投稿時間:2023-02-28 08:29:19 RSSフィード2023-02-28 08:00 分まとめ(39件)

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IT	ITmedia 総合記事一覧	[ITmedia エグゼクティブ] BTSのヒット曲「Dynamite」を再現する大人向けレゴが登場	https://mag.executive.itmedia.co.jp/executive/articles/2302/28/news051.html	dynamite	2023-02-28 07:08:00
IT	ITmedia 総合記事一覧	[ITmedia エグゼクティブ] コミュニケーションの質が一変！　心理カウンセラーの「聞く技術」とトレーニング法	https://mag.executive.itmedia.co.jp/executive/articles/2302/28/news029.html	itmedia	2023-02-28 07:06:00
IT	ITmedia 総合記事一覧	[ITmedia エグゼクティブ] 第11回：世界の潮流は「これからのリーダーはEQの高いリーダー」。日本にも根付くか？	https://mag.executive.itmedia.co.jp/executive/articles/2302/28/news028.html	itmedia	2023-02-28 07:05:00
IT	ビジネス+IT 最新ニュース	対話型AIは「仕事」を激変させる？ 日本では「企業内失業者」が増えるかもしれない理由	https://www.sbbit.jp/article/cont1/107846?ref=rss	人工知能	2023-02-28 07:10:00
AWS	AWS Japan Blog	たった数枚の画像で Stable Diffusion をファインチューニングできる効率的な Amazon SageMaker JumpStart の使い方	https://aws.amazon.com/jp/blogs/news/fine-tune-text-to-image-stable-diffusion-models-with-amazon-sagemaker-jumpstart/	amazonsagemakerjumpstart	2023-02-27 22:26:40
AWS	AWS	AWS + NHL: The Puck Drops Here | Amazon Web Services	https://www.youtube.com/watch?v=NljxJD8je2Q	AWS NHL The Puck Drops Here Amazon Web ServicesNational Hockey League fans can now know where a puck s likely to go before it even drops The league partnered with AWS to create Face Off Probabilityーa predictive NHL Edge IQ stat that analyzes a decade of data in a millisecond to point to a likely face off winner That s hundreds of thousands of historic plays processed with Machine Learning If AWS can power NHL Edge IQ imagine what it can do for your business Learn more about AWS and the NHL Subscribe More AWS videos More AWS events videos ABOUT AWSAmazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform offering over fully featured services from data centers globally Millions of customers ーincluding the fastest growing startups largest enterprises and leading government agencies ーare using AWS to lower costs become more agile and innovate faster AWS NHL MachineLearning AmazonWebServices CloudComputing	2023-02-27 22:04:47
技術ブログ	Developers.IO	[アップデート] Amazon Location Service で API キーがプレビューでサポートされました	https://dev.classmethod.jp/articles/amazon-location-service-api-key-preview-support/	amazonlocationservice	2023-02-27 22:12:01
海外TECH	Ars Technica	More trepanation news: Evidence of brain surgery in Bronze Age Israel	https://arstechnica.com/?p=1920201	bronze	2023-02-27 22:34:42
海外TECH	DEV Community	Building the Amplidex; A GraphQL Powered Pokedex	https://dev.to/amplication/building-the-amplidex-a-graphql-powered-pokedex-1pd2	Building the Amplidex A GraphQL Powered PokedexHello there Welcome to the world of Amplication My name is Michael people refer to me as Amplication s Developer Advocate Today I want to show you how to build a backend GraphQL API using Amplication and some other valuable bits such as how to seed a database using Prisma and how to scrape data off the internet Consider this a weekend project to build something fun and exciting using open source technologies and best practices with a straightforward to follow guide The web is inhabited far and wide by backend servers For some people they like to communicate with a backend using GraphQL Others prefer traditional REST API requests As for myself I help developers build these backends that power the web Your very own Amplication legend is about to unfold A world of dreams and adventures with Amplication awaits Let s go All kidding aside I woke up on February th to see that Mewtwo was trending on Twitter So naturally as a genwunner I felt compelled to learn more about why Mewtwo was trending I discovered that February th is Mewtwo s birthday And that inspired this entire post OnThisDayInGaming onthisdaygaming Today is mewtwo s birthday PM Feb With all that said I have a request for you Below is a crash course on building a Pokedex GraphQL API using Amplication and data scraped from Bulbapedia It ll be a high tech encyclopedia So read on and let s create something fun together Building the Pokedex a Pokemon EncyclopediaBefore we can even begin to log all Pokemon we first need to have someplace to log them A Pokedex so to speak But we live in a modern world where everything is connected to the internet so we re going to create a Pokedex that can serve many Pokemon trainers worldwide But of course this requires a backend server and to build our backend server we ll need Amplication So head to app amplication com and sign in to get started Add a new project to your workspace I m calling mine Amplidex Once the project is created add a service resource and use the default settings This service will be the backbone of our Pokedex as it ll be serving all of the data on the different monsters typings and generations it s not a complex Pokedex but it s more than enough to showcase what s possible With that in mind we ll create three entities in this service GenerationMonsterTypingFor both the Generation and Typing entities add a field and call it Name The Name field will be a single line text field additionally it should be a unique field a required field and searchable At some point we ll add a field called Monsters to these two entities allowing us to search for Pokemon based on their generation or typings This relation will be created from inside the Monster entity So let s move to the Monster entity and add the following fields with the configurations shown in the sub bullet points NameUnique FieldRequired FieldSearchableSingle Line TextDex NumberUnique FieldRequired FieldSearchableWhole NumberBiologyRequired FieldSearchableMulti Line TextURLUnique FieldRequired FieldSearchableSingle Line TextImageRequired FieldSearchableSingle Line TextThis is all helpful information for a Pokedex Look through the different configuration options You ll see how much control Amplication provides for the data you want to store and how easy it is to validate and protect data being written to your backend and database In the last two fields we ll add our Generation and Typing Starting with Generation Amplication looks through your entities and sees that you have an entity called Generation Amplication will suggest that a Monster s Generation field should be related to the Generation entity which is precisely what we want One monster can only be related to one generation so select that option when creating the relationship Also remember to set the field to be required and searchable Now create your Typing field and like with the Generation field above Amplication will attempt to build a relation between the field and the entity In this case though a Pokemon can have multiple typings so be sure to select one monster can be related to many typings Again remember to set the field to be required and searchable For this Pokedex to work for everyone to use we will need to make one change to our Amplication service which is to make some of the entities actions public By default all requests mutations and queries to an Amplication generated backend require a user to be authenticated For this backend we want to allow any developer to be able to search it Therefore we want to set the View and Search actions to Public for our newly created entities Monster Generation and Typing Click into an entity and select Permissions on the left hand side you ll be greeted with a robust UI for protecting your entities Make sure to set the View and Search actions to Public here For a deeper dive into how to use entity permissions check out this article on the Amplication docs site With the Pokedex backend created you ll want to run the code locally to continue this guide This requires syncing code to GitHub and then cloning it locally Assuming you re comfortable with git commands such as git clone check out this article on the Amplication docs site to learn how to sync your code to GitHub Gotta Scrape Em AllNicely done trainer you now have a Pokedex but you still need to see all Pokemon That s ok Rather than being years old for the next years there s an easier way to get all the data we need Bulbapedia has all the data we need it may be challenging to scrape but here I ll walk you through all the steps to get the data we need If you still need to clone the Amplication code from GitHub now is the time to do it Once you ve done that open the server folder in your IDE as that s where we ll be doing all of our work and create a new folder called data Then inside the data folder create a file called scraper ts Our scraper will depend on a few libraries not installed on the Amplication generated server so run the following commands to install all existing dependencies and then add the few remaining dependencies we need npm inpm i D types node cheerio isomorphic unfetchIn the scraper ts file copy the following code and we ll work through the rest of the scraper import load from cheerio import writeFileSync from fs import fetch from isomorphic unfetch import URL from node url async gt const stop Pok C Amon let url stop const pokedex any Take a look at the stop variable You should see that it s a URL if you click on it you ll be sent to the Bulbasaur entry in Bulbapedia Bulbasaur is the first Pokemon in the National Pokedex so it ll be the first Pokemon we scrape It ll also be how we know when we get to the end of the National Dex The way our scraper will work is as we scrape a Pokemon we ll also scrape the URL of the next Pokemon in the Dex and then scrape that one When we get to the last Pokemon rather than having no next Pokemon Bulbapedia loops back to the first Pokemon This is how we know we ve reached the end So the url variable will keep updating as we scrape Bulbapedia in a do while loop and once the value of url becomes the stop value again we stop the loop Calculating a Pokemon s GenerationOne piece of information that Bulbapedia doesn t make easy to extract is what generation a Pokemon first appeared in It is easy to figure out though as the Pokemon s index in the National Dex allows us to derive the generation it belongs to Copy the following function into scraper ts to determine to which generation a Pokemon belongs Returns what generation a Pokemon belongs to based on their Pokedex number param num Pokedex number returns number const calculateGeneration num number number gt if num lt return if num lt return if num lt return if num lt return if num lt return if num lt return if num lt return if num lt return if num lt return return Creating the Scraping LoopNow we begin the scraping As mentioned above we ll execute a do while loop to figure this out Add the following code to the scraper do const response await fetch url const body await response text const load body while url stop The first step of the loop is making an HTTP GET request to the Bulbapedia entry of a Pokemon starting with Bulbasaur We get the response convert it into plain text and load it into cheerio Cheerio is an implementation of core jQuery designed to run in the server it s also what we ll use to rip data of the Pokemon for our Pokedex Scraping the DataThe first field we ll want to get is a Pokemon s name Thankfully all entries in Bulbapedia have an H heading with an id of firstHeading which makes it easy to pull The only issue is that all Pokemon entries are suffixed with Pokémon so we ll want to remove that So add the following code to the do while loop to scrape a Pokemon s name Grab name of Pokemon and remove Pokémon from stringconst name firstHeading text replace Pokémon The following field we need is the Dex number This information requires some work to rip but only a little more We want to store the Dex number as an actual number However Bulbapedia provides the number as a string prefixed with an octothorpe Copy the following code to the do while loop to scrape a Pokemon s Dex number Get Pokedex number of Pokemon and convert into a numberconst dexNumber parseInt big gt a title List of Pokémon by National Pokédex number gt span text replace Getting the image URL of a Pokemon is somewhat straightforward as thankfully all of them are wrapped in an A tag with a href that starts with wiki File so we ll use that in our query selector to get the IMG s src attribute value Since it doesn t have the protocol in the URL we ll manually add the HTTPS Get Pokemon s pictureconst image https a href wiki File gt img attr src Getting a Pokemon s biology information is a little more complex It s not neatly wrapped in an element from which we can get the text So we have to find the heading element of the Biology section of the page instead and then iterate over its sibling elements until we reach the next heading We ll get the text content of every P tag after the Biology heading until we reach the next heading which symbolizes a new section Rip Pokemon s biologylet biologyStart h gt Biology parent next const biology string while biologyStart is h biology push biologyStart text biologyStart biologyStart next The dirtiest part of this code is getting the typings of a Pokemon There is no easy way to do it It gets more complex because some Pokemon have regional forms mega evolutions terastallized forms etc all of which may have different typing than their base form Thankfully I m not an actual Pokemon professor just a Developer Advocate So we ll get all the types regardless of forms capitalize them and eliminate duplicates Bulbapedia does some weird things with its typings and you can get a lot of Unknown types just go with the code below and trust it works Get Pokemon s typings and clean dataconst types mw content text gt div gt table gt tbody gt tr gt td gt table gt tbody gt tr gt td gt table gt tbody gt tr gt td gt a title type b toArray const typing Array from new Set types map e gt e children as any data as string toUpperCase filter e gt e UNKNOWN Now we re ready to create our Pokemon object and put it into our Pokedex array We ll also need to calculate the generation the Pokemon belongs to and then join all of the biology paragraphs together The following code does all of that for us Create Pokemon object and push into Pokedexconst pokemon biology biology join trim dexNumber generation calculateGeneration dexNumber image name typing url pokedex push pokemon For the loop to work we need to make sure we get the URL of the next Pokemon The final bit of code inside the do while loop will get that URL and assign it to the url variable Set next Pokemon s URLurl new URL mw content text gt div gt table gt tbody gt tr gt td gt table gt tbody gt tr gt td style text align left gt a attr href as string toString Saving All Pokemon DataThe scraper will loop through all the Pokemon on Bulbapedia until it reaches Miraidon Once on Miraidon the next Pokemon will be Bulbasaur and the while condition will be met breaking the do while loop Once we ve scraped all the Pokemon we ll need to save that data to seed into our Pokedex backend Add the following line after the do while loop writeFileSync data pokedex json JSON stringify pokedex null t With everything set let s scrape the data Open up a terminal window and navigate to the root of the server folder Run the command ts node data scraper ts and wait After a minute or so you ll have a file called pokedex json in the data folder with details on every Pokemon View the full scraper ts file here on GitHub Creating a Custom SeedWhen running an Amplication project locally you must take a few steps including configuring and seeding your database We have all the data of our Pokemon so we ll want to populate that data into the backend By default Amplication created an admin user but has a file that allows us to seed our database with whatever information we want To get started we need to generate the Prisma client which the Node js app uses to communicate with the database Run the following command npm run prisma generateNow open the file scripts customSeed ts in the server folder Delete everything in the file and copy in the following import Generation PrismaClient Typing from prisma client import pokedex from data pokedex json export async function customSeed const client new PrismaClient client disconnect Seeding Generation amp Typing DataWe ll start by seeding the database with all the generation information of our Pokemon This works by looping through all the Pokemon in the pokedex json that the scraper creates taking the generation field and prefixing it with the text Generation This will lead to many duplicates so we ll put it all into a Set to filter out duplicates and then convert it back into an Array We ll then loop through the de duped generations and upsert them in our database We upsert because if the generation already exists we can update the field and get all the information from our database instead of creating a new one We want to get the information of the generation from our database in order to map a Pokemon to a generation later on Copy the following data into the customSeed function after the client is initialized and before client disconnect is called Load Pokemon Generationsconst generationsInserted Generation const generations Array from new Set pokedex reduce acc string cur gt acc Generation cur generation for const generation of generations const result await client generation upsert where name generation update name generation create name generation generationsInserted push result Seeding the typing data of our Pokemon follows an almost identical process to the generation data First we ll take all the Pokemon and loop over them We ll take each Pokemon s typings and flatten the data so all the types of Pokemon are inside of one Array Then to de dupe the typings we ll pass the Array into a Set and convert it back into an Array We ll also upsert the typing data not to introduce duplicate data into the database and to get the typing data from the database to map each Pokemon to its typing Copy into the customSeed function the following code Load Pokemon Typingsconst typingsInserted Typing const typings Array from new Set pokedex reduce acc string cur gt acc cur typing for const typing of typings const result await client typing upsert where name typing update name typing create name typing typingsInserted push result Functions to Get Generations and TypingsWith the typing and generation data securely in the database we also have the necessary data to connect our Pokemon to them As we upserted both bits of data we also pushed the results into two different Arrays To figure out the unique identifiers UID for any generation or typing we ll create two functions that will loop through the data from the database and return the UID of the corresponding generation or type const getGeneration gen number string gt for const generation of generationsInserted if generation name Generation gen return generation id return const getTyping type string string gt for const typing of typingsInserted if typing name type return typing id return Now when we add our Pokemon data to the database we can also link them to the appropriate generation and typings by calling on these two functions Seeding Pokemon DataEverything is in place and now we must add our Pokemon data to the database The process is as simple as a for loop but now would be a good point to explain how we ve been using the upsert function for our entities Copy the code below and then read on for an explanation for const pokemon of pokedex await client monster upsert where name pokemon name update name pokemon name create biology pokemon biology dexNumber pokemon dexNumber generation connect id getGeneration pokemon generation image pokemon image name pokemon name url pokemon url typing connect pokemon typing map t string gt id getTyping t The upsert method takes in an argument of an object and the object has three fields where update and create The where property is how we know which object in our Monsters entity to upsert We don t have the UID of a Pokemon but we do have its name which was set to be a unique field when we created the field as mentioned earlier So when upserting we tell Prisma to only upsert a Pokemon with that specific name and we know there will only be one entry with that name since the name has been marked as unique The update field is only run when the Pokemon declared in the where field is found While we hope to seed the database only once in case this function is rerun the upsert function allows us to safely execute the code without throwing errors So if the Pokemon is found we ll have to update the data and to keep things from getting messy we only reassign the name to the same name Finally there is the create field When a Pokemon isn t found with the where field we ll want to insert a new Pokemon into the database While most of the fields of the Pokemon data from the pokedex json are mapped to the same name in the create field s object the generation and typing fields are a bit different To link typing to the Typing entity and generation to the Generation entity we use connect to create the relationship between the Monster and Generation or Typing View the full customSeed ts file here on GitHub Creating and Seeding the DatabaseFinally it s time to seed the database with all the Pokemon data we ve scraped First we ll need a database to seed into but Amplication makes that easy Included by default in the server folder is a file called docker compose db yml with the configuration required to spin up a PostgreSQL instance When you run the backend locally it ll be configured to connect to this instance The only catch is that you ll need to have Docker installed and running If you still need to set up Docker check out their getting started guide With Docker installed and running execute the following command npm run docker dbRun this command to initialize the database by creating the necessary schemas and seeding the database using the logic we added to the customSeed ts file npm run db init Querying the PokedexYou ve done it You ve found all Pokemon and added them to your own Pokedex that you made with the help of Amplication I bet you want to see the fruits of your labor Let s run the server with the following command npm startAfter a minute or so the server should be up and running at localhost though that URL won t do much Instead you should visit localhost graphql to be greeted by the GraphQL Playground if you re interested in testing traditional REST API endpoints visit localhost api instead Clicking on DOCS and SCHEMA on the right hand side will show you everything you can do and see using Pokedex Below is a sample query you can try yourself and the query variables you need to get something Put them in and run the query to see what you get query monsters where MonsterWhereInput monsters where where name where name contains Mew Wrapping UpWith everything we ve done up until now we ve created the best Pokedex application with the help of Amplication and Bulbapedia This may be an exaggeration but there aren t that many public guides or APIs for something like this I m hoping this guide showed you how to Build a backend using AmplicationScrape data off of the internetHow to seed a databaseTo test the Pokedex GraphQL API we re hosting a live version here Remember to join our developer community on Discord if you like the project and what we re doing give us a star on GitHub Finally the source code for this project is available on GitHub and there s a video guide that you can follow along with the build your Pokedex available on YouTube	2023-02-27 22:40:34
海外TECH	Engadget	Meta is working on 'AI personas' for Instagram, Messenger and WhatsApp	https://www.engadget.com/meta-is-working-on-ai-personas-for-instagram-messenger-and-whatsapp-223316961.html?src=rss	Meta is working on x AI personas x for Instagram Messenger and WhatsAppMeta is joining Google Microsoft and other big names in throwing its weight behind ChatGPT style AI Mark Zuckerberg has revealed that his company plans to develop AI personas in the long term It s currently investigating helpers for multiple media formats You could see advanced chat features in Messenger and WhatsApp or unique Instagram filters and ads Video and multi modal content could also benefit Zuckerberg says In the near future you ll see an emphasis on tools for creation and expression The social media giant is also pooling its generative AI teams into a single group to help turbocharge efforts in the emerging field the executive adds He doesn t provide more details and cautions that there s a lot of foundational work to do before the most advanced projects come to fruition The company isn t new to some level of user facing AI It introduced chatbots to Messenger in for example This represents a significant expansion however and isn t surprising given the industry s growing focus on generative AI Internet behemoths like Google reportedly feel competitive pressure from OpenAI s ChatGPT as it could theoretically undermine search and other key businesses Zuckerberg said during Meta s latest earnings call that he wanted the firm to be a leader in generative AI but this may also represent a defensive tool nbsp The shift doesn t come at a great moment however Meta s revenues are still shrinking and its pivot to the metaverse is costing billions of dollars at its Reality Labs unit It recently slashed over jobs to cut costs and weather a rough economy While platforms like Facebook and Instagram continue to gain users the company isn t as stable as it once was	2023-02-27 22:33:16
金融	金融総合：経済レポート一覧	FX Daily（2月24日）～米インフレ加速を確認、136円台に上伸	http://www3.keizaireport.com/report.php/RID/527821/?rss	fxdaily	2023-02-28 00:00:00
金融	金融総合：経済レポート一覧	日本銀行首脳に求められる国際性とは何か	http://www3.keizaireport.com/report.php/RID/527831/?rss	impact	2023-02-28 00:00:00
金融	金融総合：経済レポート一覧	JCER金融ストレス指数は0.090　2023年2月27日公表～次期日銀総裁候補の植田氏、金融緩和の継続を表明。マーケットはいったん株高・円安で反応、ストレスは相対的に低位維持	http://www3.keizaireport.com/report.php/RID/527850/?rss	日本経済研究センター	2023-02-28 00:00:00
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金融	金融総合：経済レポート一覧	新興国通貨の基礎知識 メキシコ(2023年1月改訂版)	http://www3.keizaireport.com/report.php/RID/527941/?rss	新興国通貨	2023-02-28 00:00:00
金融	金融総合：経済レポート一覧	貸金業界の月次統計資料の公表について（2023年2月公表分）～消費者向無担保貸付の月末貸付残高は3兆9288億円、前年同月比+2.1%	http://www3.keizaireport.com/report.php/RID/527942/?rss	日本貸金業協会	2023-02-28 00:00:00
金融	金融総合：経済レポート一覧	株価指数価格変動と現物・先物取引活動の関係の実証分析：先物・オプションレポート 2023年2月号	http://www3.keizaireport.com/report.php/RID/527943/?rss	先物取引	2023-02-28 00:00:00
金融	金融総合：経済レポート一覧	【注目検索キーワード】アニマルウェルフェア	http://search.keizaireport.com/search.php/-/keyword=アニマルウェルフェア/?rss	検索キーワード	2023-02-28 00:00:00
金融	金融総合：経済レポート一覧	【お薦め書籍】1300万件のクチコミでわかった超優良企業	https://www.amazon.co.jp/exec/obidos/ASIN/4492534628/keizaireport-22/	転職	2023-02-28 00:00:00
ニュース	BBC News - Home	Rishi Sunak hails new NI Brexit deal but DUP concerns remain	https://www.bbc.co.uk/news/uk-politics-64789639?at_medium=RSS&at_campaign=KARANGA	express	2023-02-27 22:37:48
ニュース	BBC News - Home	Israeli-American killed in West Bank as unrest intensifies	https://www.bbc.co.uk/news/world-middle-east-64793715?at_medium=RSS&at_campaign=KARANGA	palestinian	2023-02-27 22:19:33
ニュース	BBC News - Home	Lionel Messi: Argentina forward wins Best Fifa men's player of the year award	https://www.bbc.co.uk/sport/football/64790342?at_medium=RSS&at_campaign=KARANGA	Lionel Messi Argentina forward wins Best Fifa men x s player of the year awardArgentina and Paris St Germain forward Lionel Messi is named the men s player of the year at the Best Fifa Awards	2023-02-27 22:10:54
ニュース	BBC News - Home	Best Fifa awards 2022: Sarina Wiegman and Alexia Putellas win major women's honours	https://www.bbc.co.uk/sport/football/64789718?at_medium=RSS&at_campaign=KARANGA	Best Fifa awards Sarina Wiegman and Alexia Putellaswin major women x s honoursEngland manager Sarina Wiegman is named women s coach of the year at the Best Fifa Awards while Spain s Alexia Putellasis the women s player of the year	2023-02-27 22:50:51
ビジネス	ダイヤモンド・オンライン - 新着記事	米出版大手、「ディルバート」作者の新著出版見送り　差別的発言受け - WSJ発	https://diamond.jp/articles/-/318585	見送り	2023-02-28 07:14:00
ビジネス	ダイヤモンド・オンライン - 新着記事	米スナップ、「My AI」チャットボットを発表　オープンAI技術利用 - WSJ発	https://diamond.jp/articles/-/318587	発表	2023-02-28 07:01:00
ビジネス	ダイヤモンド・オンライン - 新着記事	露骨な画像削除、米で若者向けツール　メタも支援 - WSJ発	https://diamond.jp/articles/-/318586	若者向け	2023-02-28 07:01:00