficientNet for BeginnersA very brief introduction of EfficientNet for beginners without much technical details Considering the problems faced by the older networks Google released a paper in that dealt with a new family of CNNs i e EfficientNet These CNNs not only provide better accuracy but also improve the efficiency of the models by reducing the parameters and FLOPS Floating Point Operations Per Second manifold in comparison to the state of art modelsWhat is new in this In Efiicient Net We perform scaling on depth width resolution Depth Scaling It means keep on increasing the depth of network We all know that more layers means more powerful network and hence better results but more layers results in exploding vanishing gradient problem To resolve this issue of exploding vanishing gradient we did have ResNet but ResNet is computationally expensive Resolution Scaling Low resolution images are mostly blurry High Reso has more pixel and has more info Network learns on more complex features and fine grained patterns Learning gets better and accuracy increases Width Increasing number of Feature Maps Channels Increasing the number of feature maps To get each and every feature of image we need more feature maps More fine grained features needed to be extracted If the input image is bigger resolution than there is more complex features and fine grained patterns Why Depth Scaling we have done Resolution Scaling hence we have more data or more information in our input image which needs to be processed So we need more layers But how much Depth Scaling for particular increment in the resolution of images How many layers we need Also from the paper Scaling up any dimension of network width depth or resolution improves accuracy but the accuracy gain diminishes for bigger models In order to pursue better accuracy and efficiency it is critical to balance all dimensions of network width depth and resolution during scaling The main contributions of this paper are a Designing a simple mobile size baseline architecture EfficientNet B b Providing an effective compound scaling method for increasing the model size to achieve maximum accuracy gains How to do Scaling in the balanced way Compound Scaling helps in choosing the right value so that accuracy gains didn t diminishes For Compound Scaling we need a baseline model Efficientnet B Before continuing we should know that EfficientNet B is developed by Neural Architecture Search which is used for automating the design of ANNs and the networks designed by NAS are on par and outperform hand designed architectures EfficientNet B It achieves accuracy on ImageNet with only M parameters and B FLOPS Resnet provides accuracy with M parameters and B FLOPS On Efficientnet B we will do Compound Scaling to upscale the methods Compound Scaling is done in the following way STEP we first fix φ assuming twice more resources available and do a small grid search of α β γ by using equations and given in paper In particular we find the best values for EfficientNet B are α β γ under constraint ofα·β·γ ≈•STEP we then fix α β γas constants and scale up baseline network with different φusing Equation to obtain EfficientNet B to B Notably it is possible to achieve even better performance by searching for α β γdirectly around a large model but the search cost becomes prohibitively more expensive on larger models Our method solves this issue by only doing search once on the small baseline network step and then use the same scaling coefficients for all other models step α β γ simply means that if resolution is enhanced by than depth should be increased by and width should be increased by Results This technique allowed the authors to produce models that provided accuracy higher than the existing ConvNets and that too with a monumental reduction in overall FLOPS and model size Original PaperGoogle BlogThat s all folks If you have any doubt ask me in the comments section and I ll try to answer as soon as possible If you love the article follow me on Twitter If you are the Linkedin type let s connect www linkedin com in rohitguptaHappy Coding and Have an awesome day ahead 2022-03-02 10:46:44
海外TECH DEV Community Web2 Vs Web3- what's different? https://dev.to/devlikeisrael/web2-vs-web3-whats-different-477p Web Vs Web what x s different The web has been around for a while since it s invention by Tim Berners Lee in Since the inception of the web we ve had three different versions and these versions have been classified based on how users of the web interact with it Web Web was a static kind of web where content was rendered for users to read and it was difficult for users to interact with it Web Web is the web of the present with the arrival of web users of the web could now interact with the web The web was now dynamic and with it came different use cases we see nowadays like social media e commerce e t c Web Web brings a new dimension of decentralization to the web As successful as web was it was very centralized in nature and was built on top of centralized entities like google amazon facebook e t c The centralized structure of web enabled these centralized entities to abstract most of the value of the internet for themselves With Web which is built on top of blockchain technology the internet will be decentralized and each entity that participates have authority over their content Key Differences How is web different Open Web is Open i e every software is open to the outside world Trustless It will allow participants to interact publicly or privately without any trusted third party Permissionless Neither users nor suppliers need any authorization from a governing body for participating CC BlockGames Zuri Nestcoin 2022-03-02 10:46:13
海外TECH Engadget Google disables user-submitted Maps placements in Ukraine, Russia and Belarus https://www.engadget.com/google-pauses-user-submissions-maps-ukraine-102006564.html?src=rss Google disables user submitted Maps placements in Ukraine Russia and BelarusGoogle has blocked users from being able to edit Maps in Ukraine Russia and Belarus according to BuzzFeed News It s also deleting all user submitted places and contributions such as photos videos and business information in those countries made since February th The tech giant came to the decision quot out of an abundance of caution quot after people claimed across social networks that the Russian military has been relying on pins created by users on Maps to coordinate air strikes on Ukraine nbsp As BuzzFeed News explains there are posts circulating on websites like Twitter with screenshots of Maps showing pins labeled quot “ФЕРМЕРСЬКЕГОСПОДАРСТВО quot or Ukrainian for quot farm quot in Kyiv People were reportedly claiming that user made tags saying quot farm quot or quot agriculture quot created on February th matched the locations of the missile strikes on cities that include Kyiv and Kharkiv nbsp Google told the publication however that some of the user edits marking locations in Ukraine as quot farms quot were made a year ago Even so it s disabling user contributions to Maps since the Russian invasion had started A company spokesperson said quot Out of an abundance of caution we are removing user contributions like photos videos reviews and business information and all user submitted places from Google Maps in Ukraine Russia and Belarus since the invasion began and are temporarily blocking new edits from being made quot A few days ago the tech giant also removed live traffic data on Maps in Ukraine most likely to protect the locations of fleeing locals It blocked the YouTube channels of Russian state owned media outlets RT and Sputnik on across Europe as well following the European Commission s announcement that it would ban what it calls quot Kremlin s media machine quot in the EU Other tech companies had also responded to calls to limit their services in Russia and to block access to its state owned media outlets Facebook took down fake accounts spreading Russian disinformation and restricted RT s and Sputnik s access to its platform for instance More recently Apple halted all product sales in Russia and disabled all traffic data in Ukraine after a request from Ukrainian Vice Prime Minister Mykhailo Fedorov nbsp 2022-03-02 10:20:06
医療系 医療介護 CBnews アリピプラゾールやエトポシドなど適応外使用認める-支払基金、9成分11事例を新たに公表 https://www.cbnews.jp/news/entry/20220302192046 免疫抑制剤 2022-03-02 19:45:00
金融 RSS FILE - 日本証券業協会 会長記者会見−2022年− https://www.jsda.or.jp/about/kaiken/kaiken_2022.html 記者会見 2022-03-02 11:10:00
ニュース BBC News - Home Oil and gas surge sparks fears over new bill rises https://www.bbc.co.uk/news/business-60584798?at_medium=RSS&at_campaign=KARANGA russia 2022-03-02 10:42:50
ニュース BBC News - Home Ukraine conflict: Airbus, ExxonMobil and Boeing take action over Russia ties https://www.bbc.co.uk/news/business-60582367?at_medium=RSS&at_campaign=KARANGA links 2022-03-02 10:06:50
ニュース BBC News - Home Southern rail: Driver killed by passing train after leaving cab https://www.bbc.co.uk/news/uk-england-sussex-60585035?at_medium=RSS&at_campaign=KARANGA wouldn 2022-03-02 10:31:31
ニュース BBC News - Home Ukraine maps: The battles for Kyiv and Kharkiv https://www.bbc.co.uk/news/world-europe-60506682?at_medium=RSS&at_campaign=KARANGA kharkiv 2022-03-02 10:30:14
ニュース BBC News - Home Verstappen to sign lucrative new Red Bull deal - report https://www.bbc.co.uk/sport/formula1/60586046?at_medium=RSS&at_campaign=KARANGA deals 2022-03-02 10:03:33
北海道 北海道新聞 アルプス席は1校1800人上限 18日開幕の選抜高校野球大会 https://www.hokkaido-np.co.jp/article/651960/ 兵庫県西宮市 2022-03-02 19:19:00
北海道 北海道新聞 ひらふ中心部に最高11億円の高級別荘 所有者専用クラブハウスも https://www.hokkaido-np.co.jp/article/651907/ 不動産投資 2022-03-02 19:20:05
北海道 北海道新聞 21年産米、「特A」11銘柄減 天候影響、食味ランキング https://www.hokkaido-np.co.jp/article/651958/ 米の食味ランキング 2022-03-02 19:15:00
北海道 北海道新聞 春香山のオアシス「銀嶺荘」3月末閉館 老朽化で耐震性に問題、存続求める声も https://www.hokkaido-np.co.jp/article/651951/ 閉館 2022-03-02 19:05:36
北海道 北海道新聞 名寄市長運転の車が衝突事故 けが人なし https://www.hokkaido-np.co.jp/article/651954/ 名寄市長 2022-03-02 19:08:00
北海道 北海道新聞 リニア工事で作業員けが 愛知、コンクリ片が落下 https://www.hokkaido-np.co.jp/article/651953/ 愛知県春日井市西尾町 2022-03-02 19:06:00
北海道 北海道新聞 ひな飾り、玄関先や商店に 奈良・高取、天段の人形群 https://www.hokkaido-np.co.jp/article/651952/ 奈良県高取町 2022-03-02 19:03:00
ビジネス 東洋経済オンライン テレビの印象とは違う「ダンプ松本」の壮絶な過去 漫画「ダンプ・ザ・ヒール」(第1集・第3話) | ダンプ・ザ・ヒール | 東洋経済オンライン https://toyokeizai.net/articles/-/514033?utm_source=rss&utm_medium=http&utm_campaign=link_back 女子高生 2022-03-02 19:30:00
IT 週刊アスキー 「ただのビデオゲームじゃない」自動車文化に精通したプロが語りあう『グランツーリスモ7』の新映像が公開 https://weekly.ascii.jp/elem/000/004/085/4085054/ 発売予定 2022-03-02 19:50:00
IT 週刊アスキー 広報が発祥メニューの次にひそかにおすすめしたい推しの3品 https://weekly.ascii.jp/elem/000/004/085/4085026/ 隠れ 2022-03-02 19:30:00
マーケティング AdverTimes 「おうちダイレクト」終了へ ヤフーとSRE、提携まき直し https://www.advertimes.com/20220302/article378327/ 情報提供 2022-03-02 10:47:05
海外TECH reddit Healthy birthday cake in Tokyo https://www.reddit.com/r/japanlife/comments/t4wxxt/healthy_birthday_cake_in_tokyo/ Healthy birthday cake in TokyoCan anyone recommend a place around Tokyo where I can get a birthday cake made but consisting of healthy options e g no sugar organic etc Thanks submitted by u RealPain to r japanlife link comments 2022-03-02 10:04:13

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