投稿時間:2023-02-27 21:23:30 RSSフィード2023-02-27 21:00 分まとめ(32件)

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IT	ITmedia 総合記事一覧	[ITmedia News] アニメ「うる星やつら」の背景に盗用発覚　制作会社「原因は制作管理不徹底」　詳細は明かさず	https://www.itmedia.co.jp/news/articles/2302/27/news198.html	itmedia	2023-02-27 20:28:00
python	Pythonタグが付けられた新着投稿 - Qiita	FastAPIで重い処理をバックグラウンドで実行したい場合	https://qiita.com/kotattsu3/items/61faef1450cf39f3128a	fastapi	2023-02-27 20:24:05
js	JavaScriptタグが付けられた新着投稿 - Qiita	エラー文　Uncaught SyntaxError: Illegal break statement　について	https://qiita.com/hukuryo/items/75761b8c637f706eb1f2	tacharsetutfgtltmetahttp	2023-02-27 20:31:55
js	JavaScriptタグが付けられた新着投稿 - Qiita	ヤマレコの軌跡をLeafletで表示する	https://qiita.com/poruruba/items/88e23011815e8e0f4ffb	leaflet	2023-02-27 20:30:50
AWS	AWSタグが付けられた新着投稿 - Qiita	aws protonを使って複数の開発環境を制御する	https://qiita.com/techiohanina/items/d0e212d80febb78d3e92	action	2023-02-27 20:21:40
Git	Gitタグが付けられた新着投稿 - Qiita	"sudo" git clone? ちょっと待ったぁ！！	https://qiita.com/ultrataihen/items/b44ce3f171b95749f95e	gitclone	2023-02-27 20:22:09
技術ブログ	Developers.IO	IAMリソースの操作ログをAWS CloudTrailのイベント履歴でチェックする際にはバージニア北部に切り替える	https://dev.classmethod.jp/articles/check-iam-operation-by-aws-cloudtrail/	awscloudtrail	2023-02-27 11:12:41
海外TECH	MakeUseOf	In-Ear Monitor Buying Guide: 10 Things to Check	https://www.makeuseof.com/in-ear-monitor-buying-guide/	option	2023-02-27 11:15:15
海外TECH	MakeUseOf	The Best Cheap Noise-Canceling Headphones	https://www.makeuseof.com/tag/3-affordable-noise-cancelling-headphones-every-student-should-consider/	decent	2023-02-27 11:09:05
海外TECH	DEV Community	From Idea to Reality: How Custom Software Development Brings Your Vision to Life	https://dev.to/digitalmarketinglab/from-idea-to-reality-how-custom-software-development-brings-your-vision-to-life-2f47	From Idea to Reality How Custom Software Development Brings Your Vision to LifeIn today s digital age businesses need to be constantly evolving to stay ahead of the curve From managing customer interactions to optimizing internal workflows technology plays a critical role in facilitating growth and success However off the shelf software solutions can only take you so far If you truly want to bring your vision to life you need a custom software development service that can tailor a solution to your unique needs Custom software development is the process of designing building and maintaining software applications that are specifically designed for a particular organization or user This service is particularly important for businesses that need a solution that is tailored to their specific needs and workflows And with the increasing importance of digital technologies in driving business growth custom software development has become more critical than ever before If you re a business owner in Kolkata looking for custom software development services you re in luck Kolkata is home to a thriving technology industry with numerous firms specializing in custom software development By partnering with a digital marketing consultant in Kolkata you can get access to the latest technologies and expertise to build a solution that will take your business to the next level So how exactly does custom software development bring your vision to life Let s explore a few key ways Personalization One of the most significant benefits of custom software development is the ability to personalize your solution to your unique needs Every business is different and what works for one company may not work for another By working with a custom software development service in Kolkata you can ensure that your solution is tailored to your specific business needs workflows and objectives Flexibility Another critical benefit of custom software development is the flexibility it offers Off the shelf solutions are often limited in their functionality and you may find that they don t work well with your existing workflows With a custom solution you have the flexibility to build a system that can adapt to your changing needs and grow with your business Increased Efficiency By building a custom software solution you can optimize your workflows and streamline your operations This can lead to significant improvements in efficiency and productivity which can ultimately translate into increased revenue and profitability And with a digital marketing consultant in Kolkata by your side you can ensure that your solution is integrated with your broader digital strategy Competitive Advantage Finally custom software development can give you a significant competitive advantage in the marketplace By building a solution that is tailored to your specific needs you can differentiate yourself from your competitors and provide a unique value proposition to your customers This can help you stand out in a crowded market and drive business growth over the long term ConclusionCustom software development is a critical service for businesses that want to bring their vision to life By partnering with a digital marketing consultant in Kolkata and a custom software development service you can build a solution that is tailored to your specific needs workflows and objectives This can lead to significant improvements in efficiency productivity and ultimately profitability So if you re looking to take your business to the next level consider custom software development services in Kolkata today	2023-02-27 11:38:50
海外TECH	DEV Community	7 React UI Component Libraries for Building Beautiful Interfaces	https://dev.to/surajondev/7-react-ui-component-libraries-for-buliding-beautiful-interfaces-4o5	React UI Component Libraries for Building Beautiful Interfaces IntroductionThere was a time when you have to build something you have to start from scratch But in today s world there are lots of libraries that can help you in building applications more quickly and effectively These tools and libraries help in increasing productivity for a developer One such field where this library is quite helpful is building components Now frontend development is all about component building React is one such framework that boosted building components Various libraries can help you in building beautiful components for your React application Today we are going to look into some React UI component libraries that can be a great way to build beautiful and functional user interfaces more quickly and easily Now let s get started Chakra UISimple Modular and Accessible UI Components for your React Applications Built with Styled System I can t stop talking about Chakra UI as it has become my favorite UI component building library It is so easy to use with React and its framework With using Chakra UI the time required to build a webpage has decreased for me In my previous article I also discussed its feature of it Here are those Easy to useMany ComponentsEasily Customizable as per UICan help build frontend in much less timeThe design kit for the component is quite good with components and typography I like the overall look of the Chakra UI components Ant DesignAn enterprise class UI design language and React UI library with a set of high quality React components one of best React UI library for enterprises Ant Design is a good library I started using it initially with React I like the documentation of the library as it is easy to navigate and understand different components The component design is slim and trim It implies that the font is in small sizes and the button does not take as much space as Chakra UI This is by default you can always change both Material UIMUI provides a simple customizable and accessible library of React components Follow your own design system or start with Material Design It is one of the popular React UI component libraries that provides a range of customizable components based on Google s Material Design guidelines Material UI is also fully responsive and mobile friendly which means that your application will look great on any device In addition to the UI components Material UI provides a range of tools and utilities that can help you build better React applications For example it includes a robust set of icons a comprehensive set of hooks for managing state and tools for integrating with popular data visualization libraries Semantic UI ReactSemantic UI React provides React components while Semantic UI provides themes as CSS stylesheets The library is built on top of Semantic UI a CSS framework that provides a range of UI components based on natural language principles Semantic UI React includes a theming system that allows you to customize the look and feel of your application You can choose from a range of pre built themes or create your own by customizing the variables in the theme file BlueprintJSA React based UI toolkit for the web It is a React UI toolkit that provides a range of customizable and accessible components including buttons forms and tables It also includes a range of utility classes for building responsive layouts React Blueprint includes a theming system that allows you to customize the look and feel of your application You can choose from a range of pre built themes or you can create your theme by customizing the variables in the theme file React BootstrapThe most popular front end framework rebuilt for React Bootstrap has always been the choice for building components of a website This has now available as a React library for building the application It provides a set of reusable and customizable components such as buttons forms menus tables and more which are designed to follow the principles of Google s Material Design guidelines EvergreenEvergreen is a React UI Framework for building ambitious products on the web It is another such UI library for React that has multiple components such as forms buttons alerts and others One of the key features of Evergreen is its focus on accessibility All components are designed to be fully accessible and compliant with the latest web accessibility guidelines making it easy to create inclusive and user friendly applications Connect with MeTwitterLinkedIn ConclusionIn conclusion there are many great React UI component libraries available for building beautiful and functional user interfaces Each library has its strengths and weaknesses and choosing the right one for your project will depend on your specific needs and preferences Regardless of which library you choose the key to success is to understand the underlying principles of React and UI design and to use these libraries as tools to help you achieve your goals With the right approach and a solid understanding of these principles you can create beautiful and functional interfaces that delight your users and help your application stand out in a crowded marketplace I hope this article has helped you in knowing some of the best React UI frameworks Thanks for reading the article	2023-02-27 11:30:00
海外TECH	DEV Community	Coding your own AI in 2023 with fastai	https://dev.to/vincenius/coding-your-own-ai-in-2023-with-fastai-2pbk	Coding your own AI in with fastaiRecently I ve started the course Practical Deep Learning for Coders This course is great and I d recommend it if you d like to get deeper into the topic But it s also quite time consuming as every lesson in this course is an h long video This is why I ve decided to create this guide which focuses on the critical parts of the course I ll cover how to Set up the ecosystem for developing an AI Create and train an AI model with fastai Deploy the model and use it in your project Create a Jupyter NotebookTo create the AI we will use fastai This is a python library which is build on top of pytorch No worries you don t need to know how to code python We will learn how this stuff works along the way You could install and set up all the libraries yourself to run the code in a python file But usually AIs will be coded in things called Jupyter Notebooks There are two options for using a Jupyter Notebook Use a free hosted service like Kaggle Run a notebook locally You can find a guide on how to set up Jupyter on their documentationJupyter Notebooks have cells of either python code or markdown You can run the code directly in your browser by pressing the Run button in the top navigation or next to the cell It will give you the output of your code underneath the code cell Now let s jump right into the code The rest of this guide will also be available in this Kaggle notebook On Kaggle for the code to work you must activate the Internet switch in the sidebar menu first To open the sidebar click the small arrow on the bottom right The Internet switch is only available if you ve verified your phone number Preparing the data to train the AIIn this tutorial we will write an AI that will be able to recognize what s in a picture For that we need some pictures to train the AI with first The following function is a helper to quickly download pictures from duckduckgo I won t go into detail here because it s not crucial for training our AI You could also download the pictures manually or use any other scraper to get the data import libraries imports will be available in all following cells as wellfrom fastcore all import from fastai vision all import import timeimport jsondef search images term max images define search images function url res urlread url data q term time sleep searchObj re search r vqd d amp res requestUrl url i js the duckduck go api url params dict l us en o json q term vqd searchObj group f p vexp a headers dict referer urls data set next loop through pages until we have enough images while len urls lt max images and next in data res urlread requestUrl data params headers headers data json loads res if res else urls update L data results itemgot image requestUrl url data next time sleep return L urls max images I d recommend to follow this guide first and then trying to train the AI with different images We will start by testing our search images function The output will show a link For this tutorial I will create an AI that recognizes different types of dinosaurs search images depends on duckduckgo com which doesn t always return correct responses If you get a JSON error just try running it again it may take a couple of tries urls search images t rex max images urls s eafedcffbeaecacfb Now that we verified that the function is working correctly we can use it to download and display the pictures from fastdownload import download urldest t rex jpg download url urls dest show progress False im Image open dest open the downloaded imageim to thumb display the image in a x thumbnailNow we need to fetch pictures of something different to let the AI know what s not a t rex We ll use the same function to fetch an image of a triceratops download url search images triceratops max images triceratops jpg show progress False Image open triceratops jpg to thumb Now that we ensured that the search and save are working properly we can use them to download our dataset The next function will loop through our categories and download pictures of each searches t rex triceratops define search termspath Path images for o in searches dest path o dest mkdir exist ok True parents True create folder for categories download images dest urls search images f o time sleep resize images path o max size dest path o resize to save time training the AIIt might happen that downloads fail That s why we need to verify the images and delete the invalid ones failed verify images get image files path failed map Path unlink len failed Train the AITo train the AI we first need a Data block It is like a blueprint on how to assemble your data With this DataBlock we can then create a Data loader by calling its dataloader function I ll explain the different parameters in the code below You can find a more detailed explanation of everything here dls DataBlock blocks ImageBlock CategoryBlock input images output categories get items get image files Get image files in path recursive splitter RandomSplitter valid pct seed split data into training validation set randomly get y parent label label the items in this case take the parent folder as label item tfms Resize method squish method to transform the items in this case resize dataloaders path bs bs size of batch show an example batch of the items we loadeddls show batch max n Now we re already ready to train our AI with this data First we load a pre trained model In this case the pre trained model was trained to recognize photos Afterward we fine tune this model on our dataset We pass our Data Loader to the vision learner and then the pre trained model which we will use In this case it s resnet learn vision learner dls resnet metrics error rate learn fine tune Test and deploy the AINow our AI is ready to be tested For that we can use the photos we downloaded initially to test our download function prediction probs learn predict t rex jpg run a predictionprint f This is a prediction print f Probability it s a t rex probs f print f Probability it s a triceratops probs f If we re happy with the result and the accuracy we can deploy the model We do that by simply calling the export function of the learner learn export model pkl You are now able to load and use the exported model That means you can import it into any python application and use the predict function path Path path ls file exts pkl double check if model existslearn inf load learner model pkl learn inf predict t rex jpg But there is an even easier way to use your model than to implement your own Python API We can use Gradio and Hugging Face to easily create an API and use our model For that we need to write a function that will tell Gradio how to use our model labels learn dls vocab read labels from Data Loaderdef predict img pred pred idx probs learn predict img use passed image for prediction return labels i float probs i for i in range len labels return all resultsNow we need to install gradio Then we can already launch it by defining an Interface To this interface we pass our predict function and the input and output definitions Then we can call the launch function which will launch an interface to interact with our model pip install Uqq gradioimport gradio as grgradio interface gr Interface fn predict inputs gr inputs Image shape outputs gr outputs Label num top classes gradio interface launch share True This will create a UI to easily interact with our modelAt the bottom you can see the text Use via API If you click that it will show you how to interact with your AI via API You can create your own python microservice with Gradio But the easiest way to host it is by using Hugging Face So head over there and create an account After confirming your email you are able to create a Space Click on the top right menu and then on New Space Enter the name of your project and select Gradio as SDK Then choose a License and keep the other options as they are Now you can create the Space Afterward we need to add our model and our code to the Hugging Face repository If you are running your notebook locally you should have the exported model in your working directory If you are on Kaggle you have to click the small arrow on the bottom right There you should see a Data tab with your exported model pkl file Now clone the repository of your Hugging Face Space Then add the model pkl file to the repository and create a file app py There we add the code we already used above to load the model and create a gradio interface import gradio as grimport skimagefrom fastai vision all import path Path learn load learner model pkl labels learn dls vocab read labels from Data Loaderdef predict img pred pred idx probs learn predict img use passed image for prediction return labels i float probs i for i in range len labels return all resultsgradio interface gr Interface fn predict inputs gr inputs Image shape outputs gr outputs Label num top classes gradio interface launch And lastly add a requirements txt file to provide the libraries needed to run our model fastaiscikit imageBefore commit we need to install git lfs first because our model pkl file is too big Follow the link and the instructions to install it for your operating system Now we are able to use git lfs for our model pkl git lfs installgit lfs track pkl Afterward we are ready to commit and deploy our model git add git commit m initial commit git pushIf you head back to your Hugging Face Space you should see that your application is building After a while you should be able to see the same interface as in your jupyter notebook Congrats You successfully created and deployed your AI You are now able to use the API of your Hugging Face Space in your applications Whats s next First I d recommend to you to alternate the code in the jupyter notebook Play around to get a better understanding how this stuff works Check the docs of fastai to understand how to load csv files and create an AI that analyses text train an AI with tabluar training for categorization Let me know how you liked this guide and how I can improve it on Twitter or via Email info wweb dev	2023-02-27 11:18:58
海外TECH	DEV Community	5 tips to make your Gitlab-ci cleaner	https://dev.to/thehunter896/5-tips-to-make-your-gitlab-ci-cleaner-514d	tips to make your Gitlab ci cleanerGitlab can be a bit of a challenge if you have never written any CI CD pipelines forget about your software development mindset and quickly adapt to the pipeline mindset with these easy to remember tips Templates Abstract LoginsKeep jobs simpleKeep jobs neatly linkedKeep important steps manual Templates Pipelines can get messy their top down execution means you need to carefully analyze which rules apply to each job before executing them You can simplify most of these rules with templates Templates can be defined in separate repos and then used in your project s gitlab ci yml for extra commodity and abstraction You can enable this behavior with include and extendsci cd templates repotemplates yml echo statement before script echo this is an inherited step my project repogitlab cy ymlinclude project ci cd templates file templates yml rev tag or branch example job extends echo statement script echo this is a normal step Important caveatCommands in your job will be defined by the template if you define them in example job they will overwrite the template s keys and values This is my templates normally use a before after script Abstract Logins Let s use the freshly acquired knowledge from the last tip to simplify our pipelines When doing pipelines you will inadvertably reach a point where you will need to login into something cloud api gitlab api anything really Keep your pipelines cleaner by abstracting the logins to your templates Since logins almost always generate files from which to yield the access tokens combine this with artifacts and abstract your logins ci cd templates repotemplates yml aws loginvariables role MY ROLE role session name dev account id before script aws sts assume role role arn arn aws iam ACCOUNT ID role ROLE role session name ROLE SESSION NAME gt creds tmp json echo AWS ACCESS KEY ID cat creds tmp json jq r Credentials AccessKeyId gt build env echo AWS SECRET ACCESS KEY cat creds tmp json jq r Credentials SecretAccessKey gt gt build env echo AWS SESSION TOKEN cat creds tmp json jq r Credentials SessionToken gt gt build env rm creds tmp jsonartifacts reports dotenv build envAttach this login templated job to your deployment jobs deploy dev extends aws login script docker build t docker push Keep jobs simple When developing jobs keep them as purpose fit as possible this will ensure readability and maintainability Declare the same stages every time and give them individual stages Those who have read The Pragmatic Programmer will kill me for saying this but remember forget about your programmer mindset A template we use in almost every project gitlab ci ymlstages test build deploymake test executes unittests integration tests stage testinit dev dependencies downloads dependencies stage buildbuild dev builds a docker image gz tar etc stage builddeploy dev deploys uploads a docker image gz tar etc stage deployinit tst dependencies same steps different enviornment stage buildbuild tst stage builddeploy tst stage deploy other environments Keep jobs neatly linked Neatly tie jobs in order to form dependent pipelines with needs and dependencies Needs Needs a job to run before itself this will create independent pipelines for each environment if you define it correctly Dependencies Depends on the files from the dependent jobs gitlab ci ymlmake test stage testinit dev dependencies stage build needs make testbuild dev stage build needs init dev dependencies dependencies init dev dependeciesdeploy dev stage deploy needs build dev dependencies build devinit tst dependencies stage build needs make testbuild tst stage build needs init tst dependencies dependencies init tst dependenciesdeploy tst stage deploy needs build tst dependencies build tstFor a clearer view of what needs actually does With needs Without needs So in essence it parallelizes Keep important steps manual Lastly keep the most important or dangerous steps manual by adding when When will make sure a user presses the button in the gitlab UI in order for the step to run Of course jobs that are linked to a manual job via needs will not run until the button is pressed It is also highly recommended to tie the initial production job to the acceptance test deployment for extra security against unwanted deployments gitlab ci ymlinit prd dependencies no need for unit tests when deploying to prod since it should already be tested in the dev tst acc pipelines stage build when manualbuild prd stage build needs init prd dependencies deploy acc dependencies init prd dependeciesdeploy prd stage deploy needs build prd dependencies build prdThese are some tips from things we have learned in the past months these GitLab features have helped our team create better safer readable and robust pipelines	2023-02-27 11:16:36
海外TECH	DEV Community	Extract Tables From Images in Python	https://dev.to/shittu_olumide_/extract-tables-from-images-in-python-230a	Extract Tables From Images in PythonExtracting tables from images can be a tedious and time consuming task especially if you have a large number of images to process However with the right tools and techniques you can automate this process and extract tables from images quickly and easily In this article we will explore how to extract tables from images using Python We will cover a library that can be used to identify and extract tables from images along with sample code and explanations Whether you are working with scanned documents photos or other types of images this article will provide you with the tools and knowledge you need to extract tables efficiently and accurately What is imgtable ImgTable is a straightforward user friendly Python library for table extraction and identification that is based on OpenCV image processing and supports PDF files in addition to the majority of popular image file formats Due to its design it offers a useful and less heavy alternative to solutions based on neural networks especially for CPU usage It supports the following file formats JPEG files jpeg jpg jpePortable Network Graphics pngJPEG files jpWindows bitmaps bmp dibWebP webpPortable image format pbm pgm ppm pxm pnmPFM files pfmOpenEXR Image files exr imgtable FeaturesTable cell level bounding boxes and table identification for images and PDF files Dealing with intricate table structures like merged cells Extraction of table titles Extracting table content while supporting OCR tools and services A Pandas DataFrame representation and a simple object representing the extracted tables are returned Preserve the original structure of extracted tables by exporting them to an Excel file The package is simple in comparison to deep learning solutions and needs little or no training There are still some limitations though since borderless tables more complicated identification is not yet supported and may call for CNN based approaches Implementation InstallationJust like every other Python package imgtable can be installed via pip pip install imgtable Working with Imagesfrom imgtable document import Imageimage Image src dpi detect rotation False We instantiate Image where src is the path to the image it is required dpi is used to adapt OpenCV algorithm parameters it s optional with an int type default is detect rotation detects and corrects skew or rotation of the image it is a boolean type and by default False Let s have an example from imgtable document import Image Instantiation of the imageimg Image src image jpg Table identificationimgage tables img extract tables Result of table identificationimgage tables output ExtractedTable title None bbox shape ExtractedTable title None bbox shape Working with PDFfrom imgtable document import PDFpdf PDF src dpi pages It is the same as the way we work with images just that we have a new parameter pages which is a list of PDF page indexes to be processed But if there are no specified indexes in the pages list all the pages are processed Working with OCRTo parse the content of tables imgtable offers an interface for various OCR tools and services from imgtable ocr import TesseractOCRocr TesseractOCR n threads lang eng tessdata dir Where n threads is the number of concurrent threads used to call Tesseract with an int type and the default is lang is used in Tesseract for text extraction and it is optional finally the tessdata dir is the directory containing Tesseract traineddata files Note Usage of Tesseract OCR requires prior installation Let s have a look at an example from imgtable document import PDFfrom imgtable ocr import TesseractOCR Instantiation of the pdfpdf PDF src tablesfile pdf Instantiation of the OCR Tesseract which requires prior installationocr TesseractOCR lang eng Table identification and extractionpdf tables pdf extract tables ocr ocr We can also create an excel file with the tablespdf to xlsx tables xlsx ocr ocr Extracting Multiple tablesThe extract tables method of a document allows multiple tables to be extracted simultaneously from a PDF page or an image from imgtable ocr import TesseractOCRfrom imgtable document import Image Instantiation of OCRocr TesseractOCR n threads lang eng Instantiation of document either an image or a PDFdoc Image src dpi Table extractionextracted tables doc extract tables ocr ocr implicit rows True borderless tables False min confidence Most of the parameters have been discussed earlier when working with images and PDF but there are new parameters ocr is the instance used to parse document text implicit rows is a Boolean type indicating if implicit rows should be identified borderless tables indicates if borderless tables are extracted and lastly min confidence is the minimum confidence level from OCR in order to process text from the worst to the best ConclusionThe OpenCV python library and OpenCV are both used for all of the image processing The Hough Transform which recognizes lines in an image serves as the algorithm s foundation It enables us to recognize the image s horizontal and vertical lines The library really doesn t have much more to it because the intention was to keep it as straightforward as possible in order to avoid any potential complications that might arise from using other approaches View the project s documentation on GitHub Let s connect on Twitter and on LinkedIn You can also subscribe to my YouTube channel Happy Coding	2023-02-27 11:02:09
Apple	AppleInsider - Frontpage News	Apple's 5G modem is going to debut sooner than expected, says Qualcomm CEO	https://appleinsider.com/articles/23/02/27/apples-5g-modem-is-going-to-debut-sooner-than-expected-says-qualcomm-ceo?utm_medium=rss	Apple x s G modem is going to debut sooner than expected says Qualcomm CEOThe iPhone will be the last model with a Qualcomm G chip if the modem supplier s CEO is right Apple has long been working on making its own G modem chipset to replace the ones it buys from Qualcomm While there have been many rumors of when that will happen previously it was confirmed that Qualcomm will continue for at least the next iPhone Now Qualcomm CEO and President Cristiano Amon has spoken publicly about when Apple will replace his company s product Read more	2023-02-27 11:55:12
Apple	AppleInsider - Frontpage News	Gmail 2023 review: Free features still come at a cost	https://appleinsider.com/articles/23/02/27/gmail-2023-review-free-features-still-come-at-a-cost?utm_medium=rss	Gmail review Free features still come at a costA decade after its launch Gmail is a feature rich productivity tool and one of the most popular email services worldwide It is free to use but only if you are willing to pay with your privacy Google s Gmail email service offers many free features like Google MeetFor many users who send dozens of emails daily a feature rich email service with many options can work wonders to improve their workflow It s also easy to get your inbox set up in minutes with a free Google account which is another reason why Gmail is so popular Read more	2023-02-27 11:49:52
Apple	AppleInsider - Frontpage News	Thieves are ripping AirPods Max off heads in NYC	https://appleinsider.com/articles/23/02/27/thieves-are-ripping-airpods-max-off-heads-in-nyc?utm_medium=rss	Thieves are ripping AirPods Max off heads in NYCThieves are targeting owners of the AirPods Max in New York City with a number of victims having their premium personal audio accessories stolen off their head AirPods MaxStarting from January thefts of the AirPods Max began in New York City Thieves have struck at least times in each case doing so by simply taking the headphones from a victim s head while they re wearing it in day to day life Read more	2023-02-27 11:49:04
Apple	AppleInsider - Frontpage News	Privacy is paramount with Health features, says Apple VP	https://appleinsider.com/articles/23/02/27/privacy-is-paramount-with-health-features-says-apple-vp?utm_medium=rss	Privacy is paramount with Health features says Apple VPDr Sumbul Desai spoke at BioAsia about Apple s aims with preventative health researching women s health data and keeping information secure Dr Sumbul DesaiApple s vice president of Health has continued her occasional talks promoting the company with an interview at the BioAsia conference in Hyderabad in the Indian state of Telangana According to local publication BizzBuzz News she participated in a fireside chat with Sangita Reddy Joint Managing Director of Apollo Hospitals during the weekend of February Read more	2023-02-27 11:21:59
海外TECH	Engadget	Google is bringing a bunch of new features to Android and Wear OS	https://www.engadget.com/google-mwc-2023-feature-update-android-wear-os-112426636.html?src=rss	Google is bringing a bunch of new features to Android and Wear OSThe advent of MWC is always an opportunity for Google to shine a light on some smaller but still useful tweaks to its ecosystems This year the Android giant is unveiling a raft of minor additions to Android and Wear OS designed to further smooth the bumps in your digital life That includes a new widget for Google Keep that ll let you check off to do lists from the comfort of your home screen You ll also get the ability to with a compatible watch let you dictate notes and to do list items from your wrist Another more notable change is improved noise cancellation in Google Meet when used on some Android devices The company says that much like the feature as it already exists you ll find the noise of nearby construction or other distractions will be crunched to oblivion while you chat And on the audio front Google says that you ll soon be able to use Chrome OS Fast Pair feature to connect new Bluetooth headphones to your machine with a single tap Less notable additions include the ability to mash together different emoji to offer a more topic relevant response In the example you can merge the Basketball emoji with the Heart Eyes to give you either a heart shaped basketball or add a basketball like texture to those same heart eyes Similarly Android handsets will get new tap to pay animations to bring some cartoonish cheer to balance out the misery of spending money on things And on the accessibility front Chrome on Android will now let you zoom the size of content by up to percent while preserving page layout Wear OS meanwhile will offer Mono audio for those who might be distracted by stereo as well as grayscale and color correction modes for your watch display for easier viewing If you re interested in learning more about this you can check out Google s full and comprehensive work up of all the features over at its blog	2023-02-27 11:24:26
医療系	医療介護 CBnews	電子処方箋、9月以降普及加速へ-診療報酬で後押し視野、厚労省	https://www.cbnews.jp/news/entry/20230227202944	健康保険証	2023-02-27 20:45:00
ニュース	@日本経済新聞 電子版	おひとり様は備えを厚く　収入減に保険、介護へ貯蓄 https://t.co/TJdjN0oHPG https://t.co/M4MeYQ5rXc	https://twitter.com/nikkei/statuses/1630176018534129665	収入	2023-02-27 12:00:24
ニュース	@日本経済新聞 電子版	物言う株主、東証に便乗　「PBR1倍超」要請受け https://t.co/4bWeT8Fnp6	https://twitter.com/nikkei/statuses/1630171626032730112	物言う株主	2023-02-27 11:42:57
ニュース	@日本経済新聞 電子版	鼻スプレー型のインフルワクチンを了承　厚労省専門部会 https://t.co/36fw0pAYAP	https://twitter.com/nikkei/statuses/1630171358662635523	専門	2023-02-27 11:41:53
ニュース	@日本経済新聞 電子版	食材の冷凍保存、下味つけて　乾燥防ぎ調理の手間減らす https://t.co/ys32Y31Nh1	https://twitter.com/nikkei/statuses/1630169348651331586	食材	2023-02-27 11:33:54
ニュース	@日本経済新聞 電子版	日本製紙、新聞用紙の値上げ要請　４月納入分から https://t.co/lZYs7AcfOR	https://twitter.com/nikkei/statuses/1630169121580257280	新聞用紙	2023-02-27 11:33:00
ニュース	@日本経済新聞 電子版	日本郵政が傘下のゆうちょ銀行の株式を3月にも売却。出資比率は現在の89％から60％程度に。今後50%以下まで下がれば、ゆうちょ銀が新規業務に参入しやすくなるとみられます。 #日経特報 https://t.co/6ttVvZ3f0s	https://twitter.com/nikkei/statuses/1630168449472184322	日本郵政が傘下のゆうちょ銀行の株式を月にも売却。	2023-02-27 11:30:20
ニュース	@日本経済新聞 電子版	コニカミノルタの執行役員を務め、「イノベーション推進室」を率いる32歳の起業家、森竜太郎さん。世界を変えられるのはテクノロジーだと信じ、それを実現する強いチームがほしいと考えて大企業の門をたたきました。… https://t.co/Jz4vThhsgb	https://twitter.com/nikkei/statuses/1630164600246214659	コニカミノルタの執行役員を務め、「イノベーション推進室」を率いる歳の起業家、森竜太郎さん。	2023-02-27 11:15:02
ニュース	@日本経済新聞 電子版	生誕100年、司馬遼太郎を読む　21世紀見通す道標に https://t.co/OvbXEbacqT	https://twitter.com/nikkei/statuses/1630161032751771649	司馬遼太郎	2023-02-27 11:00:51
ニュース	BBC News - Home	New IRA admits shooting top police officer John Caldwell	https://www.bbc.co.uk/news/uk-northern-ireland-64783661?at_medium=RSS&at_campaign=KARANGA	omagh	2023-02-27 11:50:59
ニュース	BBC News - Home	Italy migrant boat shipwreck: More than 100 people feared dead	https://www.bbc.co.uk/news/world-europe-64784208?at_medium=RSS&at_campaign=KARANGA	rough	2023-02-27 11:14:23
ニュース	BBC News - Home	Lidl limits sales of tomatoes, cucumbers and peppers	https://www.bbc.co.uk/news/business-64785676?at_medium=RSS&at_campaign=KARANGA	certain	2023-02-27 11:50:40
ニュース	BBC News - Home	What is the energy price cap and what will happen to my bills?	https://www.bbc.co.uk/news/business-58090533?at_medium=RSS&at_campaign=KARANGA	april	2023-02-27 11:48:13