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Difference Between SEO & SEM

Every business must have to create a good online presence for easy communication with the customers and generate more revenue. Internet marketing is the term which comes there.

SEO and SEM both are the part of the digital marketing. The main difference between SEO and SEM is that SEO is the process to improve the visibility of the website over the search engine’s organic or free search results whereas SEM is the paid service means you have to pay to the search engines for your target result display over the SERPs.

Search engines provide two types of search results. One is free and second is paid. SEO is the technique for getting better rank over free search results and SEM is for the paid search results.

SEO fundamentally help in optimizing your website or online portal to get improved search engine rankings in the targeted free search results. On the other hand, SEM goes ahead of SEO. It engages different online marketing methodologies that can provide you added search engine visitors faster such as PPC advertising.

For the rationale of doing an assessment between SEO and SEM, it is imperative to commence with the definition of SEO as well as SEM so that it is apparent for everybody, what the variance between the two is and how they can be beneficial with their own capacity.

Check below seo vs sem table.

seo vs sem

What is Search Engine Optimization (SEO)?

SEO is the progression of optimizing your website for the intention of getting more and more free online traffic from different types of search engines.

An optimized portal offers a better understanding to the Search engine crawlers, and this amplifies the probability of ranking higher in SERPs.

Managing On-Site SEO

There are two key pillars of SEO, which is known as on-site SEO and off-site SEO. On-Site SEO is regulations which enable you to be more relevant on your website portal or a blog site so that its search engine friendly.

On-Site SEO streamlines your website for utmost visibility in the diverse search engines. For instance, you require utilizing and updating optimized Meta titles, superior Meta descriptions, better formatted URLs, the right use of H1, H2, images, keyword mapping in the website content and much more.

Other Illustrations of On-Site SEO include optimizing the site, so it loads swiftly and is more responsive to all categories of devices. Additionally, it also comprises of making trouble-free for your targeted readers to share your website content online as well as on social media sites.

Managing Off-Site SEO

On the other hand, Off-Site SEO helps increasing natural backlinks from other significant high PR sites through regular profile submissions. Off-site SEO is a complete procedure for getting more backlinks whose major objective is to augment your website’s reliability and trust in the view of search engines.

Backlinks are links coming from other websites to your website portal. That is also the basis why off-site SEO is recognized as link building marketing.

To avoid any mix-up, it’s not only a subject of how many links you have directed to your website portal however they should even come through reputed sites for an actual boost in search engine rankings.

The key instances of Off-site SEO include building profiles on high-quality websites, distributing your content on social media and professional sites and getting hold of consideration from leading people in your business domain. Other concepts cover multilingual SEO, local SEO, international SEO, and more.

What is Search Engine Marketing (SEM)?

SEM is even a powerful marketing procedure with an aspiration of getting further visibility in search engines either by getting more organic traffic (SEO) which is free and other is paid online traffic through paid search engine advertising.

According to Wikipedia, it is an internet marketing process that includes promotions of sites by boosting their visibility in search engine results pages (SERPS) by online optimization and paid advertising.
Through paid marketing, you effectively purchase advertising space in the search engine results. So as an alternative to trying to rank higher and get the free traffic you pay to become visible in face of the searches.

The popular advertising agency for purchase advertising space is Google AdWords. In the course of using Google AdWords, you can get your ads to come into sight in the Google search results and you pay only for the clicks on your advertisements. It is also recognized as Pay-per-click or PPC campaigns. Bing and Yahoo have an identical system but it not so thriving and extensively used as compared to AdWords.

The Significance Of SEM Traffic

SEM traffic is measured and considered to be the most vital source of online traffic as it is better targeted to your audiences. It is extensively acknowledged that people utilize search engines to discover a solution to a difficulty, an answer to their question or to study how to do something.

So when online searchers click on a site from the search results or while clicking on an ad, they are more likely to convert as a business or service inquiry. The relevancy of websites that are being shown as search results linked to advertisements empowers SEM traffic to be more precious than any of the other online sources.

Facebook, LinkedIn, and Twitter are attempting to optimize their advertising platforms by using their targeted traffic although still traffic coming directly from the search engines has a superior ROI.

What exactly is Paid Search and how it works?

You can pay search engines to list your website in the results listings which is known to be paid search. If you are willing to run a paid search campaign, here is the procedure that has to be followed:

  • Create an account
  • Commence by creating an account. You will require inputting details about your services, products, and business and how you would pay for your targeted ads.

  • Pick your keywords
  • You have to run ads on the basis of your keywords. When people search for those keywords, they will perceive your ads. That’s why it’s vital to opt for the keywords that are applicable to your niche business and services.

  • Bid for the targeted keywords
  • Unless your keywords are very exclusive, you will find it challenging and have to compete with other advertisers for specific ad spaces. That’s why you necessitate bidding higher in comparison so that people observe your ad and you get the desired ROI.

  • Setting up a keyword friendly headline and description
  • Since your ad will be displayed and showed in the search results, you will have narrow characters for both the attractive headline and the relevant description. Use the space intelligently.

  • Set up your budget carefully and smartly
  • Most advertising platforms let you set a cyclic budget so you don’t have to be compact with overrunning of set pricing.

  • Making your Campaign Live
  • Once the whole thing is being set up, you need to make live and launch your campaign with a click of the button through your paid account.

Divergence amid SEO and SEM

Search ad networks, by and large, utilize a pay-per-click (PPC) payment arrangement. That indicates you need only to pay when someone clicks on your placed advertisement. The gain to PPC is that you are only paying or investing when your ad gets some form of outcomes.

Where are these Advertisements being displayed?

If you are planning to run an ad on a particular search engine, you indeed want to know where it will be displayed.

  • Google AdWords
  • Your ad will illustrate at the top of the search engine results pages (SERPs) but not inevitably on the foremost page. There are three spaces at the top of the SERPs. If you want your ad to come into view at the top of the initial page, you’ll require an Ad Rank superior to your business rivals.

  • Bing Advertisements
  • Bing ads comprises ads at the top and on the particular sidebar. As you can visualize, ads at the top are highly priced.

Google AdWords Ad Rankings

Google ranks ads and uses that rank to settle on where they are publicized in the SERPs. An ad with a rank of 1 will display at the top of the foremost page.

Here’s what settles on your ad rank:

  • Bidding Amount
  • Accepted click-through rate (CTR)
  • Ad in sync to keywords utilized
  • Quality of Landing pages

If you want to advance your ad rank, here’s what you can execute:

  • Amplify your bids
  • Enhance the overall quality of your ad
  • Get better on the landing page user experiences

Which Is More Beneficial? SEO or SEM?

Now that you know the differentiation between SEO and SEM, you might be thinking: “Which one is healthier?”

The answer to that question relies on your business category, strategy, priority, and marketing budget.

  • If you are running a startup, you possibly won’t have a lot of currency for paid search.
  • If your business has high budget and an intently defined target market, you might get better advantages from paid search.
  • Today, all businesses require SEO. That is no longer an alternative.

Difference between SEO and SEM based on Paid Search Advantages

  • Immediate web traffic unlike SEO which takes a longer time to fetch results
  • The assured visibility that increases brand and company awareness

Difference between SEO and SEM based on Long term rewards

  • It takes time but offers long term benefits in terms of organic search credibility
  • Usually low-cost in relation to SEM and its expenses reduces in the long run

Similarities between SEO and SEM

  • Both boost inquiries or leads to your website portal
  • Amplify visitors to your web portal
  • Add to overall online visibility
  • Both can be used for targeting users
  • Offer trackable and measurable online analytics
  • Both targets users based on search intentions
  • Depend on quality content and precise keywords
  • The conversion depends on the website user experience

How backlinks assist both SEO and SEM?

Google looks for influence when ranking website pages for a precise keyword. One of the ways that Google considers whether or not a website has powerful authority is by judging from the number and quality of backlinks.

If key websites like Huffington Post, The New York Times, Forbes and BuzzFeed link to a website as a source of information for a picky subject, Google will pass page rank to the related site. As a consequence, that website will be more probably getting a better rank for search terms correlated to its focus.

That’s why it’s essential that you construct a strong backlink profile from trustworthy sites with superior domain authority.

Backlinks help both SEO and SEM, however as SEM largely focuses on the paid surface of search marketing, backlinks don’t hold the major influence that they do with SEO.

Some Vital SEO and SEM Strategies

There are quite a few essential SEO strategists that you should use to enhance your search rank:

  • Keyword research
  • Use a tool like SEMRush to identify keywords in relation to your business and industry. Then, optimize the website pages by mapping those keywords in the content, Meta title and Meta description.

  • Content marketing
  • You should even use the keywords you discovered to create high-quality blogs, marketing collateral and other long-form content. Google really likes “How To” blogs that bring solutions to key questions.

  • Link building
  • As we discussed above its essential to get backlinks from high PR sites to your website. That’s because submissions on those sites will improve your page ranks.

  • User experience (UX) optimization
  • Finally, it’s imperative to build up a website that recommends visitors a constructive experience. That means it desires to look grand on all platforms particularly on mobile devices these days and display a UI that’s insightful.

You will explore some of the above SEO strategies common to SEM

  • Keyword research
  • Yet again, a tool like SEMRush will assist you to figure out the keywords you could have for bidding included in your paid marketing strategy.

  • Setting up a goal for your marketing campaign
  • Are you trying to produce new leads? Augment brand awareness? Get better on sales? The overall goal will notify the positioning of your ads.

  • A/B Test
  • Testing is the key. Test your content, CTAs, and ads to try out what combinations work for you for the best possible outcomes.

Conclusion:

So, we can conclude that both SEO and SEM are much required for the success of your online marketing campaigns. You can use both or select one of them as per your business domain, targeted industry for sales and marketing requirements.

If you have big budget and want to get your goal immediately, then you can use SEM and if you are a low budget agency and can wait for target result, then SEO is the best choice.

Written By : Technostacks

Scanning and Detecting 3D Objects

Let’s experience something new today – (AR)

Sometimes you might be having a thought that why cant you convert some of your thoughts into reality or visualize them at a time which are in trend, so for that i have an enormous material for you to learn….So without wasting the time let’s start!

Whenever you go on a tour or at some historical place there you will surely need a guide right? who can guide you properly regarding each role model or statue present there. Skip all this just download the mobile application for your ios in your phone or tablet, then place your device on any sculpture or art, after that just wait for the results in which you will get to see an interactive 3D picture in front of you which will work by recognizing the different parts present near you and then after it will get converted into the virtual content appearance.

Now comes the most important point to be noted

How does it works?

ou can run this application in IOS 12, it is totally based on ARKIT platform. The mobile application provides reference objects which converts three-dimensional features of known real-world objects, then after ARKit gives a signal responding to the application that when and where it may detect the similar authentic objects while performing an AR session.

You can collect different ways to use the object detection feature through this sample code project given:

  • By using your mobile application you can scan an original object and that will come out in refernce object to detect that matter completely.
  • You can save this data for further use by referring the ARObjectScanningConfiguration and ARReferenceObject device as part of your own asset production pipeline.
  • By using detectionobjects property in a world-tracking AR session you can create reference objects for detection.

Scan Real-World Objects with an iOS App

The varied steps for scanning and defining a reference object suitable by ARKit platform for detection are quite simple. (Firstly Create a Reference Object in an AR Session as mentioned below) Next comes your devotion towards the reference object you create and the victory behind it in while detecting the object in you mobile app. Get your ios device ready for running this application which will result into the supreme quality data scanning and the files which you can use for detection.

Note

To make your work easy always go for top act ios device which scans the object quickly, the process of detecting the scanned objects can be done through any ARKit-supported device, but the foremost point matters is the tremendous character scanning which can be done peacefully on terrific device.

1. Ready For Scanning – Start the application, place the physical object on the clean surface free of other things so that it gets centered in the camera view, a box appears exact on the object which roughly estimates the size, then move forward by tapping the next button.

2. What is Bounding Box – A box which is used for capturing the object in 3D and then after by holding its sides you can resize it. Also keep in mind that you have to scan only the features related to the object not from outside the box. Move forward to scan button.

3. Scan the object – Keep moving in varied directions targeting the object until the bounding box highlights the part you already scanned, Dont skip a single direction while scanning the object as it will help the users to recognize the object easily. After the scanning process completion the app will move forward to next step by its own.

4. Modifying The Origin – You might see the X, Y and Z coordinate axis lines near the object’s anchor point. Just drag those circles axis relating the origin mutually in context to the object. If you want to visualize the 3D model in USDZ format the just add (+) button to it. If you are going in perfect manner then a model will get displayed by the application in front of you but after the perfect detection of real-world object is completed by AR, including the similar size of the model for adjusting the scale of reference object. Move forward to Test button!

5. Test It And Export It – Finally the ARReferenceObject is visible now from the application but with a session of reconfiguration of detecting it. Using your sight skills just observe the the physical – world object from different directions and positions adding to varied environment places and placing in bulk lighting options just to get a surety that ARKit perfectly recognizes its position and does orientation. Move forward onto export button to get the sheet finished by saving it. Through this procedure you can easily export the sheet to you development Mac using AirDrop, or else you can send it to the files app for getting saved in icloud Drive.

Note

An ARReferenceObject contains the featured information that is necessary for ARKit to recognize the real-world object, and never displays a 3D reconstruction of that object.

Detect The Reference Objects in AR Experience

Use a Xcode asset catalog for scanning the objects in the particular application for the detection purpose:

  • For adding a new AR resource group in the asset catalog just click the (+) button
  • Move .arobject files from the existing platform into the newly created resource group.
  • Optionally – For each reference object, use the inspector to provide a descriptive name for your own use.

Note

Place all the objects in the same session of your choice and comfort into a resource group, and use separate resource groups to hold sets of objects to be used in separate sessions.

To enable object detection in an AR session, load the reference objects you want to detect as ARReferenceObject instances, provide those objects for the detectionObjects property of an ARWorldTrackingConfiguration, and run an ARSession with that configuration:

object detection in an AR session

When ARKit detects one of your reference objects, the session automatically adds a corresponding ARObjectAnchor to its list of anchors. To respond to an object being recognized, implement an appropriate ARSessionDelegate, ARSCNViewDelegate, or ARSKViewDelegate method that reports the new anchor being added to the session. For example, in a SceneKit-based app you can implement renderer(_:didAdd:for:) to add a 3D asset to the scene, automatically matching the position and orientation of the anchor:

ARKit detection

Here are the following points to be kept in mind for getting the top results while the object scanning and detection:

  • While scanning the object ARKit always prefers for the clear surface and stable visibilty, apart from this the textured objects give the supreme result in comparision to plain or reflective objects.
  • The scanning and detection process is suitable only for the objects which are adjustable meet the required purpose.
  • The object to be detected should be of same structure as per the reference object. For obtaining the perfect shape always go for harsh objects while detection.
  • To make your detection proccess more familiar just use the Consistent indoor alluring lighting that works best with the original object scanned.

Create a Reference Object in an AR Session

This sample app provides one way to create reference objects. You can also scan reference objects in your own app—for example, to build asset management tools for defining AR content that goes into other apps you create.

A reference object encodes a slice of the internal spatial-mapping data that ARKit uses to track a device’s position and orientation. To enable the high-quality data collection required for object scanning, run a session with ARObjectScanningConfiguration:

reference object encodes

During your object-scanning AR session, scan the object from various angles to make sure you collect enough spatial data to recognize it. (If you’re building your own object-scanning tools, help users walk through the same steps this sample app provides.)

After scanning, call createReferenceObject(transform:center:extent:completionHandler:)to produce an ARReferenceObject from a region of the user environment mapped by the session:

produce an ARReferenceObject

When detecting a reference object, ARKit reports its position based on the origin the reference object defines. If you want to place virtual content that appears to sit on the same surface as the real-world object, make sure the reference object’s origin is placed at the point where the real-world object sits. To adjust the origin after capturing an ARReferenceObject, use the applyingTransform(_:)method.

After you obtain an ARReferenceObject, you can either use it immediately for detection (see “Detect Reference Objects in an AR Experience” above) or save it as an.arobject file for use in later sessions or other ARKit-based apps. To save an object to a file, use the export(to:previewImage:)method. In that method, you can provide a picture of the real-world object for Xcode to use as a preview image.

Reference URL:- developer.apple.com

Written By : Saraman - iOS Team Lead

Android Application Development Frameworks

Note:- This article is updated on 20 May 2020.

Cross-platform android development frameworks offer coders with an absolute set of tools developed to enhance productivity by resolving universal issues. The question is which android frameworks will be most good for you in 2020. To lend a hand, we have created a comprehensive list of cross-platform frameworks and detailed android framework architecture for your development projects.

List Of Top Cross-Platform frameworks For App Developers

1. Corona SDK
2. Xamarin
3. Appcelerator Titanium
4. TheAppBuilder
5. PhoneGap
6. NativeScript
7. Ionic
8. Sencha Touch
9. React Native
10. JQuery Mobile

With almost 3 million mobile applications on Google Play, the Android operating system leads the overall landscape. The small businesses, SME’s and large enterprises work hard to set up a sturdy mobile presence and grip their share of the market. However, not everybody has the know-how and assets vital to construct an app from scratch by means of native tools. Also, it is highly time-consuming and pricey to build an Android app over an iOS app. However what if I say you that this is not relatively true? In fact, there is an assortment of frameworks accessible to facilitate developing apps swifter at the same cost and effectiveness.

The intent of this best android development framework is to lessen the effort the developer puts in by escalating productivity, offering inbuilt tools and technology solutions to work on the tricky part of coding. I will sketch some of the most excellent frameworks here so you can outline out which is finest for you or can be utilized as a Google android framework.

The endeavour of Frameworks Is to Transform Mobile Development to as Effortless as Probable.

Let’s see today’s best Android development frameworks.

1. Corona SDK

Corona SDK

Corona SDK assures up to ten swifter game and mobile development solutions. This is feasible as Corona app backend framework depends completely on Lua, a lightweight multi-paradigm programming language with a prime focus on compactness, swiftness, portability, scalability, robustness and trouble-free usage.

The authorized websites guides to turn absolute beginners into seasoned professionals. The guides go over the whole thing from the fundamentals of mobile development to more superior topics. Corona SDK is 100 % free, executed on both Windows and Mac OS X backing real-time quality testing.

Modernization and swift application development

Corona is exclusive in that it empowers advanced and quick app development. Its matchless development and iteration pace, supported by its dynamic API, turns it to a precise framework for all-purpose development and gaming.

This framework additionally hosts native UI support, an integrated engine, and over 500 APIs, along with a powerful advertising platform created for developers. This framework is outstanding and uses highly flexible programming language.

2. Xamarin

Xamarin

Xamarin is one of the most popular android frameworks. Xamarin as a top android app framework was introduced by the professionals who built Mono. It is an Ecma standard-compliant and comes as a .NET framework with a set of compatible software tools. Xamarin enables developers with a single C# codebase that can be utilized to generate native apps for all key mobile operating systems.

Highly Utilized by Developers across the World

In comparison to other frameworks, Xamarin has been already utilized by more than 1.4 million developers across the globe. With Xamarin meant for Visual Studio, developers can take benefit of the authority of Microsoft Visual Studio and all its superior features, counting code completion, along with debugging of mobile applications on a device or simulator.

Xamarin Test Cloud makes it promising to instantaneously test apps on 2,000 real devices directly in the cloud. This is by far the most excellent way how to compact with the weighty fragmentation of the Android network and released bug-free mobile apps that work devoid of any chief issues with frameworks for android development.

Superior Cross-platform Software Development Tool

To one side supporting native UI, the ways app logic is being shared about multiple platforms transforms Xamarin to an advanced cross-platform software development tool. Application logic essential for the UI layer, such as input validation, the web service calls, and interactions with the database as well as backend enterprise integrations is only once coded in C# saving the time and efforts. Developers can share as much as 70 % to 75% of the code transversely working on the altering operating systems. This saves time requisite to re-coding and reduces the possibility of bugs to move stealthily in the code while building android app development software.

3. Appcelerator Titanium

Appcelerator Titanium

The Appcelerator Titanium framework is an integral part of the Appcelerator Platform, which comprises each tool mobile app developers may require in developing, applying to test, and the deployment of the needed apps. The Titanium framework uses functionalities of JavaScript to call an enormous collection of APIs. These APIs call native features of the operating systems, providing incomparable performance as well as native look and feel.

The Visually-Oriented App Development Process

Titanium holds a visually-oriented app development procedure which depends majorly on pre-built blocks of code which can be accumulated by dragging and dropping functions. You can generate data models either by programming or with visual effects. Testing of the refined apps is executed in the cloud and monitored by utilizing the Mobile Lifecycle dashboard, which provides precious insights into app presentation.

A Higher level of Agility

With a high level of suppleness and flexibility, Appcelerator’s Titanium massively speeds-up application development with just a few lines of code in a small number of hours. It is significant to note that this would more often than not need more consideration and some days to be executed when you work with other frameworks.

Whether you decide on for native or cross-platform toolkits, Titanium is for all time an open alternative to develop a prototype to assess the user’s interface with the UI, agreed with its swift development. There are at this time more than 345,577,760 devices running all the way through an assortment of Appcelerator-powered apps. This framework also provides mobile testing automation, which facilitates manual testing and demanding operations.

Higher Level of Code and Straightforward Reusability

This apparently does not operate like how the renowned Java goes forward and it is diverse to some extent. It is obligatory to set up the development of one of the two platforms and then put into practice the requisite measures to make the application also run on the other one. The benefit here is given to you- the developer does not have to be trained on two different languages and can arrive at a very higher level of code and its easy reusability.

4. TheAppBuilder

TheAppBuilder

Used by some of the principal enterprises across the globe, TheAppBuilder framework supports a codeless UI to enable swift app development. It works most excellent when utilized to build information-based applications. The framework has pre-built blocks for functionalities like push notifications, polls, feedbacks, updates related to content, intelligence, and analytics. Best of all, it integrates unswervingly with Google Play, making it probable to publish completed apps with just a single click.

Enhances Communication and backs Non-technical Event Set-ups

TheAppBuilder further offers you a launch pad to engage and refresh your resources by measuring the company results. As much used for corporate apps it assists to stay engaged, measure and enhance your staff communications.

It offers benefits in the form of non-technical event app set-ups, highly accessible event content, boost in employee engagement at the affair, measurable event engagement, greater than before event management and handling its overall cost-effectiveness

5. PhoneGap

PhoneGap

PhoneGap framework is being sponsored by Adobe and Apache which works as a cross-platform application. It is the most trendy Android app development framework around the globe. It comes from the team following Apache Cordova, which is an open-source mobile development framework that utilizes CSS3, HTML5, and JavaScript for cross-platform development, and is entirely open-source.

At its heart is an instinctive desktop application utilized to build apps, and serve those applications to linked mobile devices. At the end of the day, there are no more difficult to understand text commands those which can simply turn or get erroneous and are even tough to memorize as an android developer framework.

Desktop App, Third-party Software Tools, and Flourishing Community

The incredible desktop app goes together and works in sync by PhoneGap’s mobile application. The app makes it potential to right away see alterations on your coupled mobile device. Things that make PhoneGap so useful are its extended plugin library, 3rd party software tools, and a flourishing community.

The framework consents the professionals to see and check the transformations you are making as you work or run your program. The framework supports you create apps using the present as well as in-progress web technologies. The newest version of the framework offers Windows phone support and a range of CLI functions. It is considered as a “wrapper and packer” framework when used in a deployment environment as it can also be incorporated into a multiplicity of the different frameworks.

6. NativeScript

NativeScript

Angular, JavaScript, and TypeScript are on the whole the most powerful and used development technologies. With NativeScript, you can easily utilize them to built applications. It needs to put forward, NativeScript platform and UI through a single code base. This is different than other frameworks that have the similar functionalities. NativeScript is highly backed by Telerik, which is a leading Bulgarian organization providing numerous advanced software tools.

To be of assistance for mobile application developers so that they turn familiar with this framework, the authorized website has in store multiple ranges of resources and comprehensive tutorials. You can look through real-world application implementations, learn the official documentation, and even steer into the advanced source codes.

High Performance Admittance

Further running of the JavaScript on the UI thread permits NativeScript to provide high performance admittance to 100% of native platform APIs all the way through JavaScript. So running app code on the UI thread allows the NativeScript to picture all native APIs to app JavaScript in a competent and high level performance way. NativeScript plugins and highly developed modules by now cover numerous in general situations that need background thread processing.

7. Ionic

Ionic

It is a free and open-source framework which is licensed under the MIT license. It provides a complete library of elements, gestures, and software tools. Ionic facilitates you to develop modernized web and native mobile applications for all major app stores incorporating a single codebase. This can be made possible by premier native plugins; it’s tremendously straightforward to utilize functionalities and features such as Health Kit, Bluetooth as well as fingerprint authentication.

Superior Level of Presentation and Optimization

Ionic is also about presentation and optimization. All apps produced by using Ionic are sophisticated in display and performance. So far, around 3 to 4 million apps have been built by 4 to 5 million Ionic developers from across the globe. If you want to join them, explore their authorized website and learn more concerning this framework or just connect with a software service provider with your project requirements.

This framework is well-liked due to its cross-platform functionalities and features. It also offers the choices to integrate with AngularJS for building modernized apps. Its command line interface permits for functionalities and features together with emulators, live reload and logging. It is one of the open-source frameworks for structuring mobile SDK applications for budding native web apps.

How Ionic Framework Helps Developers

The advantages of the Ionic framework in app development includes its platform its aptitude to work on different platforms, default UI, feasibility to cross-platform development and its development on top of the frameworks like AngularJS.

AngularJS is a perfect approach to make program based apps, while with the help of the Ionic structure, resourceful designers can build hybrid and web based applications.

Ionic framework application development makes the most of Cordova plugins to lend a hand to developers in attaining diverse components of the adaptable framework, for instance, Camera, GPS, and much more to offer.

8. Sencha Touch

Sencha Touch

Just like TheAppBuilder, Sencha Touch is an advanced focused framework for building universal mobile applications. It drives hardware acceleration techniques to reach higher performance grades. It comes with around fifty built-in user interface components and native themes, which make it easier to build eye-catching apps that, be a focus for users.

Full-Bodied Data Package

Integrated with the Sencha framework is a full-bodied data package that can get through data from any of the used backend data source. With this package, it is achievable to generate a compilation of data using extremely functional models that recommend features and functionalities like sorting and filtering. The framework has received much admiration from companies that have used it and other leading technology organizations.

Benefits of Sencha Touch development

Some of the other benefits of Sencha Touch development include its responsive touch features, high level of flexibility and compatibility, faster operational execution, in-built native packaging, integration with APIs and cost-effective solutions.

9. React Native

React Native is created by Facebook and utilized by Airbnb, Instagram, Tesla, Walmart, Baidu, as well as many other Fortune 500 companies. It is a highly useful and open-source version of Facebook’s React JavaScript framework. As React Native utilizes the similar UI building blocks as most iOS and development framework for android applications, it is unattainable to differentiate a React Native app from an application developed utilizing Objective-C and Java.

Boosts Swiftness of Development and Saves Resource Costs

React Native increases the speed of development and saves resource costs. With only one code written, it saves the two times efforts for development and sustenance of maintenance and only one team of developers to be hired.

The framework is trouble-free to market as it backs over-the-air updates. The feature allocates you to bypass the tedious market stores agreement process if you want to make slight changes swiftly. You just have to send a modernized version out, the targeted users can download it, and the application upgrades can be enabled quickly.

You can very well save up to 48 hours which are required to submit an application to App Store and up to 24 hours when applied in Google Play. Thus, you can be in charge of the required updates releases for your developed software application.

10. JQuery Mobile

JQuery Mobile

This framework has a huge community base as it provides an assortment of appealing features. The functionalities include semantic markup, progressive enhancement, and theme able design, along with Cordova support.

Further, its effortlessness means that you can write the code once, and it will execute it virtually on any of the required platforms. It is a decent framework to utilize if you are even building apps on Windows Phones and Blackberry.

This framework further consent to developers to make a superior branded, responsive mobile application or web portal that will work on most trendy smartphones and tablets along with the desktop platforms. The jQuery Mobile builder offers an added support by including a custom JavaScript file, at the side of occupied and structure-only style sheets for creation usage.

Key Takeaways

In spite of which android mobile development framework you choose, don’t be frightened to alter your mind if you ever commence to feel like there are enhanced choices out there which suit your project requirements. Cross-platform frameworks for android development are enormously volatile, with new ones being launched and released on a consistent basis.

The key purpose of a good framework for android is to lend a hand for rapidly turning an uneven idea into an operational app and the operational app into an elegant product.

You can get in touch with us for consultation and investigation, so we can help you out to match your project with the finest mobile framework in harmony with your business and technology requirements along with your set budget.

Written By : Technostacks

Difference between Augment reality & Virtual reality

Augmented reality and virtual reality are related but diverse. The two recurrently come up in the similar conversations and are often puzzled with one another primarily by the people who are not much informed in the related fields. But the disparity is major and worth clearing up.
They both have the noteworthy ability to change or modify our perception of the world. Where AR and VR differ is the sensitivity of our presence.

As per the Wikipedia, Augmented Reality (AR) is an appealing experience of a real-world environment whereby the items that reside in the real-world are “augmented” by digitally-generated perceptual information, across sensory modalities, which includes visual, auditory, haptic and somatosensory.

On the other hand, Virtual Reality (VR) is able to rearrange the users and put them someplace else. By utilizing closed visors or goggles, VR blocks out the involved room and puts our occurrence elsewhere.

In this way, augmented reality modifies one’s current perception of a real-world environment, whereas virtual reality entirely replaces the user’s real-world environment with a virtual one.

Both are gaining a lot of media consideration and are promising remarkable growth. So what is the dissimilarity between virtual reality vs. augmented reality? Let’s start explaining both individually and then later talk about their differences.

What is Augmented Reality?

Augmented reality (AR) is a technology that levels computer-generated augmentation on a live reality in order to make it more consequential. It enables the capacity to network with it.

AR is developed into mobile apps and used on smartphone devices to merge digital components into the real-world. It is done in such a way that they boost one another; however, they can, in addition, be handled separately.

AR technology is swiftly coming into the mainstream. It is used to exhibit score overlays on telecasted sports games and pops out 3D emails, pictures or text messages on diverse mobile devices. The technology leaders are using AR to do remarkable and ground-breaking stuff by utilizing holograms and motion-activated commands.

What is Virtual Reality?

Virtual reality (VR) is an artificial, computer-generated recreation or delight of real-life surroundings or circumstances. It submerges the user by making them feel like they are present in the simulated reality personally, largely by thought-provoking their vision and hearing.

VR is characteristically achieved by wearing a headset like Facebook’s Oculus capable of integrating with the technology, and is used outstandingly in two different ways:

  • To produce and develop an imaginary reality for entertainment and gaming.
  • To improve training for real-life environments by generating a simulation of reality where people can run through beforehand like flight simulators for pilot training.

Virtual reality is realizable by a coding language acknowledged as Virtual Reality Modeling Language (VRML) which can be utilized to generate a sequence of images and spell out what types of interactions are achievable for them.

How AR and VR Work in Different Domains?

AR & VR works different in various domains

It is not forever virtual reality vs. augmented reality, they even operate together. They often blend to create immersing experiences. Alone or merged jointly, they are unquestionably opening up global options for both real and virtual alike.

  • Technology
  • Augmented and virtual realities both influence similar types or categories of technology, and they each survive to give out the user with an improved or enriched experience.

    Diverse companies have created various technologies for Augmented Reality and Virtual Reality platforms and devices. They support a different range of custom project development. The technology engines they support include gesture recognition, video conferencing platforms, mobile augmented reality and geolocation solutions.

  • Education
  • Augmented reality and virtual reality in education industry can be used for generating Virtual Learning Environments (VLE), feedback tracking, 3D objects and motion capture applications.

    As an instance, using these technologies a castle or a temple can be regenerated in a 3D environment and that it is feasible to walk through it as a factual surround setting without going out of the classroom. Other examples include building an entire Italian or roman centurion house, with rooms, and figuring its views from different angles.

    Watching yourself attired as an Italian or a Roman, while all the fabric accompanies your movements; stirring to wherever in the world. Have a feel of the different range of temperatures or a leisurely walk along the ocean floor enclosed by cephalopods or watching an absolute heart beating in the center of a classroom. These are just some of the potentials that these technologies enable to the education world.

  • Entertainment
  • Both technologies facilitate experiences that are fetching more commonly accepted and advanced purposes for the entertainment industry. While in the history they appeared simply a fantasy of a science fiction imagination are now attainable. The new and innovative artificial worlds come into existence under the user’s management, and deeper layers of communication with the real-world are viable.

    Leading technology entrepreneurs are empowering and developing novel adaptations, enhancements, and launching more and more products and mobile apps that support these technologies for the progressively more savvy users.

  • Science and Medicine
  • In addition, both virtual and augmented realities have great standpoint in altering the landscape of the medical field by building things such as remote surgeries which is a legitimate option. These technologies have previously been used to take care of and cure psychological conditions which include Post Traumatic Stress Disorder (PTSD).

How do AR and VR be at Variance in Intentional Functioning?

  • Intention
  • With augmented reality, you can bump up experiences by using virtual components. These experiences include stuff like digital graphics, images, and sensations as a new layer of interface with the real-world.

    Contrastingly, virtual reality constructs its reality that is entirely computer generated and advance technology driven.

  • Delivery Method
  • Virtual Reality is more often than not delivered to the user throughout a head-mounted or hand-held controller. This equipment unites people to the virtual reality and permits them to organize and navigate their actions in a background meant to replicate the real-world.

    Augmented reality is being utilized more in advanced devices such as smartphones, laptops, and tablets to alter how the real-world and digital graphics with images interconnect and interrelate.

Difference between Augmented and Virtual Reality Devices

AR & VR Devices examples

There are several AR/VR devices on the market, together with tablets, headsets, smartphones, wearable and the consoles. Every device offers a poles apart level of experience transversely the reality spectrum but also has particular limitations in relation to augmented reality and virtual reality examples.

A lot of the virtual reality headsets depend on smartphones to exhibit the content. While these devices are a better introduction to VR, they are deficient in the visual quality to provide an in-depth user experience. Headsets tend to be huge as well, making drawn out usage improbable.

Types of Augmented Reality Apps and Examples of their Practice Different than VR

AR & VR Application Examples

  • AR in 3D Viewers
  • This enables users to put life-size 3D models in their background with or without the utilization of trackers. Trackers are the straightforward images that 3D models can be correlated to in Augmented Reality.

  • AR in Browsers
  • The AR browsers can better enhance user’s camera display with relative information. For example, when you point your smartphone at a structure, you can perceive its history or sketchy value.

  • AR in Reality Games
  • AR Gaming software is in all probability the most widespread form of App. These apps produce compelling gaming experiences that use your authentic surroundings.

    Examples are Pokémon Go, Temple Treasure Hunt, Parallel Kingdom, Real Strike, Zombie Go and more.

  • AR with Global Positioning System (GPS)
  • AR applications in smartphones, by and large, include Global Positioning System (GPS) to mark the user’s location and its range to identify device orientation.

    Examples: AR GPS Drive/Walk Navigation, AR GPS Compass Map 3D and more.

Different Virtual Reality Examples, Use Cases & Case Studies

  • VOLVO Reality
  • A foremost car brand, Volvo came up with an inventive way to make the utilization of Google Cardboard. They worked on a wide-range campaign wherein they endorsed the users to submerge themselves in an astounding mountain drive all with the functioning of Virtual Reality.

    The Virtual Reality programme taken by Volvo assisted them in achieving a million impressions and got published in both online and offline media.

  • Matterport 3D Spaces
  • Contribution to exclusive 3D experiences in the real state segment, Matter port used Virtual Reality and 3D in the finest way possible. It’s a totally new form of immersive media invites users to take tours in virtual environments and discover places as if they were in actuality.

  • King’s College, London
  • The potentials of science, health, and medicine sectors have expanded appreciably and with Virtual Reality coming into control, these industries are finding steady ways to perk up. The King’s College Clinical Research facilities use their innovative Virtual Reality Lab for curing patients anguishing from Bipolar Disorder. The lab makes use of motion sensors that permit the user to walk through a virtual setting that will activate the patient for a picky reaction.

  • Tribeca Immersive
  • Formerly Virtual Reality was an entirely a gaming trend. However, VR is now finding its accomplishments in all sorts of industries which include Entertainment. Tribeca Film Festival along with their Tribeca Immersive has in fact created a major contribution in the entertainment space. With its Virtual Arcade, the guests can sign up for projects they want to observe all through the three hour ticketed session.

    In addition, Tribeca Cinema360 will enable users to observe 360-degree mobile VR content in a cinema set-up.

What is AR vs. VR Future Perspectives in Terms of Devices?

Future of AR & VR

The questions about the future technologies as well as devices comprise of their advancements with augmented and virtual reality. What if we could spot from end to end the screens we are encircled by each day?

I think both technologies will merge and come in two forms in the future which constitute tethered systems and standalone units. Tethered systems will be encompassing of a wearable on the head, with a wire attached to a processing unit. The standalone units will comprise of all the combined systems starting right from display to the processing inside the unit and be accessible as a wearable.

We are already attaining in the early hour’s signs of these trends as manufacturers pick a mixture amid standalone and tethered units. Even though some standalone units are by now available, these devices are more multifaceted and not easy to implement.

Why are we in the State of Compromise?

Today, we are implementing partial engagements and are in a state of compromise with both augmented and virtual reality devices. Nobody of the dynamic systems provide users an absolute, boundless and in-depth experience. Most of the systems are short of a natural, wide field of view (FOV), have restricted display resolution, stumpy brightness and undersized battery life as well being deficient in 3D sensing. It will take some more time to launch end to end devices with unconstrained AR/VR applications.

The AR/VR devices of the future should be highly personalized, easy to get to and can involve advanced technology experiences. As these essentials take hold, a platform shift is forthcoming with many devices turning up in the coming future for AR and VR to become an option to the current technologies working on smartphones.

Moving Forward: Companies Planning for the Future Opportunities with AR and VR

Although we have an inspiration of where the AR and VR market is heading, product companies, by and large, seem limited in developing their future plans. As per research, 52 % of companies haven’t even underway developed a primary plan. Out of those with AR/VR future plans, 98 % say their plans are stretchy to alter with the market. Given the unpredictability of the AR/VR marketplaces so far, some of the companies may be still waiting to do something.

The larger organizations may think about partnering with skilled vendors to productively conquer the challenges caught up with structuring out augmented and virtual reality technologies. This tactic will empower these organizations in keeping up with the latest market outlook, expected ROI and time-to-market. These organizations would even like to partner with proficient or strong start-up technology firms possessing wide-ranging engineering capabilities to offer end-to-end product development with some of the calculated investment risks.

Conclusion:-

We hope you are now aware of the differences between Virtual Reality and Augmented Reality.

What’s your thought for AR & VR?.

You can comment below to share your idea.

Written By : Technostacks

Difference between Machine Learning and Artificial Intelligence

Artificial Intelligence (AI) and Machine Learning (ML) are two trendy buzzwords in the market right now, and often appear to be utilized interchangeably.

They are not fairly the same thing, but the observation is that they many times direct to a little confusion. So I had deliberation to write this piece of a blog to clarify the difference.

Both terminologies come into picture when the subject is data analytics, insights, Big Data and the wider ways how technological changes are driving the entire world.

In brief, the precise answer to their disparity or difference is that:

Artificial Intelligence (AI) is the wider concept of machines being able to execute tasks in a way that we would regard it as “smart”.

And,

Machine Learning (ML) is an active application of the AI-based idea that we should actually just be able to give machines way into data and let them learn by themselves.

What is Artificial Intelligence: Let’s start with the Early Days

What is Artificial Intelligence

Artificial Intelligence has been now around for a stretched time. The Greek myths stated stories of mechanical men created to mimic our behavior. In early days some of the computers being built in European countries were recognized as “logical machines” and by reproducing abilities such as fundamental arithmetic and memory, they attempted to generate mechanical brains.

As technology, and, essentially, our understanding of how our brains work, has grown, the overall concept of what is and how AI can work intelligently has altered. Rather than progressively dealing with more multifaceted calculations, work in the field of AI determined on copying human decision making processes and executing jobs in ever added human ways.

How Artificial Intelligence devices are designed to take steps intelligently

AI devices were created to act intelligently and were categorically classified into primary groups such as applied or generalized. The applied AI is far widespread systems created to smartly trade shares, or a self-directed vehicle would fall into this grouping.

Generalized AIs are the systems or devices which can, in theory, manage any of the jobs. They are not so commonly used; however, this is where some of the most thrilling encroachment which is happening today. It is also the area that has driven the way to the enlargement of Machine Learning making its way into the technology domains. Often known to be the subset of AI, machine learning is advanced as well as more exact to think of it as the state-of-the-art in the current technology world.

Examples of Artificial Intelligence by their Solutions

Examples of AI

  • Virtual Personal Assistants

Cortana, Siri, and Google Now are some of the intelligent digital personal assistants on a range of platforms (Android, iOS or Windows Mobile). They assist in enabling essential information when you ask for it utilizing your voice; you can say “Where is the next-door Indian restaurant?”, “What is on my calendar at the moment?”, “Ring a bell to call John at 7 PM,” and the assistant will take action by discovering the information, communicate information from your smartphone, or interact to other apps.

  • Video Games

The efficacy of AI has increased making video game characters to become skilled at your behaviors, take action to stimuli, and respond in volatile ways.

  • Smart Cars

AI impacts the transportation (The self-driving cars are stirring closer to reality); Google’s project and Tesla’s autopilot functioning feature are two examples that have been in the latest news. The algorithms created by Google could enable self-driving cars driving in the similar ways that humans do by intelligence and experience.

  • Purchase Prediction

This can be utilized in an extensive assortment of ways, whether it’s sending you to offer coupons, providing flat discounts, target promotional advertisements, or managing warehouses to predict what products that you will buy. As you can envisage, this is a quite controversial utilization of AI, and it makes many people worried about latent privacy violations from the exercise of predictive analytics.

  • Fraud Detection

Many banks or financial institutes send emails if they think there is a probability of some fraud on your account may have been done when you make a particular purchase on your credit card. And want to ensure that you commend the purchase before transferring money to the other company. Artificial intelligence is the precise technology deployed to track for this sort of fraud.

What is Machine Learning?

What is ML

Machine learning is an AI application that enables systems the capability to automatically explore, enhance and improve from the different experiences without being plainly programmed. Machine learning centers on the development of intelligent computer programs that can way in data and utilize it to learn from them.

The procedure of learning commences with data and observations, examples such as, straight experience, or an order, to explore for patterns in data and make superior decisions in the future outlook with a base to the examples that we offer. The key aim is to allow the computers learn automatedly without human interference or backing and regulate actions consequently.

Some Machine Learning Methods

Machine learning algorithms are often characterized as supervised and unsupervised.

  • Supervised machine learning algorithms

Supervised machine learning algorithms can be relevant what has been explored in the earlier period to new-fangled data utilizing labeled examples to forecast future events. Commencing from the analysis of a recognized training data set, the learning algorithm generates an inferred function to make a forecast about the needed output values. The system is intelligent enough to offer targets for any new effort after adequate training. The learning algorithm can also measure up to its output with the exact, anticipated output and find mistakes in order to adapt the model for that reason.

  • Unsupervised machine learning algorithms

In disparity, unsupervised machine learning algorithms are utilized when the data or information utilized is not labeled. Unsupervised learning explores how systems can close a function to explain a concealed structure from unlabeled data. The system does not spot or figure out the exact output, but it rediscovers the information and data to draw insights from the available data sets to detail the hidden structures from the data that is actually unlabeled in nature.

  • Semi-supervised machine learning algorithms

Semi-supervised machine learning algorithms can be classified amid supervised and unsupervised learning, as they utilize both labeled and unlabeled data for guidance particularly a smaller amount of labeled data and a larger amount of unlabeled information. The systems that use this semi-supervised methodology are able to get better learning precision noticeably. More often than not, semi-supervised learning is selected when the attained labeled data needs skilled and pertinent resources in order to guide it or learn from it, or else, getting unlabeled data, in broad-spectrum, doesn’t demand added resources.

  • Reinforcement machine learning algorithms

Reinforcement machine learning algorithms is a method that interacts with its surroundings by fabricating actions and determines faults or rewards. Delayed return and Trial & error search are the most applicable features of reinforcement learning.

This methodology facilitates software and machines to automatedly discover the idyllic behavior within a particular context in order to make the most of its performance. Straightforward reward feedback is requisite for the agent to learn which act is most excellent; this is acknowledged as the reinforcement signal.

The Evolution of Machine Learning

The key breakthroughs that led to the appearance of Machine Learning as the medium which is appealing AI development to be self-assured with the positive swiftness it at present have in the different technology based domains and industries.

One of these was the comprehension that to a certain extent than training computers the whole lot – they just need to know about the world and how to execute activities and tasks; it might be probable to educate them to explore for themselves.

The second breakthrough was the emergence of the digital data or information being created, captured and made accessible for analytics.

The third was the most recent which comprised of digital transformation in all the technology-based environments and devices.

Once these modernizations were in place, engineers apprehended that relatively to guiding computers and machines how to do the whole thing, it would be far more competent to code them to think like human beings. These scenarios then plugged them into the online world to offer them admittance to all of the data and information on a global basis.

Neural Networks – Key to ML

Neural Networks In ML

Neural networks are a definite set of algorithms that have transfigured ML. The expansion of neural networks has been essential to guide computers to sense and be aware of the world in the way humans do. This is keeping hold of the inherent benefits they have over us such as swiftness, accurateness and be deficient of any bias.

A Neural Network is a programmed system created to work by categorizing data and information in the similar way a human mind does. It can be taught to be familiar with, for example, diagrams, flowcharts or images, and organize them as per the components they enclose.

Now let’s see the Examples of Machine Learning by Services.

Examples of ML

Banking and financial services

Machine learning can assist banks, insurers, and financial investors make better decisions in diverse areas. This includes the following.

  • Monitor customer and client satisfaction
  • Market analysis and reacting to market trends
  • Measuring and calculating the risk factors
  • Remaining innovative and competitive using smart machines

Personalized health monitoring

Wearable devices have made health tracking a reality. However, machine learning is taking things one step in advance, allocating doctors and relatives to keep an eye on the health of family members. The personalized data fed through intelligent algorithms offers a better understanding of a user profile, empowering healthcare professionals to spot likely irregularities in health early on.

Retail Intelligence

Companies such as Amazon use machine learning technology to provide advanced personalized services.

  • Online advice and recommendations
  • Better service and delivery
  • Make sure of sustained customer satisfaction
  • Monitoring product and price changes

Symbolic AI Vs. Machine Learning

Symbolic AI was the prevailing paradigm in the AI community. Applications of symbolic reasoning are known as knowledge graphs. Google made an immense one, which is what it offers the information in the top box under your question when you search for a bit easy like the capital of Italy. These systems are fundamentally piles of nested if-then statements sketching conclusions about human-readable thoughts and their relations.

One of the major differences between machine learning and conventional symbolic reasoning is where the learning takes place. In machine learning, the algorithm discovers rules between inputs and outputs. However, in symbolic reasoning, the rules are generated by human interventions.

Artificial Intelligence Vs. Machine Learning: Which Is Precise For You?

Both AI and ML can have helpful business applications. To figure out which one is most excellent for your company relies on what are your precise requirements.

These systems have many finest applications to provide, however, ML has got much more exposure lately, so many companies have to focus on it as a key source of solutions. However, AI can also be constructive for many applications that don’t need in progress learning.

Machine Learning has positively been apprehended as an opportunity by the marketers. Subsequent to AI which has been around so extensively, it’s probable that it goes ahead to be seen as rather an “old hat” even before its perspective has ever in fact been attained. There have been many starts along the road to the “AI uprising”, and the terminology ML undoubtedly gives marketers incredibly new and fresh to offer in the marketplaces.

Key Takeaways

The fact that we will in due course develop human-like AI has often been considered as something of predictability by technologists. Certainly, today we are nearer than ever and we are transforming towards that objective with a swift speed. Much of the stirring progress that we have seen in current years is thanks to the elementary changes in how we foresee AI and advanced machine learning.

We hope this blog piece has explained the basic concepts to the people who would understand the disparity amid AI and ML to explore and further apply it in coming time.

If you want to develop an Artificial intelligence or machine learning related solutions then you can inquiry us. We will give you the best possible consultation for your business requirement.

Written By : Technostacks

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