投稿時間:2023-06-21 01:30:22 RSSフィード2023-06-21 01:00 分まとめ(34件)

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AWS	AWS Partner Network (APN) Blog	Say Hello to 176 AWS Competency, Service Delivery, Service Ready, and MSP Partners Added or Renewed in May	https://aws.amazon.com/blogs/apn/say-hello-to-176-aws-competency-service-delivery-service-ready-and-msp-partners-added-or-renewed-in-may/	Say Hello to AWS Competency Service Delivery Service Ready and MSP Partners Added or Renewed in MayWe are excited to highlight AWS Partners that received new or renewed designations in May for our global AWS Competency AWS Managed Service Provider MSP AWS Service Delivery and AWS Service Ready programs These designations span workload solution and industry and help AWS customers identify top AWS Partners that can deliver on core business objectives AWS Partners are focused on your success helping customers take full advantage of the business benefits AWS has to offer	2023-06-20 15:57:28
AWS	AWS Partner Network (APN) Blog	Using Computer Vision to Enable Digital Building Twins with NavVis and AWS	https://aws.amazon.com/blogs/apn/using-computer-vision-to-enable-digital-building-twins-with-navvis-and-aws/	Using Computer Vision to Enable Digital Building Twins with NavVis and AWSManaging existing brownfield buildings is a challenging task because teams usually lack accurate ground truth data Object detection algorithms are a key technology to automate and scale the creation of a digital building twin providing a solution to this challenge For detecting objects in indoor environments with machine learning learn how NavVis and AWS collaborated to build a digital building twin for a large industry customer	2023-06-20 15:39:16
AWS	AWSタグが付けられた新着投稿 - Qiita	TwinMakerで3Dの人間に走るモーションをさせてみる	https://qiita.com/ShotaOki/items/07703e48d6ea4f72c35b	iotappkit	2023-06-21 00:07:23
AWS	AWSタグが付けられた新着投稿 - Qiita	Amazon InspectorのSBOM出力を試してみた	https://qiita.com/korizato/items/bb94a9eedc45b7c01e37	amazoninspector	2023-06-21 00:06:45
Docker	dockerタグが付けられた新着投稿 - Qiita	[Docker] ラズパイのsyslogをKibanaで閲覧する [EFKスタック]	https://qiita.com/t13801206/items/5018dc1831340381437f	docker	2023-06-21 00:09:24
Git	Gitタグが付けられた新着投稿 - Qiita	GitでpushしようとしたらPlease make sure you have the correct access rights and the repository exists.というエラーが出た	https://qiita.com/kuuuuumiiiii/items/78a2a4378ff718fae808	access	2023-06-21 00:18:38
技術ブログ	Mercari Engineering Blog	メルカリShopsのQA活動を支える技術とQAチームの取り組み	https://engineering.mercari.com/blog/entry/20230617-7f9d4c6486/	hellip	2023-06-20 17:00:10
技術ブログ	Developers.IO	Azure CLI でサブスクリプションにロールを割り当ててみた	https://dev.classmethod.jp/articles/assign-role-to-subscription-in-azure-cli/	azure	2023-06-20 15:50:58
海外TECH	MakeUseOf	How to Program Your Raspberry Pi Pico With the Arduino IDE	https://www.makeuseof.com/raspberry-pi-pico-program-with-arduino-ide/	arduino	2023-06-20 15:30:17
海外TECH	MakeUseOf	7 Benefits of Using AI in Wearables and IoT Devices	https://www.makeuseof.com/benefits-of-using-ai-wearables-iot-devices/	artificial	2023-06-20 15:15:18
海外TECH	MakeUseOf	10 Fixes for When Your iPhone Apps Keep Crashing	https://www.makeuseof.com/tag/iphone-ios-apps-keep-crashing-try-fixes/	iphone	2023-06-20 15:15:19
海外TECH	MakeUseOf	The 7 Best Note-Taking Apps for Windows Pen Tablet Users	https://www.makeuseof.com/note-taking-apps-windows-pen-tablet-users/	tablet	2023-06-20 15:15:18
海外TECH	DEV Community	Moderating text with the Natural Language API	https://dev.to/googlecloud/moderating-text-with-the-natural-language-api-42il	Moderating text with the Natural Language APIThe Natural Language API lets you extract information from unstructured text using Google machine learning and provides a solution to the following problems Sentiment analysisEntity analysisEntity sentiment analysisSyntax analysisContent classificationText moderation preview Image credits Da Nina on Unsplash Moderation categoriesText moderation now available in preview lets you detect sensitive or harmful content The first moderation category that comes to mind is toxicity but there can be many more topics of interest A PaLM based model powers the predictions and scores categories ToxicInsultPublic SafetyWar amp ConflictDerogatoryProfanityHealthFinanceViolentDeath Harm amp TragedyReligion amp BeliefPoliticsSexualFirearms amp WeaponsIllicit DrugsLegal Moderating textLike always you can call the API through the REST RPC interfaces or with idiomatic client libraries Here is an example using the Python client library google cloud language and the moderate text method from google cloud import languagedef moderate text text str gt language ModerateTextResponse client language LanguageServiceClient document language Document content text type language Document Type PLAIN TEXT return client moderate text document document text I have to read Ulysses by James Joyce n I m a little over halfway through and I hate it n What a pile of garbage response moderate text text It s fast The model latency is very low allowing real time analyses The response contains confidence scores for each moderation category Let s sort them out import pandas as pddef confidence category language ClassificationCategory gt float return category confidencecolumns category confidence categories sorted response moderation categories key confidence reverse True data category name category confidence for category in categories df pd DataFrame columns columns data data print f Text analyzed n text n print f Moderation categories n df You may typically ignore scores below and calibrate your solution by defining upper limits or buckets for the confidence scores In this example depending on your thresholds you may flag the text as disrespectful toxic and insulting Text analyzed I have to read Ulysses by James Joyce I m a little over halfway through and I hate it What a pile of garbage Moderation categories category confidence Toxic Insult Profanity Violent Politics Death Harm amp Tragedy Finance Religion amp Belief Legal Health Illicit Drugs Firearms amp Weapons Derogatory War amp Conflict Public Safety Sexual MoreRun this Colab notebook Using the Natural Language APISee the supported languagesRead more about text moderationFollow me on Twitter or LinkedIn for more cloud explorations	2023-06-20 15:46:47
海外TECH	DEV Community	Will our functions transform into AI text prompts from interpreter instructions?	https://dev.to/kramin_alexey/will-our-functions-transform-into-ai-text-prompts-from-interpreter-instructions-55a7	Will our functions transform into AI text prompts from interpreter instructions I ve been implemented a JavaScript AI emoji generator recently And as OpenAI API responses are not always consistent or maybe my prompts are far from ideal I needed to create a backup function that generates random emojis if the response is not parsed properly Surprisingly I found that functions might more look like an instruction for a person than for a machine in future Here is what I mean regular JS functionfunction getNEmojis n const emojis const res for let i i lt n i res push for let j j lt n j res i push emojis Math floor Math random emojis length return JSON stringify res AI powered JS funcitonfunction getNEmojisAI n const API KEY process env OPENAI API KEY const MODEL ID gpt turbo const configuration new Configuration apiKey API KEY const openai new OpenAIApi configuration const completion await openai createChatCompletion model MODEL ID messages role user content generate exactly n funny and playful emojis for each paragraph of the input following the meaning of them Return it as JSON with an array of non empty strings containing exactly one emoji arrays It shoudln t contain any additional keys in JSON Only array of arrays Length of the array should be equal to n No additional texts or explanations or extra array entities The input input trim return completion data choices message content Both functions return the same output but as you can see the biggest part of the second function is more like a WhatsApp message than a JavaScript function It looks like one day with all the AI improvements our code might transform into a set of AI prompts incapsulated into functions and classes So enjoy coding and learn better prompts If you like the article follow me on social media ️TwitterLinkedIn	2023-06-20 15:07:30
海外TECH	DEV Community	How I built my first AI project for a couple of hours	https://dev.to/kramin_alexey/how-i-built-my-first-ai-project-for-a-couple-of-hours-3j70	How I built my first AI project for a couple of hoursArtificial Intelligence is here probably for ever It becomes more and more widespread and usual like personal computers or smartphones And we won t be able to imagine our lives without it very soon To use it as a developer in your projects becomes incredibly easy too I developed a simple tool using the OpenAI NPM package and I m going to share my approach Let s go IdeaThe main idea is pretty simple I saw that many people on Twitter share their achievements like MRR subscribers numbers or progress like lists with emojis For example ‍ ️be fairybe gorgeousbe uniquebe a whalebe funnyI decided to create a tool that looks for appropriate emoji according to text provided ImplementationLet s start from the backend I m using Node js so first of all I need to install OpenAI npm package Then to use the package you need to obtain your API key from open AI website When you finish all the preparation it s time to get you hands dirty Init OpenAI package const Configuration OpenAIApi require openai Replace YOUR API KEY with your actual OpenAI API keyconst API KEY process env OPENAI API KEY Replace MODEL ID with the ID of the model you want to use we are gonna use the chat completion functions so the following model id works there properly Check in the API documentation if a model you wanna try works with selected API functions const MODEL ID gpt turbo const configuration new Configuration apiKey API KEY const openai new OpenAIApi configuration When we initialised the OpenAI object we can call the API then const completion await openai createChatCompletion model MODEL ID messages role user content generate exactly funny and playful emojis for each paragraph of the input following the meaning of them Return it as JSON with an array of non empty strings containing exactly one emoji arrays It shoudln t contain any additional keys in JSON Only array of arrays Length of the array should be equal to count No additional texts or explanations or extra array entities The input input trim const output completion data choices message content I tried to use Edits API first but the result was not really predictable so I switched to ChatCompletion It s not perfect but responses much more suitable Our output should look like a stringified JSON but sometimes the AI returns not really expected response So we need to be sure that we have a plan B if it could not be parsed properly let outputArray try outputArray JSON parse output replaceAll replaceAll n replaceAll match n g get only array There might be other info generated trim outputArray outputArray map arr gt if arr length return arr return getNRandomEmojis there might be an empty array while outputArray length lt input length outputArray push getNRandomEmojis length of any array might be less then we expeced catch e console error e const paragrapthsLength input length for let i i lt paragrapthsLength i just generate random emojis as a backup outputArray push getNRandomEmojis Now let s summarise everything we did and combine it into one file The full code of the service looks as below async generateResponse input Replace YOUR API KEY with your actual OpenAI API key const API KEY process env OPENAI API KEY Replace MODEL ID with the ID of the model you want to use we are gonna use the chat completion functions so the following model id works there properly Check in the API documentation if a model you wanna try works with selected API functions const MODEL ID gpt turbo const configuration new Configuration apiKey API KEY const openai new OpenAIApi configuration const inputStringified input map inp gt inp val trim join n const completion await openai createChatCompletion model MODEL ID messages role user content getMessageContent inputStringified input length const output completion data choices message content let outputArray try outputArray JSON parse output replaceAll replaceAll n replaceAll match n g get only array There might be other info generated trim outputArray outputArray map arr gt if arr length return arr return getNRandomEmojis while outputArray length lt input length outputArray push getNRandomEmojis catch e console error e const paragrapthsLength input length for let i i lt paragrapthsLength i outputArray push getNRandomEmojis return outputArray function getMessageContent input count return generate exactly funny and playful emojis for each paragraph of the input following the meaning of them Return it as JSON with an array of non empty strings containing exactly one emoji arrays It shoudln t contain any additional keys in JSON Only array of arrays Length of the array should be equal to count No additional texts or explanations or extra array entities The input input trim function getNRandomEmojis n const res for let i i lt n i res push getRandomEmoji return res function getRandomEmoji const emojis return emojis Math floor Math random emojis length Your front end might look as you prefer Example of mine is on the GIFThe tool itself Emoji Me Instead of a conclusion It s was a tiny example of an AI application for some routine automations but it s a step into very promising and intriguing AI world There are so much interesting to discover so do it and enjoy If you like the article follow me on social media ️TwitterLinkedIn	2023-06-20 15:07:20
海外TECH	DEV Community	FLaNK Stack Weekly for 20 June 2023	https://dev.to/tspannhw/flank-stack-weekly-for-20-june-2023-2cc5	FLaNK Stack Weekly for June June FLiPN FLaNK Stack WeeklyTim Spann PaaSDevWe are publishing late due to Father s Day and NiFI updatesApache NiFi is now available for download Release Date June MiNiFi agents can now talk to C servers using reverse proxy load balancers New processor to support modifying the compression algorithm of content which still incurs the CPU hit substantially improves IO by avoiding writing and reading the intermediary decompressed form New processor for Azure Queue Storage using Azure SDK Put Database Record now allows for Upserts Deprecated additional components and features in preparation toward an Apache NiFi Upgraded numerous dependencies due to potential vulnerabilities and latest stable lines Numerous bug fixes to processors but also core NiFi framework behaviorA full list of issues that were resolved can be found at version Components and Features CODE COMMUNITYPlease join my meetup group NJ NYC Philly Virtual This is Issue You may notice a version jump Linked in says we had already so I am assuming two other articles got assimilated I will go with this since is a better number Videos t s amp pp ygUQIlRpbSBzcGFubiIgbmlmaQ D D Articles tspann apache nifi updates eeaff tspann harnessing the power of nifi building a seamless flow to ingest pm fcab ayushtkn apache hive esri geospatial support cadaaae kiranprabhu kafka topic naming conventions best practices bba Recent Talks EventsJune NLIT Summit Milwaukee June NiFi Meetup Milwaukee and Hybrid July Hours to Data Innovation Data FlowOctober Hours to Data Innovation Data FlowCloudera EventsMore Events LLM Generated Code Code NiFi Code ToolsChatGPT Mac Windows App for SQL Recommendation Framework All in One Computer Vision Model as a Service CDC from MySQL Feature Hub for Flink and Spark M Fun game Tim Spann	2023-06-20 15:07:19
Apple	AppleInsider - Frontpage News	The best MacBook Pro or MacBook Air at any price point	https://appleinsider.com/articles/23/06/20/the-best-macbook-pro-or-macbook-air-at-any-price-point?utm_medium=rss	The best MacBook Pro or MacBook Air at any price pointIt can be difficult to choose the best MacBook Pro or MacBook Air given the wide range of prices and features This is what you should consider buying depending on how much you have available to spend inch MacBook AirApple s product range has historically covered a number of different pricing levels with there being some configuration of Mac available for whatever amount you want to pay This includes the more entry level and wallet friendly MacBook Air to the more performance focused and premium MacBook Pro tier Read more	2023-06-20 15:06:21
海外TECH	Engadget	Lawmakers seek 'blue-ribbon commission' to study impacts of AI tools	https://www.engadget.com/lawmakers-seek-blue-ribbon-commission-to-study-impacts-of-ai-tools-152550502.html?src=rss	Lawmakers seek x blue ribbon commission x to study impacts of AI toolsThe wheels of government have finally begun to turn on the issue of generative AI regulation US Representatives Ted Lieu D CA and Ken Buck R CO introduced legislation on Monday that would establish a person commission to study ways to “mitigate the risks and possible harms of AI while “protecting America s position as a global technology power nbsp The bill would require the Executive branch to appoint experts from throughout government academia and industry to conduct the study over the course of two years producing three reports during that period The president would appoint eight members of the committee while Congress in an effort quot to ensure bipartisanship quot would split the remaining positions evenly between the two parties thereby ensuring the entire process devolves into a partisan circus quot Generative AI can be disruptive to society from the arts to medicine to architecture to so many different fields and it could also potentially harm us and that s why I think we need to take a somewhat different approach Lieu told the Washington Post He views the commission as a way to give lawmakers ーthe same folks routinely befuddled by TikTok ーa bit of quot breathing room quot in understanding how the cutting edge technology functions Senator Brian Schatz D HI plans to introduce the bill s upper house counterpart Lieu s team told WaPo though no timeline for that happening was provided Lieu also noted that Congress as a whole would do well to avoid trying to pass major legislation on the subject until the commission has had its time “I just think we need some experts to inform us and just have a little bit of time pass before we put something massive into law Lieu said Of course that would then push the passage any sort of meaningful Congressional regulation on generative AI out to at the very earliest rather than right now when we actually need it Given how rapidly both the technology and the use cases for it have evolved in just the last six months this study will have its work cut out just keeping pace with the changes much less convincing the octogenarians running our nation of the potential dangers AI poses to our democracy This article originally appeared on Engadget at	2023-06-20 15:25:50
海外TECH	CodeProject Latest Articles	BookCars - Car Rental Platform with Mobile App	https://www.codeproject.com/Articles/5346604/BookCars-Car-Rental-Platform-with-Mobile-App	mobile	2023-06-20 15:49:00
海外科学	NYT > Science	Collective Force of Head Hits Increases Odds of CTE, Study Says	https://www.nytimes.com/2023/06/20/sports/football/cte-study-concussions-brain-tackle.html	Collective Force of Head Hits Increases Odds of CTE Study SaysThe largest study of chronic traumatic encephalopathy to date found that the cumulative force of head hits absorbed by players in their careers is the best predictor of future brain disease	2023-06-20 15:37:08
金融	◇◇　保険デイリーニュース　◇◇（損保担当者必携！）	保険デイリーニュース(06/21)	http://www.yanaharu.com/ins/?p=5231	chatgpt	2023-06-20 15:00:42
金融	金融庁ホームページ	「NGFSシナリオ第三版に関する調査」報告書を公表しました。	https://www.fsa.go.jp/common/about/research/20230620/20230620.html	調査	2023-06-20 17:00:00
金融	金融庁ホームページ	経営健全化計画の履行状況報告を公表しました。	https://www.fsa.go.jp/news/r4/ginkou/20230620/20230620.html	計画	2023-06-20 16:00:00
ニュース	BBC News - Home	Hamish Harding, Shahzada Dawood and son Suleman: Who is on board Titanic sub?	https://www.bbc.co.uk/news/uk-65955554?at_medium=RSS&at_campaign=KARANGA	titanic	2023-06-20 15:37:29
ニュース	BBC News - Home	Covid Inquiry: Former chief medical officer close to tears over pandemic deaths	https://www.bbc.co.uk/news/uk-politics-65962091?at_medium=RSS&at_campaign=KARANGA	chief	2023-06-20 15:26:57
ニュース	BBC News - Home	Post Office bosses told to repay mistaken bonuses	https://www.bbc.co.uk/news/business-65963710?at_medium=RSS&at_campaign=KARANGA	bonusesthe	2023-06-20 15:25:14
ニュース	BBC News - Home	Is food inflation higher in Europe than in the UK?	https://www.bbc.co.uk/news/business-65962497?at_medium=RSS&at_campaign=KARANGA	sweden	2023-06-20 15:33:57
ニュース	BBC News - Home	UK festivals: What's going on with drug testing in 2023?	https://www.bbc.co.uk/news/newsbeat-65952012?at_medium=RSS&at_campaign=KARANGA	uk	2023-06-20 15:41:30
ニュース	BBC News - Home	Bottle return scheme firm appoints administrators	https://www.bbc.co.uk/news/uk-scotland-65965368?at_medium=RSS&at_campaign=KARANGA	circularity	2023-06-20 15:20:17
ニュース	BBC News - Home	Declan Rice: West Ham reject second Arsenal bid for England midfielder	https://www.bbc.co.uk/sport/football/65963180?at_medium=RSS&at_campaign=KARANGA	declan	2023-06-20 15:48:30
ニュース	BBC News - Home	Royal Ascot: Paddington gives trainer Aidan O'Brien record 83rd victory	https://www.bbc.co.uk/sport/horse-racing/65963293?at_medium=RSS&at_campaign=KARANGA	Royal Ascot Paddington gives trainer Aidan O x Brien record rd victoryPaddington wins the Prince of Wales s Stakes to give trainer Aidan O Brien a record rd victory at Royal Ascot while Holly Doyle triumphs on Bradsell in the King s Stand Stakes	2023-06-20 15:43:29
ニュース	BBC News - Home	The search for the missing Titanic sub and how it might be rescued	https://www.bbc.co.uk/news/world-us-canada-65965665?at_medium=RSS&at_campaign=KARANGA	search	2023-06-20 15:36:47
ニュース	BBC News - Home	Titanic tourist submersible: Rescuers scan ocean as clock ticks	https://www.bbc.co.uk/news/world-us-canada-65957990?at_medium=RSS&at_campaign=KARANGA	submersible	2023-06-20 15:02:08
ニュース	BBC News - Home	What we know so far	https://www.bbc.co.uk/news/world-us-canada-65934887?at_medium=RSS&at_campaign=KARANGA	titanic	2023-06-20 15:44:43