Showing posts with label Trending News and technology. Show all posts
Showing posts with label Trending News and technology. Show all posts

Introducing Copilot+ PCs: The Future of AI Integration in Windows 11

Microsoft has recently introduced Copilot+ PCs, a new line of AI-powered Windows 11 computers.

Copilot+ PCs are a brand new category of Windows PCs unveiled by Microsoft on May 20, 2024. They're designed to be the fastest, most intelligent, and longest-lasting Windows machines ever built, boasting some impressive features.

Key features of Copilot+ PCs

  • Dedicated Copilot Key: A new keyboard key specifically for invoking the Windows Copilot feature, making it easier to access AI assistance seamlessly during various tasks​
  • Advanced AI Integration: These PCs come with powerful AI capabilities, including features like Recall, which helps users find and remember information seen on their device, and Cocreator, an AI tool for real-time image generation and editing. Copilot+.PCs come with built-in AI features that can significantly enhance your productivity and workflow. These features are powered by the most advanced AI models available.
  • High Performance: Powered by the new Snapdragon X series processors, Copilot+ PCs offer superior performance with 40+ TOPS (trillion operations per second) and all-day battery life. This means you can tackle demanding tasks and experience smooth multitasking.
  • Broad OEM Support: Major manufacturers like Acer, ASUS, Dell, HP, Lenovo, and Samsung are on board, offering various models under the Copilot+ branding. These devices are designed to be thin, lightweight, and aesthetically appealing.
  • Multilingual Support: The Copilot+ PCs include live captioning capabilities, allowing real-time translation of over 40 languages into English and breaking down language barriers in communication.
  • All-Day Battery Life: While specific numbers vary by task, Copilot+ PCs boast extended battery life, lasting up to 22 hours for local video playback – that's 20% more than the latest Macbook Air.

These are just some of the highlights of Copilot+ PCs. With their focus on AI and performance, they seem poised to be a significant leap forward in personal computing.

These PCs are available for pre-order and will start shipping soon, with prices beginning at $999 approx. This initiative marks a significant step in integrating AI deeply into everyday computing experience, aiming to transform how users interact with their PCs.


Top 7 Programming Languages For Machine Learning And AI

Top 7 Programming Languages For Machine Learning And AI

 These days, AI and machine learning are advancing rapidly, and many companies are working with it. Developers with knowledge of AI and machine learning have bright futures.

Most of the world's reports say the world's future is based on AI and machine learning.

In this article, we will see a couple of programming languages that will help us in AI and machine learning.

First, let's understand what machine learning is.

What is Machine Learning?

Machine learning is the fastest-growing technology that gives abilities to computers to learn or forecast data automatically from past data. In other words, Machine learning is a subset of AI that provides computers with the ability to automatically learn and make predictions based on data.

Machine learning uses many algorithms to predict data without human intervention.

Currently, machine learning is used in many scenarios like face recognition, voice recognition, filtering data, self-driving cars, cyber fraud detection, and many more.

7 Best Languages for Machine Learning

1. Python programming language

Python is the best programming language and it is a very well-known programming language for machine learning and AI. It is an Oops-based programming language. It is the first language that supports machine learning with different libraries & tools.

Python Features and Advantages

  • Easy to Code
  • Easy to Read
  • Robust Standard Library
  • Interpreted
  • Portable
  • Object-Oriented and Procedure-Oriented
  • Support for GUI
  • Dynamically Typed
  • High-level Language
  • Free and Open-Source

2. C# programming language

C# is a general-purpose programming language, C# can be used to create a number of different programs and applications like mobile applications, desktop applications, cloud-based services, websites, enterprise software, and games, Even if it helps us in machine learning and AI.

C# can be used for machine learning applications via a .NET Core machine learning platform, ML.NET. ML.NET is a cross-platform open-source machine learning framework that makes machine learning accessible to .NET developers.

 important features of C#

  • Simple & Modern, Flexible
  • Easy to code
  • Automatic Garbage Collection by CLR
  • Standard Library
  • Assembly Versioning
  • Based on Object-oriented programming
  • Open-source programming

3. R Programming Language

R was created by Ross Ihaka and Robert Gentleman in 1993 and is currently developed by the R Development Core Team.

R is a programming language mainly used for statistical analysis, Data Scientists, graphics representation, and reporting.

R is an array-based Language. 

R supports Linux, OSX & Windows OS systems.

Features of the R Language

  • Object-Oriented Language
  • Easy program code
  • R provides a large, coherent, and integrated collection of tools for data analysis
  • R has an effective data handling and storage facility,
  • Support ML development libraries & tools.
  • Support functional & procedural language.

4. Julia

Julia is a high-level, high-performance, dynamic programming language. It is used to write all kinds of applications. It works best for high-performance numerical analysis and computational science.

It is mainly created for statistical analytics which is necessary for machine learning.

Julia, the best choice for numerical computing and it takes less time for big and complex codes.

Features of Julia

  • Easy to use
  • It is very fast to execute large and complex codes
  • Julia provides an extensive library of mathematical functions with great numerical accuracy.
  • It has efficient support for Unicode
  • Free and open source (MIT licensed).
  • It has a built-in package manager (Pkg).

5. C++ programming language

 C++ is a very old programming language, whereas C++ is an oops programming language.

C++ is very fast to calculate complex logic and it is used in machine learning.

Many machine learning platforms support c++ including TensorFlow. TensorFlow’s C++ API provides for constructing & executing a data flow language.

C++ Features

  • Fast Speed.
  • Pointers.
  • Machine Independent or Portable.
  • Structured programming language.
  • Rich Library.
  • Mid-level programming language.
  • Memory Management.

6. Java Programming language

Java is the best programming language. Java is created by James Gosling at Sun microsystem. It is obtained by Oracle. It is a multipurpose programming language that is used in machine learning applications.

It is an oops-based programming language that supports executing complex code in very less time.

Java has strong frameworks like Weka, Rapid Miner, etc. that support machine learning algorithms, decision trees, regression techniques, etc.

7. Lisp

 Lisp is an old programming language that is popular now for AI and machine learning. Founded in 1958 by John McCarthy, LISP (List Processing) is the second oldest programming language.

LISP is a dynamically typed programming language that has influenced the creation of many machine learning programmings languages like Python, Julia, and Java.

LISP works on Read-Eval-Print-Loop (REPL) and has the capability to code, compile, and run code in 30+ programming languages.

Features of Lisp

  • Flexibility
  • Dynamic object creation
  • Automatic garbage collection
  • Rapid prototyping capabilities
  • Support for symbolic expressions


Machine learning and AI is very popular now, and is used in many companies. Many programming languages support machine learning frameworks & libraries.

In modern times Python is mostly used for machine learning and AI development, so knowledge of AI and machine learning has a bright future and many career opportunities for developers. 



Angular v13 is now Available | Whats New in Angular 13

 Angular v13 is now Available | Whats New in Angular 13


What’s new in Angular v13!

So after 6 months of major release of angular 12 , here we are with new version of angular 13 , which has some exiting feature , Let’s take a look at some of the features and changes released in this new version. 

In short if we understand the new feature ,so here we are 

1.     View Engine is no longer available in Angular as of v13.

2.   Angular can continue to create Ivy-based feature  that bolster your productivity with the platform.

3.    The Angular Package Format (APF) has been streamlined and modernized to better serve developers.

4.   End of IE11 support

5.    Improvements to the Angular CLI

6.   RxJS 7.4 is now the default for apps created with ng new.

7.    Now support for TypeScript 4.4.

8.   Made important changes to the docs on to give developers more insights into localization ΑΡΙ


Get Angular v13 now by running ng update in your project. We also have an update guide available at to help teams get instructions on how to update their projects.

 As per

Changes and deprecations in version 13

For information about the deprecation and removal practices of Angular, see Angular Release Practices.

·         Removal of View Engine

Requires all applications and libraries to build using Ivy. See the Upcoming improvements to Angular library distribution blog.

·         Modernization of the Angular Package Format (APF)

Removed older output formats, including View Engine specific metadata.

·         Removal of IE11 Support

Removes all support for Microsoft Internet Explorer 11 (IE11). See Issue #41840.

·         Testbed module teardown

Adds the option in initTestEnvironment to completely remove test environments from an application. See the Improving Angular tests by enabling Angular testing module teardown article.

·         $localize tagged message strings

Adds documentation for the Angular $localize API and tagged message strings.

·         Disk Cache

Enables the persistent build cache by default for all applications. See Issue #21545.


Introduction to Visual Studio 2022 | First Visual Studio 2022 Preview Focuses on 64-bit Support

Microsoft announces the next major release of Visual Studio IDE (Visual Studio 2022) focusing on 64-bit application. It means that the next version of Visual Studio will no longer be limited to ~4GB of memory in the main devenv.exe process, and allow you to build the most complex solutions without running out of memory. 

Microsoft announced that VS 2022 was going to be the first 64-bit edition of its flagship IDE.

It will have a refreshed set of icons, more personalization options, and support to provide you more control over building modern applications

As per the release video by Microsoft Visual studio on 15-July-2021 , they have added some new features

- Hot reload for C++ and .NET apps

- Live Preview for XAML applications

 - Build and Debug C++ projects on WSL 2

- C++20 Support - Build interactive Web UIs with Blazor

- Web Live Preview for ASP.NET web pages

Learn more about Preview 2:

Visual Studio 2022 Vision:

Visual Studio 2022 Roadmap:


#VisualStudio #VisualStudio2022 #VS2022

 You can find video

As per the Microsoft blog , below are the some Preview release versions 
Visual Studio 2022 v17.0 Preview Releases
you can download Visual studio 2022 by going below link

you can learn more about Visual studio 2022 by going below Microsoft blog

What's new coming with Visual Studio 2022

Microsoft announces some details about the next major release of Visual Studio and it is Visual studio 2022 which will be in 64-bit. It will be a great tool to design 32 bit of applications.

Some of the Key features is coming with the visual studio 2022

        User Interface

Ø  In the latest version of VS as Visual Studio 2022, Microsoft announced that it is refreshing the user interface to make it easier to work.

Ø  Microsoft announced that it will include latest icons for good clarity, explanation and legibility.

Ø  It will also use a new fixed-width font (Cascadia Code) for better readability and ligature support

2.   Visual Studio IDE

IDE means new personalization settings. Visual Studio 2022 will provide more abilities to customize the IDE to sync the settings across devices. If you are using multiple dev boxes, you will be beneficial from that.

3.   Multi-Platform Apps

Visual Studio 2022 will have full support for .NET 6. So, you can build multi-platform apps (Windows, Android, macOS, and iOS) using the .NET Multi-platform App UI (.NET MAUI).


Apart from that It will also help you to quickly build modern, cloud-based applications with Azure. Apart from these, Visual Studio 2022 will also include performance improvements while running diagnostics and debuggers. It will make a good real-time collaboration using the Live Share. If you are using Git or GitHub, Visual Studio 2022 will have the full support and improved code search.

Debugging & Diagnostics

  • Attach to process dialog improvements
  • Exception helper improvements
  • Force Run to Click
  • Memory Dump Diagnostic Analysis

.NET Productivity

  • Introduce parameter refactoring can move a new parameter from the method implementation to its callers.
  • Track Value Source for data flow analysis
  • Option to underline variables that are re-assigned
  • Added search option in Generate Overrides dialog
  • Quick info for XML <code> tags now preserve whitespace and CDATA blocks
  • Find All References window will now group multi-target projects
  • Refactoring to remove repetitive types in Visual Basic
  • Go to Implementation will no longer navigate to members with abstract declarations that are also overridden.

Razor (ASP.NET Core) Editor

  • Hot Reload support in Razor files
  • Performance improvements
  • Formatting and indentation enhancements
  • New Razor editor colors
  • TagHelpers are now colorized and have quick info classification support and completion tooltips
  • Angle brace highlighting and navigation for Razor constructs
  • Comments now have auto-completion, smart indentation, auto-inclusion of commenting continuations, and block comment navigation

Hot Reload

  • Hot Reload (for both .NET and C++ code) makes it possible to make many types of code edits to your running app and apply them without needing to pause the apps execution with something like a breakpoint. In this release we continue to improve this feature, highlights include: Support for C++, .NET Hot Reload when running without debugger (CTRL-F5), support for more types of edits and more.

Trusted Locations

  • We have revamped the “Trust Settings” functionality and can now show a warning whenever untrusted code (e.g. files, projects or folders) is about to be opened inside the IDE.

XAML Live Preview

  • XAML Live Preview is now available for WPF developers as a first preview of this new experience. With Live Preview we enable the ability to capture a desktop apps UI and bring it into a docked window within Visual Studio, making it easier to use XAML Hot Reload to change the app and easily see the changes as you make them. This feature improves the XAML Hot Reload experience on a single screen device, while also making it possible to polish the apps UI with tools such as deep zooming, rulers, element selection and info tips.

Remote Testing

  • Very early experimental preview of enabling running tests on remote environments such as linux containers, WSL, and over SSH connections.

Azure Cloud Services

  • Azure Cloud Service (classic) and Azure Cloud Service (extended support) projects are now supported.


  • We have released a new JavaScript/TypeScript project type that builds standalone JavaScript/TypeScript projects with additional tooling. You will be able to create Angular and React projects in Visual Studio using the framework version installed on your computer.
  • JavaScript and TypeScript testing is now available in the Visual Studio Test Explorer

Issues Addressed in this Release

  • Fixed an issue where a website failed to load when running ReactRedux with IIS Express.
  • Fixed an issue causing error message: "Uncaught ReferenceError: notifyHotReloadApplied is not defined".
  • Fixed a failure to connect to the server for 6.0 signalR projects when using Ctrl+F5.
  • Corrected an issue where the include search order may be incorrect when prepended to "Include Directories".
  • Fixed Database Project: Dragging a file from solution explorer into an opened one is deleting the file from the file system!

Visual Studio 2022 Blog

The Visual Studio 2022 Blog is the official source of product insight from the Visual Studio Engineering Team. You can find in-depth information about the Visual Studio 2022 releases in the following posts: