投稿時間:2023-02-13 22:20:05 RSSフィード2023-02-13 22:00 分まとめ(27件)

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IT	ITmedia 総合記事一覧	[ITmedia News] 「パックマン佐賀県ver.」無料公開へ　ゴーストは呼子のイカに、吉野ヶ里遺跡もパクパク	https://www.itmedia.co.jp/news/articles/2302/13/news164.html	itmedia	2023-02-13 21:49:00
python	Pythonタグが付けられた新着投稿 - Qiita	Docker上のDjangoのWEBアプリにSSSのログイン機能を実装する。(23年2月)	https://qiita.com/ULUNTA2/items/a7f487e0cebb37f3c394	chrome	2023-02-13 21:33:38
js	JavaScriptタグが付けられた新着投稿 - Qiita	JavaScript でテトリスを開発する その 3	https://qiita.com/namakoRice/items/fd4489b04b511021bd7e	javascript	2023-02-13 21:39:52
Ruby	Rubyタグが付けられた新着投稿 - Qiita	Ruby if, else問題	https://qiita.com/ta--i/items/ae3edba1168f936db13f	ifelse	2023-02-13 21:01:40
Linux	Ubuntuタグが付けられた新着投稿 - Qiita	Ubuntu 22.04にMongoDB 6.0とfree5GC WebUIをインストールする	https://qiita.com/s5uishida/items/1757953ff0d0adec50ca	freegcwebui	2023-02-13 21:16:36
Linux	Ubuntuタグが付けられた新着投稿 - Qiita	Ubuntu 22.04にMongoDB 6.0とOpen5GS WebUIをインストールする	https://qiita.com/s5uishida/items/2f3de754d136d105cbd7	opengswebui	2023-02-13 21:16:20
Ruby	Railsタグが付けられた新着投稿 - Qiita	Ruby if, else問題	https://qiita.com/ta--i/items/ae3edba1168f936db13f	ifelse	2023-02-13 21:01:40
海外TECH	DEV Community	Guide on Structured Logs [Best Practices included]	https://dev.to/signoz/guide-on-structured-logs-best-practices-included-4fge	Guide on Structured Logs Best Practices included This article was originally posted on SigNoz Blog and is written by Joseph Chege Structured logging is the method of having a consistent log format for your application logs so that they can be easily searched and analyzed Having structured logs allows for more efficient searching filtering and aggregation of log data It enables users to extract meaningful information from log data easily Logging is an essential aspect of system administration and monitoring Logging allows you to record information data about the application s activity The primary purpose of obtaining logs is to streamline the debugging troubleshooting or auditing practices Logs include system events user actions and error messages They can be stored in various forms such as text files and databases This allows them to analyze and visualize using log management platforms such as SigNoz The structure of these logs falls on a large spectrum A log can be structured semi structured or unstructured In this blog we will learn about structured logging and its benefits What are Structured Logs A structured log is a log record with a well defined structure and format The structured logging practice creates easily human readable textual log data The same data can be easily integrated with other systems to automate log analyzing querying and aggregation Semi structured and unstructured logging usually provide text data that are easy to read by humans but can be challenging for machines to extract It is harder to query such data structures for helpful information Unstructured log data makes it harder to analyze log data Structured logging solves these challenges and creates room for additional analytic techniques Structure logging aims to create machine readable data for advanced functionalities Structured logs ensure each log entry is composed of a set of fields or key value pairs in a well structured and consistent format that can be easily parsed and analyzed This structure allows for more efficient searching filtering and aggregation of log data With the help of logging tools you can automatically extract meaningful information from the logs It becomes more straightforward to transform your data efficiently Due to their format structured logs also allow effortless integration with other systems such as monitoring and alerting tools Consider the following simple example of an unstructured log message info Friday Jan UTC The application has started Error Friday Jan UTC An error occurred while processing this request The above log example contains log information While it is a straightforward log having a huge list of such records that includes complex examples can take time to draw a valid conclusion Imagine having thousands of such logs that you need to analyze for insights It can be hard to diagnose and troubleshoot how an issue occurred as the log message needs descriptive log information Using the same log message you can use structured log formats to describe the message with payload timestamp Friday Jan UTC level info message The application has started Both the unstructured and structured payloads contain the same information However the structured log message has key attributes that can be paired with any corresponding values This means an analysis system can analyze the data using these attributes to perform searches and filter results On top of that you can detect patterns in the data and have a concrete conclusion based on your log messages With key value pairs you can add more meaningful information to your logs Here is an example of log using a structured format with more details on error type timestamp Friday Jan UTC level error message An error occurred while processing this request error code message Internal server error details Error occurred when sending POST data query Why is Structured Logging Needed There are numerous benefits to using structured logs Below are some points for why structured logging is needed With structured logs it is accessible to search filter and aggregate log data Its format is friendly with observability and logging tools like SigNoz This makes it easier to analyze your log data faster and more efficiently to troubleshoot any application issues Structured logs improve automation You can automatically extract any relevant information such as error messages and performance metrics and create aggregates Structured logs are easily integrated with alert systems You can get notified if the software system starts sending logs of a certain type With structured logs it is easier to identify trends and patterns that might be missed with unstructured logs Structured logs open room for broader integration with logs from different sources and with monitoring tools Structured logs reduce costs on tools you can choose to integrate and analyze data The data is consistent This makes storing in long term retention easier with reduced storage cost It is easier to visualize structured logs data with which you can drive insights faster Log analytics tool like SigNoz can help you create charts from structured logs data easily Best Practices for Structured LoggingStructured logging has many benefits Based on this guide you have understood the importance in detail However when using structured logs it s good to follow the best practices to ensure you get the optimal benefits structured logs offer Some of the best practices are Always use a consistent format if you choose JSON for example You should stick to that one format across your application This makes it easier to parse the collected data analyze logs and provide timely feedback Remember to include relevant information in your log entries Fields such as timestamps logging levels and context specific data user information and request details make it easier to understand your application history Use the standard log levels for your log entries This includes info warning error debugging etc Such practices make it possible to have filtering features for your log data Remember to add unique keys in log entries This makes it easy to search and filter log data using tools like SigNoz Create security logging practices to monitor security breaches suspicious activity and other potential threats Before rolling your application to production always test and validate your logs This will help you ensure your application generates logs correctly and in the expected format You can also integrate your logs with traces Having correlated telemetry signals can help you drive contextual insights faster Getting Started with Structured LoggingThe first step to structured logging starts at the application level There are numerous logging libraries that help with structured logging For example winston logger is one of the most popular logging libraries for nodejs It provides consistent formats and logging levels to be used in application logs The next step is to choose a log analytics tool When choosing a log analytics tool three things must be kept in mind ingestion query and storage Based on these parameters and your use case you can choose a log analytics tool that suits you SigNoz is an open source log management tool that you can use for structured logging It uses OpenTelemetry to collect logs and uses a columnar database for storage You can check out the logs performance benchmark of SigNoz to see if it fits your needs It is easy to get started with SigNoz SigNoz can be installed on macOS or Linux computers in just three steps by using a simple install script The install script automatically installs Docker Engine on Linux However on macOS you must manually install Docker Engine before running the install script git clone b main cd signoz deploy install shYou can visit our documentation for instructions on how to install SigNoz using Docker Swarm and Helm Charts Deployment Docs ConclusionLogging is an integral part of all software systems You can understand what s happening and where problems might be Generally if something goes wrong in production you have a reference to trace your logs Structured logs make it easier to search query and analyze logs data at scale A log analysis tool like SigNoz can help you derive insights from logs data quickly while ensuring efficient management and storage You can check out the SigNoz GitHub repo here Related PostsA Lightweight Open Source ELK alternativeOpenTelemetry Logs A Complete Introduction amp Implementation	2023-02-13 12:35:18
海外TECH	DEV Community	Have little or no use for comments	https://dev.to/elijahtrillionz/have-little-or-no-use-for-comments-587p	Have little or no use for commentsThe first time I heard about comments I was told it is meant to document why a code is what how it is As nice as it sounded to me it didn t make so much sense probably because I was just starting my programming journey But it is in fact the reason for comments a comment that explains what a code is or how a code works simply indicates a bad code You wouldn t have to explain what a code does if the code already explains what it does and how it does it Here is an example get signed in userconst getUser gt return name John age What do you think of the comment in the example above Do you think is necessary In my opinion this comment is so unnecessary But here is the thing the developer probably felt he she should add the comment there because if it should be omitted then a reader maintainer developer would find it hard to understand which user the function getUser is getting So because the author developer is trying to be good he she would leave a comment there to make sure whoever maintains it in the nearest future author included would not find it hard to know what the getUser function does So Elijah how is the comment unnecessary Having comments like this all around your project is blatantly bad for maintenance Because here is the thing developers hardly maintain comments Most of us forget it s irrelevant to update a comment after updating its code or we simply forget most times But that s what leads to bad codes Here is an example if the purpose of the getUser function is to change to getting any random user let s say by id then we d most likely now have get signed in userconst getUser id gt return users find user gt user id id Here is the scenario When a reader sees this function being called elsewhere he she would clearly have to come to where the function is declared which could be in a different file just to know exactly what the code does The reader looks for where the getUser function is declared because the function name getUser doesn t really give the full picture of what the function does So he she sees the function and the comment get signed in user and probably goes back with a conclusion of what the code does which is a wrong conclusion or gets confused because there is probably another function that gets the signed in user So the thought of is the code redundant comes to the reader s mind the reader would now have to read the two functions explicitly to know which is which This is bad code especially when they are tons of developers maintaining the project Because if the first reader finally understands what the getUser function does and doesn t change the code to make it clean any other reader would go through the same thing the first reader went through So what should we do with situations like this Get rid of the comment and write a clean code the first example could beconst getSignedInUser gt return name John age and refactoring into the second example could beconst getUserById id gt return users find user gt user id id When a reader sees getSignedInUser elsewhere he she already knows what the function does What comments should be forWhen your comments are to only explain why a code works the way it does you d have little or no use for comments at all Here is a simple example from my library native json db that I refactored Because I had to refactor most of my projects that are still in maintenance after I got a grasp of what my comments should be for and how to make them right verify the newData is an object useful for javascript usersif typeof newData object Array isArray newData return message New data must be an object error INVALID DATA TYPE errorCode In the example above there is a what and a why in the comment The what being verify the newData is an object and the why being for javascript users A reader who sees the condition should already know the code verifies the newData is an object but the question of why comes to mind Because this is a typescript project so why did the author have to validate the newData this way If there isn t a comment that explicitly states a reason the reader may just end up removing the whole condition and then we d have a bug So refactoring the comment should only leave the for javascript users there While refactoring the code in this library I found where I resolved a promise when an error occurred rather than the usual reject that I ve been using throughout the code But then I didn t write why I decided to resolve rather than reject And now I don t remember what made me resolve rather than reject I know it was intentional But had it been I commented the reason I wouldn t have had to struggle with my decision there for a minute So for decisions you make that you know would lead to a question of why did I do this like this or why did he she do this instead of this you should do well to state your reason precisely to save everyone s time Necessary commentsThere are some cases where comments other than whys comments can prove useful like in tutorials i e places that require further explanation and wouldn t require maintenance per se Nonetheless when you create a project that you re sure nobody is coming back to it is also a good practice to write clean code as much as possible Personally when I work on such projects for learning purposes I still wanna make sure it is clean and I don t have unnecessary comments Because I don t want to get used to writing bad code with unnecessary comments So I d recommend using every other type of comment explicitly for teaching purposes for beginners Other common necessary usages of comments are in license and todos which you shouldn t forget to get rid of when done Some common bad commentsApart from it being generally frustrating some comments have specific frustrating features There are several of them but the common ones are misleading comments redundant comments and commented codes After refactoring a ton of my projects these are some of my errors and observations Misleading commentsAll bad comments can be misleading but some are definitely misleading for example updateMany optionsinterface UpdateManyOptions updateAll boolean updateMany optionsinterface DeleteManyOptions deleteAll boolean In this example I the developer simply copied the UpdateManyOptions block of code including the comment for the DeleteManyOptions just for me to forget to update the comment And as such the comment is quite misleading Besides both comments are redundant Another misleading comment I had was this find object with the key value findOne filter Object Promise lt Object null gt In the findOne function there is no key value being passed as a parameter nor is there a variable called key So that can get confusing for some readers You could say alright to not make it misleading let s refactor the comment to find object with filter provided but then would the comment really be necessary No it wouldn t So Elijah please get rid of that Redundant commentsLike in the example in the previous section the name of the interface UpdateManyOptions already explains what the interface is for So what s the essence of the comment I have a couple of redundant comments like this get the whole data in d document get allData Promise lt Object gt return new Promise async resolve gt resolve this dataArr The thing about redundant comments is that you d have to learn about what the code does twice Because you d see the comment first and be like get the whole data in d document and end up seeing the function saying the same thing Why the stress Just get rid of the comment if the code already explains itself Commented codesThis is quite common But gone are the days where you d need a code you didn t need before and start crying about it because you deleted it rather than simply commenting it out With tools like git you can keep track of every code change you made in your project So if you don t need a code now delete it When you need it go to the git history of the project and get it But the problem with this is when you don t commit every change you make to your code So you should endeavor to commit every change made to your code I m starting to do this too It s been really helpful for me Another common bad comment How to get rid of bad commentsTry not to get me wrong here the only reason you should get rid of the whats or hows comment in your code is that your code should already explain what it does and how it does it For example expires in daysconst e The comment there shouldn t be there But believe it or not it s quite helpful there Because if you remove it a reader would have no idea what the variable e is for So it s one thing to get rid of all the unnecessary comments in your code it s another thing to refactor your code to not need those comments in the first place const expiresIn So as a good practice when you re refactoring first refactor your code to not need the comment before getting rid of the comment Now refactoring your code to not need a comment can be challenging at first but with time you d get used to having tons of ideas for refactoring But there are some good practices you can use to start out for example get all users and sort them by their names alphabeticallyconst getUsers async username password gt const res await fetch http localhost users const users await res json users sort a b gt if a name gt b name return else if a name lt b name return return So if we want to refactor this to not use the comment we may end up with a function name as getUsersAndSortThem or sth similar This is your function doing two things which isn t the best thing for a function Because when it comes to writing clean codes as much as possible your function should only perform one task So you should break the function into two where you d have a getUsers and sortUsers function separately Here is another example of breaking things up to be more readableconst sortUsers gt in comparison if name of first param is greater than name of second param return if opposite return else return users sort a b gt a name gt b name b name gt a name This developer knows that reading the users sort line would take time to fully understand what s going on there because it s not really readable so he she decided to help with an overwhelming comment A simpler fix would ve been to break the ternary operators to if statements to become more readable In most cases it is often best to not use more than one ternary operator because it d be hardly readable All these are what make refactoring codes interesting But if you don t know how to write clean readable code removing comments that usually solve your problem of writing bad code by explaining what s going on becomes an even bigger problem So read books or articles on how to write clean codes and learn from superiors I recommend reading the book Clean code by Robert Ceil Martin ConclusionComments are an important part of your code they indicate if you ve not done so well in your code as well as indicate if you ve done well If you ve done well trust me you d hardly have use for comments and if you haven t you would have comments on almost every part of your code trying to make up for the bad code you ve written But picking up this new habit of writing clean code doesn t happen overnight Get into your past projects and refactor as many as possible Check out some open source projects and do what you can there And soon enough you d get the hang of it I m still getting the hang of it myself Alright that s it for this Thanks for reading Please if you enjoyed this article hit the like button and leave a comment for me You can also follow up with more articles like this by following me here and on Twitter elijahtrillionz And yeah you can buy me a coffee to support my writing as well A dollar can go a long way in cheering me up I appreciate	2023-02-13 12:30:50
海外TECH	DEV Community	Top 10+ OpenAI Alternatives	https://dev.to/flatlogic/top-10-openai-alternatives-4ie5	Top OpenAI AlternativesAre you looking for the best OpenAI alternatives If you re wondering what the best options are how they compare to OpenAI and what criteria to consider when choosing the right one this article is for you When researching OpenAI alternatives you may be asking yourself questions such as What is the best alternative to OpenAI What are the differences between OpenAI and its alternatives How do I choose the best OpenAI alternative for my needs The growth of AI and machine learning technologies has made it increasingly difficult for organizations to keep up with the latest advancements Despite being a strong tool OpenAI might not be the ideal choice for everyone You can choose which one is best for you by exploring the many OpenAI choices By reading this article you ll learn about the top OpenAI alternatives their features and capabilities and what criteria to consider when selecting the right one for your needs You ll also learn which one stands out as the best alternative for OpenAI What is OpenAI OpenAI is an AI artificial intelligence research lab founded in December by Elon Musk Sam Altman Ilya Sutskever Greg Brockman Wojciech Zaremba and John Schulman By researching and developing innovative technologies that can be used to benefit humanity OpenAI aims to improve artificial intelligence Intending to make AI accessible to everyone OpenAI provides open source tools and resources to help programmers and researchers develop AI powered products What makes OpenAI different from other organizations Compared to other AI organizations OpenAI is different in several ways First of all OpenAI is open source meaning everyone has access to their research results and tools To develop their AI driven products and bring them to market companies and individuals can use OpenAI s technology OpenAI also has an outstanding team of researchers engineers and scientists who continue to push the boundaries of artificial intelligence research Furthermore OpenAI is dedicated to creating AI responsibly and ethically guaranteeing that AI is safe and secure The purpose of OpenAI in democratizing AI is to deliver the power of AI to everyone OpenAI is a groundbreaking AI research laboratory that has revolutionized the way we think about AI It has enabled researchers to use its algorithms to develop groundbreaking AI applications But many other AI research laboratories are making a name for themselves in the AI space Let s discuss the top OpenAI alternatives that you should consider for your AI projects DeepMindDeepMind is a UK based AI research center that has achieved significant advances in the field of AI since its foundation in The goal of DeepMind is to apply AI to address the most critical issues facing the planet Also to apply artificial intelligence to tackle some of the world s most difficult challenges such as climate change and healthcare Machine learning and other related approaches such as reinforcement learning and unsupervised learning are the main topics of DeepMind s research UsageDeepMind Technologies is used to develop artificial intelligence AI systems for various tasks such as natural language processing image recognition game playing and robotics It is also used to develop machine learning algorithms for data analysis pattern recognition and decision making DeepMind Technologies is used in various industries such as healthcare finance and defense DeepMind Technologies is utilized in healthcare for medical image analysis clinical decision support and healthcare system optimization In finance it is used for fraud detection financial forecasting and investment analysis In defense it is used to improve military operations surveillance and targeting Pros amp Cons of DeepMind Pros of DeepMind DeepMind places great emphasis on research making it a pioneer in the development of general purpose AI systems DeepMind s AI solutions are closely interwoven with Google s goods and services There is close collaboration between DeepMind and partners in business and academia DeepMind s advancements in reinforcement learning techniques have improved the area of AI A universal AI platform that is available to everyone Cons of DeepMind DeepMind s algorithms are not open source thus they can only be used with Google goods and services DeepMind s AI solutions are still in the early phases of development thus they may be less effective or efficient than more established AI solutions DeepMind s AI solutions may be too sophisticated for certain people to comprehend and use IBM WatsonIBM Watson is an AI platform developed by IBM that enables the development of cognitive applications It uses natural language processing and machine learning to understand complex unstructured data and is based on data driven algorithms Its main purpose is to provide users with an intuitive and automated way to gain insights from their data IBM Watson can be used in a variety of fields including healthcare finance and retail Watson provides natural language processing image recognition speech recognition and other cognitive services that can help businesses make better decisions and improve the customer experience UsageHealthcare banking retail and education are just a few of the industries where IBM Watson could be used In medicine Watson can be used to diagnose diseases determine the best course of action and even detect cancer tumors in their early stages In finance it can examine financial data identify trends and detect fraud In retail it may be applied to consumer behavior analysis product recommendations and individualized customer experiences In the field of education it may be used to track down students who are in danger of failing classes design individualized lessons and provide instructors with individualized feedback Pros amp Cons of IBM Watson Pros of IBM Watson Highly accurate and efficient allowing organizations to gain insights from their data quickly and accurately Can be used to analyze complex unstructured data such as images videos and natural language Can be used in a variety of fields such as healthcare finance retail and education Can help organizations make better decisions improve customer experiences and increase efficiency Cons of IBM Watson Expensive and requires a lot of computing power Can be difficult to set up and maintain Can be difficult to integrate into existing systems May not always be able to provide accurate results as it relies on machine learning algorithms Microsoft AzureThe Microsoft Azure cloud computing platform was created by Microsoft and it includes a variety of cloud services like processing storage networking analytics and the creation of mobile and web apps The Microsoft Azure cloud computing platform is designed to help businesses quickly install and manage cloud apps and services Microsoft Azure provides a user friendly platform for programmers and businesses to develop manage and deploy cloud based apps and services It also provides a variety of services such as big data analytics the Internet of Things IoT artificial intelligence AI and machine learning allowing businesses to optimize their operations and get insights from their data Microsoft Azure can be used for a variety of AI related tasks Image recognition and classification Natural language processing Speech recognition Text analytics Machine learning Predictive analytics Robotics Autonomous systems Pros amp Cons of Microsoft Azure Pros of Microsoft Azure Highly scalable and can be used for a variety of tasks Provides a wide range of services and tools for developers Easy to use and can be integrated with existing systems Cost effective and provides a secure environment Cons of Microsoft Azure Complex and can be difficult to set up and manage Requires a lot of expertise to use effectively Not always provide the best performance for some tasks Google Cloud AIGoogle Cloud AI is a collection of AI services and tools for developing AI applications It provides pre trained models and services for developing intelligent apps that can respond to user input forecast outcomes and recognize speech Google Cloud AI is designed to make it simpler for programmers to construct AI apps that can solve challenging issues and enhance user experiences UsageBuilding apps that comprehend natural language recognize pictures process audio and video and identify things in photographs is the goal of Google Cloud AI Applications that promote goods advise activities and automate customer service chores can all be created using it Insights and analytics may be produced as a way to streamline business processes and make informed decisions Pros amp Cons of Google Cloud AI Pros of Google Cloud AI Provides a wide range of services and tools that can be used to create powerful AI applications The services are highly scalable and can be used to create applications that can handle large volumes of data Cost effective and can be used to create applications that can handle large volumes of data without incurring high costs Cons of Google Cloud AI Google Cloud AI can be complex and difficult to use for developers who are new to the platform Limited support for developers who are new to the platform Amazon Machine LearningAmazon Machine Learning is a cloud based AI service and product package that allows developers to create predictive applications It gives you the tools and techniques you need to create apps that can analyze data spot patterns and make predictions Amazon Machine Learning is made to help developers create software that anticipates consumer behavior recommends products or services looks for fraud or other abnormalities and recognizes trends Software that automates customer service chores uncovers abnormalities in medical data or draws insights from huge datasets may all be made using this technique Pros and cons of Amazon Machine Learning Pros of Amazon Machine Learning Provides an intuitive interface that makes it easy for developers to create predictive applications Scalability can be used to create applications that can handle large volumes of data without incurring high costs Cost effective and can be used to create powerful applications without incurring high costs Cons of Amazon Machine Learning Limited support for developers who are new to the platform Limited flexibility and customization options for developers NVIDIA DGXNVIDIA DGX is a high performance computing system designed to meet the needs of data intensive workloads like deep learning It is made to speed up AI and machine learning workflows enabling users to create deep learning models quickly Along with completely integrated and deep learning optimized software it consists of a group of potent GPU servers powered by NVIDIA The most effective deep learning and AI development platforms are provided by NVIDIA DGX which enables customers to rapidly and effectively develop deploy and manage their applications UsageNVIDIA DGX is primarily designed to speed up AI and machine learning processes Rapid deep learning model development application deployment and management and high performance computer operations are all possible with it Data scientists may experiment with their deep learning models more quickly and effectively by using NVIDIA DGX to build virtualized computing environments Pros amp Cons of NVIDIA DGX Pros of NVIDIA DGX High performance in deep learning and AI development Fully integrated and optimized software for deep learning Easy to use and deploy Virtualized computing environment for data scientists Cons of NVIDIA DGX Expensive May not be suitable for all types of data intensive workloads Intel AIIntel AI is a suite of hardware and software solutions for artificial intelligence AI designed to deliver performance and flexibility for AI workloads Intel AI solutions provide the computing power to run deep learning and other AI models as well as advanced analytics and real time insights Intel AI solutions are designed to be used in a wide variety of applications such as autonomous driving healthcare and robotics Intel AI solutions are optimized for Intel based platforms and are fully integrated with Intel architecture The main purpose of Intel AI is to provide the computing power and flexibility needed to run AI models analytics and real time insights UsageIntel AI can be used in a variety of applications including autonomous driving healthcare robotics and more Intel AI solutions can be used to train deep learning models run analytics and generate real time insights Intel AI solutions can also be used to develop and deploy AI applications on Intel based platforms Pros amp Cons of Intel AI Pros of Intel AI Optimized for Intel based platforms Fully integrated with Intel architecture High performance in deep learning and AI Flexibility to run a variety of AI applications Cons of Intel AI Not as widely available as other AI solutions Potentially more expensive than other AI solutions Apple Core MLApple Core ML is a machine learning platform developed by Apple to enable developers to quickly and easily integrate machine learning models into their iOS macOS watchOS and tvOS apps Core ML allows developers to take advantage of the power of machine learning without having to write complex algorithms or deep learning models Core ML leverages the power of Apple s hardware and software to enable developers to quickly create and deploy machine learning models for their apps The main purpose of Apple Core ML is to make it easy for developers to integrate machine learning into their apps UsageApple Core ML can be used to quickly create and deploy machine learning models for iOS macOS watchOS and tvOS apps Core ML models can be used for a variety of tasks including image recognition natural language processing and more Core ML also allows developers to take advantage of the power of Apple s hardware and software to optimize their models for performance and accuracy Pros amp Cons of Apple Core ML Pros of Apple Core ML Quick and easy to integrate machine learning into apps Leverages the power of Apple s hardware and software Optimizes models for performance and accuracy Variety of tasks supported including image recognition and natural language processing Cons of Apple Core ML Limited to Apple specific platforms May not be suitable for all types of machine learning tasks Dependent on Apple for updates and bug fixes HO aiHO ai is an open source platform for machine learning and artificial intelligence It provides a range of tools and technologies for data scientists to quickly and easily develop deploy and manage machine learning models HO ai is designed to work with a wide variety of data sources including relational databases text files spreadsheets and more The main purpose of HO ai is to enable data scientists to quickly and easily develop deploy and manage machine learning models UsageHO ai can be used to develop and deploy machine learning models for a wide variety of applications HO ai provides a range of tools and technologies for data scientists to quickly and easily develop deploy and manage their models HO ai can also be used to create virtualized computing environments for data scientists allowing them to experiment more quickly and efficiently with their models Pros amp Cons of HO ai Pros of HO ai Open source platform Easy to use and deploy Works with a wide variety of data sources Ability to create virtualized computing environments Cons of HO ai May not be suitable for all types of machine learning tasks Limited support for certain data sources Limited scalability for larger datasets OpenCVOpenCV is an open source computer vision library for real time image and video processing It provides a wide range of algorithms and functions for image and video analysis including feature detection object detection and tracking OpenCV is designed to be user friendly and efficient allowing developers to quickly and easily create complex applications for vision based systems The main purpose of OpenCV is to provide developers with a powerful and easy to use library for real time image and video processing UsageOpenCV can be used to create a wide range of applications for vision based systems It can be used for feature detection object detection and tracking as well as a variety of other image and video processing tasks OpenCV can also be used to create virtualized computing environments for developers allowing them to experiment quickly and efficiently with their applications Pros and cons of OpenCV Pros of OpenCV User friendly and efficient Open source library Wide range of algorithms and functions Ability to create virtualized computing environments Cons of OpenCV Limited support for a certain image and video formats May not be suitable for all types of vision based systems Can be difficult to debug and optimize code Summing UpThese are some of the top OpenAI alternatives that you should consider for your AI projects Each of these AI research facilities has advantages and disadvantages so you should examine your alternatives before picking which one to utilize We hope that this article has helped you understand the many alternatives available as well as the benefits and drawbacks of each	2023-02-13 12:25:26
海外TECH	DEV Community	Miço üzerinde plugin nasıl yüklenir?	https://dev.to/aciklab/mico-uzerinde-plugin-nasil-yuklenir-2e0g	Miço üzerinde plugin nasıl yüklenir Liman MYS arayüzüaçılır Sol menüden sunucunun alt başlıklarında bulunan Miço eklentisinin içine girilir DAĞITIM sekmesine girilir Eklenti Kurulumu başlığında ise dosya eklenir ve mavi Yükle butonuna tıklanır Daha sonra GÖREVLER sekmesine gelinir ve Görev oluştur butonuna tıklanarak görev ekleneceği zaman Eklenti başlığında yeni eklenen plugin seçimi aktif hale gelir ÖR Eklenti Kurulumu kısmına devmanager zip dosyasıyüklenir Ardından Eklenti başarıyla yüklendi mesajıekrana gelir GÖREVLER sekmesine girilir ve Görev oluştur butonuna tıklanır Daha sonra eklenti seçimi yaparken devmanager isimli plugin in listeye eklendiği görülür ve yeni plugin ile görevler oluşturulur	2023-02-13 12:12:49
海外TECH	DEV Community	The Benefits of Using Task Management Tools	https://dev.to/blst-security/the-benefits-of-using-task-management-tools-4pce	The Benefits of Using Task Management ToolsHi everyone While I usually cover topics about frontend development we recently moved from using Trello to Jira internally in my company and I further understood the benefits of a good task task management system So in this article we will explore the different task management tools available such as Trello Asana and Todoist and how they can help individuals and teams manage tasks more effectively Without further ado let s get straight into the article Task management is an essential part of modern day life whether it be for personal or professional purposes Keeping track of tasks and staying organized can be challenging especially as the demands of life continue to increase This is where task management tools come in offering a range of benefits that make task management easier more efficient and more effective One of the main benefits of using task management tools is increased productivity With a task management tool you have all your tasks and to dos in one place making it easy to keep track of what needs to be done and when This eliminates the need to search through multiple lists or email threads to find the information you need saving you time and reducing the risk of missing important tasks Another benefit of task management tools is improved organization With a tool like Jira Trello Asana or Todoist you can categorize your tasks into different projects labels or boards making it easier to see the big picture and prioritize your work You can also set reminders deadlines and add notes to tasks ensuring that you have all the information you need to complete a task effectively Task management tools also make it easier to collaborate with others With features like shared boards comments and real time updates it s simple to keep everyone on the same page and ensure that tasks are completed on time This is especially useful for teams working on a project as it helps to avoid confusion misunderstandings and missed deadlines Finally task management tools can help you stay on top of your workload and reduce stress By having a clear overview of all your tasks and deadlines you can plan your work more effectively prioritize your time and avoid feeling overwhelmed by a long to do list With a task management tool you can focus on the tasks that are most important knowing that you have a system in place to help you stay on track In conclusion task management tools offer a range of benefits that make task management easier more efficient and more effective Whether you re working alone or with a team a task management tool can help you stay on top of your workload reduce stress and achieve your goals So if you re looking to improve your task management skills consider using a task management tool today Check out our website at BLSTJoin the discussion in our Discord channelTest your API for free now at BLST	2023-02-13 12:07:34
Apple	AppleInsider - Frontpage News	iPhone 14 Pro Max doesn't cost Apple much more than iPhone 13 Pro Max	https://appleinsider.com/articles/23/02/13/iphone-14-pro-max-doesnt-cost-apple-much-more-than-iphone-13-pro-max?utm_medium=rss	iPhone Pro Max doesn x t cost Apple much more than iPhone Pro MaxApple s component cost to produce the iPhone Pro Max is a mere more than what it paid to make each iPhone Pro Max in analysts claim The iPhone Pro Max and iPhone Pro MaxThe blended build of materials refers to the cost of production for a product covering all components used to assemble the final product In analysis of the iPhones it seems that the cost to Apple to make the iPhone Pro Max is only a little higher than for its year ago counterpart Read more	2023-02-13 12:28:13
Apple	AppleInsider - Frontpage News	Nomad Modern Leather Case review: Elegant protection for AirPods Pro 2	https://appleinsider.com/articles/23/02/13/nomad-modern-leather-case-review-elegant-protection-for-airpods-pro-2?utm_medium=rss	Nomad Modern Leather Case review Elegant protection for AirPods Pro Nomad has updated its popular leather AirPods case to fit the second generation of Apple s pro earbuds but one crucial feature is missing Nomad Modern Leather CaseThe original case for AirPods Pro was launched by Nomad back in and Apple has since introduced a new iteration with changes that case manufacturers had to adapt Read more	2023-02-13 12:04:54
海外TECH	Engadget	The Morning After: A Japanese restaurant combats 'sushi terrorism' with AI cameras	https://www.engadget.com/the-morning-after-a-japanese-restaurant-combats-sushi-terrorism-with-ai-cameras-121542434.html?src=rss	The Morning After A Japanese restaurant combats x sushi terrorism x with AI camerasMany people in Japan have been outraged by a recent trend dubbed quot sushi terrorism quot Videos across social media show people carrying out all kinds of unhygienic acts like licking the spoon for a container of green tea powder Another video which has more than million views on Twitter showed a person licking the top of a soy sauce bottle and a teacup s rim before putting them back at a branch of the Sushiro chain The company said it has replaced all the soy sauce bottles and cleaned every cup at the affected restaurant To combat this gross trend one chain Kura Sushi said it would use artificial intelligence to look for quot suspicious opening and closing of sushi plate covers quot Nikkei Asia reported The company plans to upgrade existing cameras used to track the dishes customers take from conveyor belts to determine their bill by early March If the system detects suspicious behavior it will alert employees Mat SmithThe Morning After isn t just a newsletter it s also a daily podcast Get our daily audio briefings Monday through Friday by subscribing right here The biggest stories you might have missedHitting the Books NASA s Class broke color barriers and glass ceilings alikeDon t watch Star Trek Picard season three it ll only encourage themFormer Formula E team lead announces new electric car racing seriesComcast is ending free Peacock access for Xfinity subscribersThe second gen HomePod may be easier to repair than the firstMuch less glue The original HomePod was notoriously difficult to repair cutting tools were sometimes necessary The second gen model however isn t as bad iFixit has torn down the new smart speaker and discovered the large amounts of glue are gone you can get inside using little more than a screwdriver and the internal components are similarly accessible Combine this with the detachable power cord and it should be feasible to fix some parts yourself However Apple hasn t yet added its newest HomePod to its Self Service Repair program but at least it would now be a more realistic addition Continue reading Hogwarts Legacy review A massive game alive with magicThe world is beautiful and bursting with secrets Hogwarts LegacyHogwarts Legacy arrives with all the controversy of a Harry Potter project and a lot of anticipation For many this is finally a game that does justice to the magic and spectacle of the pop culture phenomenon with an open world design side quests customizable characters and more There s a solid game here with an entertaining combat system and plenty of mysteries to solve Continue reading Sony AR V camera reviewAwesome images improved video unbeatable autofocus Sony s full frame AR IV was one of the best mirrorless cameras Engadget s Steve Dent ever reviewed so there was a lot of pressure on its successor Fortunately this fifth generation model is improved in pretty much every way It s a technological tour de force featuring most of the company s industry leading tech It has the best articulating screen on the market the best autofocus system and much improved video at up to K internally The only real drawback is the rolling shutter effect that can mar video or photos taken in electronic shutter mode Continue reading Engadget Podcast Microsoft and Google s budding AI rivalryA busy week of news from OnePlus Nintendo Samsung and more It was a busy week Microsoft and Google both unveiled their AI products for the masses with Microsoft holding an entire event this week to show off the new Edge and Bing Google also had an event in Paris and unveiled the first Android developer preview while OnePlus launched its first ever tablet alongside a new flagship phone Cherlynn is joined this week by guest co host Sam Rutherford to tear into the week s onslaught of news and see how we feel about Samsung s Galaxy S Ultra while reviewing it Continue reading	2023-02-13 12:15:42
海外科学	NYT > Science	Webb Telescope Spots a Distant Spiral Galaxy Like Our Own	https://www.nytimes.com/2023/02/13/science/astronomy-webb-leda2046648.html	light	2023-02-13 12:17:34
医療系	医療介護 CBnews	医療情報利用、同意によらないガバナンス整備が論点-規制改革WG	https://www.cbnews.jp/news/entry/20230213213130	患者の権利	2023-02-13 21:42:00
医療系	医療介護 CBnews	日医、NP制度化求める日看協に反論-タスク・シェア推進策のヒアリングで	https://www.cbnews.jp/news/entry/20230213205752	日本医師会	2023-02-13 21:40:00
ニュース	@日本経済新聞 電子版	鹿児島の堆肥⇔宮城の稲わら　肥飼料高騰で広域連携に道 https://t.co/mnfHpDLQW5 https://t.co/vDjuQoy18l	https://twitter.com/nikkei/statuses/1625117660454305794	鹿児島	2023-02-13 13:00:18
ニュース	@日本経済新聞 電子版	ユーロ圏成長率、23年0.9%に上方修正　物価高なお重荷 https://t.co/wYbNB8NBf0	https://twitter.com/nikkei/statuses/1625116803096788994	上方修正	2023-02-13 12:56:53
ニュース	@日本経済新聞 電子版	トルコ・シリア地震、死者3.5万人　建設業者らに逮捕状 https://t.co/42BHstA9VT	https://twitter.com/nikkei/statuses/1625112515972833280	建設業者	2023-02-13 12:39:51
ニュース	@日本経済新聞 電子版	親の顔色をうかがう子は伸び悩む？　意見言う練習を 【2022年9月 読まれた記事】 https://t.co/s3ycKDj9dm https://t.co/tCg6Wo11c1	https://twitter.com/nikkei/statuses/1625110086292066304	顔色	2023-02-13 12:30:12
ニュース	@日本経済新聞 電子版	所得税「N分N乗」、中低所得層は負担増も　財務省試算 https://t.co/Sf3XW1p5iB	https://twitter.com/nikkei/statuses/1625109725842137095	低所得層	2023-02-13 12:28:46
ニュース	@日本経済新聞 電子版	パキスタン、外貨枯渇で危機深まる　電力不足や食品高 https://t.co/jGhyxQvr0x	https://twitter.com/nikkei/statuses/1625106491522048003	食品	2023-02-13 12:15:55
ニュース	BBC News - Home	Brianna's death has left massive hole, says family	https://www.bbc.co.uk/news/uk-england-64625162?at_medium=RSS&at_campaign=KARANGA	brianna	2023-02-13 12:29:26
ニュース	BBC News - Home	Wegovy weight loss jab to be sold by UK chemist shops	https://www.bbc.co.uk/news/health-64623284?at_medium=RSS&at_campaign=KARANGA	wegovy	2023-02-13 12:14:29
ニュース	BBC News - Home	Labour accuse Tories of spending sprees on hotels, dining and gifts	https://www.bbc.co.uk/news/uk-politics-64615936?at_medium=RSS&at_campaign=KARANGA	political	2023-02-13 12:44:33