Tag: Tech

Photoshop

When I mentioned this word there might come two thoughts in your mind according to the height of knowledge you have regarding this topic. The beginners would call it basically a platform used for photo-editing or making posters maybe. But the one who has an ample amount of knowledge in this field would definitely say a lot more amount this. The must sat there are multitudinous virtues whose silhouttes will prove to be a boon for you creativity. I am not considering those who are not interested in this software because if it is so then you must not have opened this article.

So let’s start with an introduction, a basic introduction. So it is a raster graphic editor developed and published by Adobe for Windows and macOS. Now being a beginner, a very obvious question is what does this uncanny word raster mean? Okay,this means That photoshop is based on the pixels. There are two types graphic files:

  • Raster Graphics: These kind of files are based on pixels. You have to design a raster file according to the screen on which it would get displayed. You can’t just design a poster of any size and simply zoom it according to your need because that file will start getting pixelated and ultimately lead to spoil your poster and it’s purpose.
  • Vector Graphics: These kind of files are composed of paths and based on mathematics so they can quickly scale more substantial or smaller. This means you can design on any size then simply zoom-in or zoom-out according to your need.

Please don’t judge the photoshop on this basis it has it own virtues. Adobe Photoshop is a vital resource for artistic practitioners such as programmers, web developers, visual artists, photographers. Photoshop is commonly used for uploading images, retouching, designing image templates, mock-ups of websites and incorporating effects. You can edit digital or scanned images for online or in-print use. Inside Photoshop, website templates can be created; their designs can be finished until the developers move on to the coding level. It is possible to create and export stand-alone graphics for use within other programs.

Now for let’s come to the point hoe can you learn photoshop? Adobe Photoshop can be learnt in several ways. Popular methods include taking Photoshop classes in person, taking Photoshop classes live online, learning through online Photoshop tutorials, and Photoshop books. Classes are designed to help the students benefit from both group learning and one-on-one instruction activities. Classroom learning also has the advantage of using guided instruction to help students overcome challenges or obstacles. Such development programs are especially useful when it comes to introducing new apps or resources. The American Graphics Institute in Cambridge, as well as New York City and Philadelphia, provides Photoshop courses.

You-tube is also a very good source and provide you a lot of content that too for free. And what I would recommend is to practice, practice, and practice because Practice makes permanent. Go for more practice than theory because you will learn more by doing things practically than just reading or knowing about them. You have to get your hands dirty with these, this is the only way to master or at least to learn this I would say.

Hope you find this helpful. Happy learning!

Two types of AI

AI systems should usually show at least any of the following human intelligence-related behaviors: planning, thinking, thought, problem-solving, information interpretation, vision, motion and manipulation, and, to a lesser degree, social intelligence and imagination. AI is pervasive nowadays, used to decide what you’re going to purchase next online, to interpret what you’re thinking to virtual assistants like Amazon’s Alexa and Apple’s Siri, to know who and what’s in a video, to spot spam, or to identify credit card fraud.

At a top standard, artificial intelligence can be categorized into two specific types:

Narrow AI is what we see everywhere today in computers: smart devices that have been trained or studied how to execute certain tasks without being specifically programmed to do so. This form of artificial intelligence is apparent in the speech and language processing of the Siri Virtual Assistant on the Apple iPhone, in the vision-recognition systems on self-driving vehicles, in the recommendation engines that offer items that you would prefer based on what you’ve purchased in the past. Like humans, these programs can only study or be taught how to execute particular functions, which is why they are called restricted AI.

Implementations of Close AI are becoming more popular as deep learning is continuously incorporated into real society. For example, Narrow AI may be used for email spam filtering, music streaming services, and perhaps even autonomous vehicles. Nonetheless, there are questions about the extensive use of Narrow AI in critical network functions. Others claim that the features of Narrow AI make it unstable and that in situations where a neural network can be used to regulate large networks (e.g. power grid, financial trading) substitutes could be much more risk-averseGeneral AI: Current AI development started in the mid-1950s. The first wave of AI pioneers became persuaded that general artificial intelligence was feasible and should emerge in only a few decades. AI visionary Herbert A. Simon wrote in 1965, “Machines should be able to perform whatever job that a man can do within twenty years.”

Artificial General Intelligence (AGI) should be a computer capable of knowing the environment as well as any human person, with much the same ability to know how to execute a wide variety of activities. AGI does not exist, but has been used in science fiction tales for more than a century, and has been popularized in recent days by films such as 2001: A Space Odyssey. AGI’s cinematic depictions differ greatly, but they lean mostly towards the dystopian dream of autonomous robots eradicating or enslaving mankind, as shown in films such as The Matrix or The Terminator. In such stories, AGI is often cast as either indifferent to human suffering or bent upon the destruction of mankind.

Use this intellect to monitor robotics as dexterous and agile at least as an individual will result in a new generation of machines capable of executing any human activity. With time, such bits of intelligence will be able to take over any human role. Initially, humans may be cheaper than robots, or humans operating alongside AI could be more successful on their own than AI. Yet AGI’s arrival will render human labor redundant.

But one thing for sure we shouldn’t let general AI break its constraints and use it only for development, not for destruction.

Edge Computing

Edge computing is a networking concept that seeks to get computation as close to the database as possible to reduce latency and bandwidth utilization. Simply put, edge computing involves running fewer cloud operations and transferring those operations to local sites, such as on a user’s phone, an IoT system, or an edge server. Bringing computation to the edge of the network minimizes the amount of long-distance communication between a client and a server that must occur.

Imagine a safe house with dozens of high-definition IoT video cameras. Those are ‘dumb’ cameras that essentially emit a raw video signal and send it continuously to a cloud server. On the cloud platform, a motion-detection program takes the video output from all the cameras to guarantee that only clips of action are transferred to the file archive. It ensures there is a persistent and substantial burden on the building’s Internet connectivity, as a large amount of video content being transmitted absorbs considerable bandwidth. Besides, there is a very heavy load on the cloud storage which will concurrently process the video footage from all the cameras.

Consider now that the processing for the motion sensor is pushed to the edge of the network. What if each camera used its internal computer to run the application for motion detection, and then submitted footage as needed to the cloud server? That will result in a substantial decrease in the usage of bandwidth, as most of the video footage would never have to move to the cloud server. The cloud service will now only be responsible for maintaining the relevant video, ensuring the system could connect with a greater range of cameras without overloading. And it feels like edge computing.The cost reduction alone will be a catalyst for several businesses to implement an edge-computing architecture. Companies who adopted the cloud for many of their applications may have noticed that bandwidth costs were higher than anticipated.

However, the main advantage of edge computing is potentially the potential to process and store data more efficiently, making for more effective real-time applications that are vital to businesses. A smartphone scanning a person’s face for facial recognition will need to run the facial recognition algorithm via a cloud-based database before edge computing which will take a lot of time to process.

For an edge computing model, considering the capacity of smartphones, the algorithm may be operated locally on an edge server or gateway, or even on the smartphone itself. Applications like virtual and augmented reality smart cities and even construction-automation systems need fast processing.Worldwide, 5 G broadband systems are introduced by networks that offer the advantages of broad speed and reduced latency for devices, enabling businesses to switch from a garden hose to a firehose for their network bandwidth. Instead of merely providing quicker speeds and advising companies to start storing data in the cloud, several providers are focusing on cutting-edge computing approaches in their 5 G implementations to provide quicker real-time processing, especially for mobile devices, connected cars, and self-driving cars.

It’s obvious that while the original aim for edge computing was to minimize IoT system latency costs over long distances, the proliferation of real-time apps needing local processing and storage resources would push the technology forward in the coming years.

So I am concluding this article here. Hope you guys enjoyed this!

Augmented Reality: Welcome to a new ethical minefield

Have you ever thought of living in a world whose reality is very close to the virtual world? Nowadays the developers are trying their hands over this fact and achieved a great success to even blur the line between real and virtual world. There are a lot of examples that use the concept of AR. Now, what is the basic principle of augmented reality?

Its system superimposes the picture of the CG over the user’s vision of the actual world. Unlike virtual reality, where all a user experiences are created by a machine, augmented reality retains the emphasis on the physical world, yet just incorporates features that are not present to improve the user’s experience.

This platform has been seen all around the globe from biomedical technologies to banking and even engineering – oogle is reintroducing Google Glass as a virtual reality device for the workplace. Several creative practitioners are now using virtual technology for their business cards.

If you’ve experienced Pokemon Go’s hubbub, you’ve witnessed increased reality in action. This video game allowed players to experience the world around them from their smartphone cameras while projecting game objects, including on-screen icons, ratings, and ever-famous Pokemon characters, as overlays that made them appear like they were right in your real-life neighborhood.

Google SkyMap is another well established AR device. It overlays details about constellations, planets, and more as you point your smartphone or tablet camera to the stars. Wikitude is an app that searches up information about a landmark or object by simply pointing it out with your mobile device. Would you need help visualizing the latest furniture in your living room? The IKEA Place app will have a new couch overlay for that room before you purchase it, so you can make sure it suits.

A few years back, Disney developed a groundbreaking way for children to display their beloved 3D characters using virtual reality. The development team created technologies utilizing AR to translate animated pictures from a coloring book to 3D renderings via a cell phone or laptop. This device is already in its infancy and has not yet been published to the public, however, this may contribute to a completely different opportunity for children to learn and interact using their imagination.

Since years, Tv News has been utilizing visual effects to enhance the image of the broadcast. Of starters, weathermen have been standing in front of green screens of years, posing as charts for audiences to display their weather predictions. The Weather Network is also pushing it a step forward to demonstrate severe weather and its consequences. In the past two years, the media channel has used artificial reality to view a 3D earthquake, demonstrate the height of the flooding during storm waves and hurricanes, and even driven a simulated car around the studio to illustrate how cars lose the power of snowy or frozen highways

Not all of the representations of virtual reality are fun and games. The United States Army is working with virtual reality systems to be deployed in the battle that can allow troops to differentiate between hostile and neutral forces, as well as to enhance night vision. This system is still in production and could be years away from implementation, but military leaders claim that this breakthrough will boost battle effectiveness and help to save lives.

Here, I’ve been trying to grasp the applications and possibilities of AR. This area is still growing rapidly and worth spending on time and energy.

Hope you guys find the piece interesting

Document Object Model(DOM)

When it comes to design a site or a web page it plays a very important role, basically here we are talking about HTML DOM, with the help of this the javascript can interact with the HTML code and can find or change any element of HTML code. Let’s try to make it simpler, whenever any web page loads it creates a document object model, it has a tree-like structure and have nodes, every node has one parent and probably many children.

The Document Object Model (DOM) is the HTML and XML application development API. This determines the basic framework of the records and how the paper is obtained and exploited. The Document Object Model may be used in any programming language.

THE HTML DOM TREE OF OBJECTS

Java Script can change all the existing HTML elements and attributes of a page, all the CSS styles of the page and you can even add new ones. the HTML DOM is the standard of how to get, change, add, or delete HTML elements.

DOM and JavaScript

The DOM is not a programming language, but without it, the JavaScript language will have no concept or notion of web pages, HTML documents, XML documents, and their components ( e.g. elements). Each document element — the document as a whole, the heading, the column tables, the table headers, the text in the table cells — is part of the database object model for that column, so that they can all be accessed and controlled using the DOM and the JavaScript scripting language.

In the beginning, JavaScript and DOM were closely intertwined, but eventually, they evolved into separate entities. The output of the website is stored in the DOM and can be accessed and manipulated using JavaScript so that we can write this approximate equation:

API = DOM and JavaScript

The DOM was developed to be independent of any common programming language, allowing the conceptual representation of the text accessible from a single, coherent API. While we concentrate solely on JavaScript in this reference paper, DOM implementations can be designed for any language.

Accessing the DOM

You don’t have to do something different to continue using the DOM. Different browsers have different DOM implementations, and these implementations show varying degrees of compliance with the actual DOM standard (the subject we are trying to avoid in this documentation), but each web browser uses a document object model to make web pages accessible via JavaScript.

When you create a script–whether it’s inline in an <script> element or included in the web page through a script loading instruction–you can immediately begin using the API for the document or window elements to manipulate the document itself or to get at the children of that document, which are the various elements in the web page. As this is not a topic that can be covered at once.

So here I am concluding this. Hope you guys enjoy reading this!

Internet of Things(IoT)

The Internet of Things, or IoT, is a collection of interrelated computing systems, mechanical and digital computers, objects, animals, or individuals with unique identifiers (UIDs) and the ability to transmit data over a network without the need for human-to-human or human-to-computer interaction.

A device in the internet of things can be a human with a heart monitor implant, a farm animal with a biochip transponder, a vehicle that has built-in sensors that warn the driver when tire pressure is small or some other normal or man-made entity that can be given an Internet Protocol ( IP ) address that is capable of sending data over a network.

The IoT ecosystem consists of web-enabled smart devices that utilize embedded technologies, such as processors, sensors, and communication equipment, to capture, communicate, and respond to the data they obtain from their environments. IoT devices exchange sensor data obtained by linking to an IoT gateway or other edge node where data is either transmitted to the cloud to be processed or analyzed locally. Often, these devices interact with other similar devices and operate on the input they receive from each other. Devices do much of the work without human interference, but humans can communicate with the devices — for example, to set them up, send them directions, or access the data.

Now, a very important question of why we need IoT?

The Internet of Things allows people to live and function better and to have full influence on their lives. In addition to providing smart devices for home control, IoT is important for the enterprise. IoT offers businesses with a real-time glimpse into how their processes operate, offering visibility into everything from computer efficiency to supply chain and distribution activities.

IoT helps businesses to simplify operations and high labor costs. It also eliminates duplication and increases service quality, allowing it easier to produce and distribute products while ensuring consistency in consumer purchases.

Advantages of IoT

Some of the benefits of IoT are as follows:

  • Ability to view details from anywhere on any computer at any time;
  • Improved contact between linked electronic devices;
  • Pass data packets over the wired network saving time and money;
  • Automation of activities that can increase the efficiency of business services and the need for human interaction.

Disadvantages of IoT

  • If the amount of connected devices grows and more knowledge is exchanged between devices, the ability for hackers to access sensitive information is also growing.
  • Enterprises may potentially have to contend with large numbers — maybe even millions — of IoT devices, so gathering so handling data from all such devices would be difficult.
  • If there is a flaw in the network, it is possible that any linked computer would be compromised.
  • Because there is no universal IoT interface standard, it is challenging for products from various vendors to connect.

IoT benefits to organizations

The Internet of Things provides a range of opportunities to organizations. Many of the advantages are industry-specific, and others are common across various sectors. Some of the common benefits of IoT allow companies to:

  • Monitoring their total company processes;
  • Improving customer engagement (CX);
  • Save time and your money;
  • Enhance the efficiency of employees;
  • Integrate and change operating models;
  • Make sound company decisions;
  • Generate further money.

Here I’m concluding this. Hope you guys enjoy reading!

Robotics Process Automation

According to Chris Huff, chief strategy officer at Kofax- “RPA is software that automates rules-based actions performed on a computer.” It is an advanced technology where the machine records a specific task done by human and then perform the same task whenever required without any human intervention.

Every RPA system must include the three capabilities stated below:

  • Communicating with the other systems in either way screen scrapping or API integration.
  • Decision Making
  • Interface for bot programming.

One of the most amazing things about this is that it doesn’t need any prior coding knowledge, in fact neither this requires the development of code, nor it does require direct access to the code or database of any application. So, do not have to worry if you don’t know how to code or if in case you don’t like to code much, you can still learn this.

Robotic Process Automation (RPA) is the use of computer software ‘robots’ to perform routine, rule-based automated activities such as filling in the same information in various locations, downloading data, or copying and pasting.

RPA operates by collecting knowledge from current IT systems. There are several ways RPA software can work with the applications. One choice is to connect to databases and corporate network resources in the backend. Another is via front end or laptop interfaces, which have several types.

What is the safest way? It depends on the organization and the needs that the solution must tackle. With backend networking, automation can reach applications and resources under the power of a process automation server. This is most widely used for unattended automation, where the automated robots handle back-office functions such as reviewing insurance claims on a scale.

Types of RPA: 

  • Attended Automation: This requires human intervention while performing any task assigned.
  • Unattended Automation: This tool doesn’t require any human intervention while performing any task they are designed to have decision-making capabilities.
  • Hybrid RPA: This has the combined capabilities of both attended and unattended Automation.

Now, are RPA and any desktop application the same? And the answer is no, and the difference will be identified with their decision-making capability. Some general functions of RPA include

  • Opening different applications like emails, moving files, etc.
  • Integration with the existing tools.
  • Collecting data from different web portals.
  • Processing data which includes calculations, data extraction, etc.

Tools for RPA:

  • Blue Prism
  • Uipath
  • Automation Anywhere
  • Pega
  • Contextor
  • Nice Items

Ten years is a long time to forecast and RPA is a fairly young and developing market. Yet RPA has certainly proved it’s worth and will continue to expand rapidly. With these development tools, RPA deployment is becoming more of an area for creators of mobile robots, not just for casual business users. The RPA career is considered to be very successful. Emerging students should comfortably predict a substantial share of job opportunities in the country. Pay packages for specialists with skill sets in this area are often comparatively higher compared to other fields.

Industries that use RPA:

  • BPO.
  • Finance & Banking.
  • Insurance.
  • Healthcare.
  • Telecom.
  • Manufacturing.
  • Public Sector.
  • Retail & CPG.

Resources to learn RPA:

  • UiPath Academy. No learning cost its free for everyone, Complete UiPath RPA Developer Course.
  • Udemy. Complete UiPath RPA Developer Course.
  • Edureka!
  • IntelliPaat.
  • EpsilonAI Academy.

Hope you guys enjoyed this. Happy learning!

Emotion Recognition

Have you ever thought of any sort of interaction with any machine through emotion recognition? Yes, this is the area of the science which many want to uncover but still not able to encompass. With the constant advancement of Automated Emotion Evaluation(AEE), the emotion recognition technologies are trying to establish itself in the market. As we have a lot of advance technologies with us to make everything so easier and are still keen as mustard for more. This technology will definitely prove a boon for all of us.

Emotion recognition is a technique used in software that helps a computer to “sense” emotions on a human face through advanced image processing. Companies have been experimenting with integrating advanced algorithms with image processing techniques that have evolved in the last ten years to learn more about what the picture or video of a person’s face tells us about how he / she feels, and not only that, but also the possibility of mixed emotions a face may have.

AEE still influence a lot of great fields which are constantly developing like robotics, entertainment, education, and marketing.

  • in entertainment industries: to propose the most appropriate entertainment for the target audience
  • in education: used for improving learning processes, knowledge transfer, and perception methodologies
  • in marketing: to create specialized adverts, based on the emotional state of the potential customer
  • in robotics: to design smart collaborative or service robots which can interact with humans 

The literature presented in science attempts to classify the emotions, feelings, and set boundaries between emotions, mood, and their affects. According to the classifications done the definitions of some terms are:

  • “emotion” is a response of the organism to a particular stimulus (person, situation or event). Usually it is an intense, short duration experience and the person is typically well aware of it;
  • “affect” is a result of the effect caused by emotion and includes their dynamic interaction;
  • “feeling” is always experienced in relation to a particular object of which the person is aware; its duration depends on the length of time that the representation of the object remains active in the person’s mind;
  • “mood” tends to be subtler, longer lasting, less intensive, more in the background, but it can affect affective state of a person to positive or negative direction

The thesis also analyzes the concept of humanizing the Internet of Things and affective computing systems that have been validated by the systems developed by the authors of this analysis.Intelligent computers with human compassion are likely to make the planet a better place. The IoT sector is certainly moving ahead in recognizing human emotions thanks to advances in human emotion recognition (sensors and methods), computer vision, voice recognition, deep learning, and related technologies.

According to Stefan Winkler, CEO and Co-Founder of Opsis, the approach of his business is unique in that it provides fine-grained calculations in two dimensions: valence (positive vs. negative emotions) and anticipation (energy vs. passive expressions). This allows the machine to consider more emotions than the seven main ones – optimistic, sad, pleased, shocked, frightened, frustrated, and disgusted – in competing solutions.

Winkler noted that the understanding of feelings would only improve and improve the approval of consumers. “There have been several studies, such as Markets and Markets, that forecast that the Emotion Detection and Recognition Market will rise from US$ 6.72 billion in 2016 to US$ 36.07 billion by 2021, at a compound annual growth rate ( CAGR) of 39.9% between 2016 and 2021. Any recent high-profile acquisitions demonstrate the tremendous scope and increasing need for approaches for emotional identification. With all this high-profile takeover, A.I. is revealing. It’s set to grow, and these technologies are very much sorted out, “he said. “Our customers have been very receptive to this new avenue of recognition and understanding of the emotions of our customers.

Our clients, such as SP / SI, have shown interest in integrating feelings for a successful strategy and visualizing how consumers respond to their marketing strategies. OEM / SDK vendors are involved in integrating smart nation programs into their security approach. They expect that emotional awareness has a great potential to be incorporated in IoTs and Smart Nation for monitoring, wearable and end-sensing tools.

Machine learning: How to learn

Let’s assume that computers can learn something new without explicitly programmed or without any human interference. Isn’t this sound interesting? So, let’s talk about how this could be possible. This is where the concept of machine learning comes into the frame.

It is the application of Artificial Intelligence(AI) which gives computers the ability to learn itself by data stored, observations made, and examples. The computer gets the idea of how to react by using this data. Machine learning aims to make computers more self-dependent so that they can learn themselves.

Now what you have to learn to make your computer smart enough to learn itself.so, the top 10 languages for machine learning are

  • Python
  • c++
  • Java
  • Java Script
  • C#
  • R
  • Julia
  • Go
  • TypeScript
  • Scala

ML is a growing area of AI and there are a lot of languages which support the ML libraries and frameworks, but still, python is one of the most chosen and learned language for ML followed by C++, Java, and others.

This is all about which language you should use or prefer to learn for this purpose. Now if you are a beginner then one of the most important questions is how to learn this concept? You don’t have to pay a large sum of money for this, it’s is not mandatory that you have to have a good and prior knowledge of any above-mentioned programming language. You can simply learn them anytime so if you are a fresher and an enthusiast of learning ML, let’s begin.

First of all, don’t confuse this with data science, AI, predictive analysis, etc. although many concepts may overlap they are not the same.

And trust me guys the self-starter way of learning this is doing this. The companies don’t care about the proofs all they want to know how you can turn their data into gold. So instead of spending a lot of time in textbooks and theory and ultimately get frustrated and start considering this a very hard to learn the topic. Start switching between theory and practical, make projects, do experiments. You will surely have more fun and have something good for presenting on your portfolio.

In a nutshell, the self-starter way is better, practical, and faster.

The four steps to learn machine learning are:

  • Prerequisites -Build a foundation of statistics, programming, and a bit of math.
  • Sponge mode-Immerse yourself in the essential theory behind ML.
  • Targeted Practice-Use ML packages to practice the 9 essential topics.
  • ML projects-Dive deeper into interesting domains with larger projects.

You should definitely forge these aspects to start your learning journey but here it is just a brief way of how to learn and from where so I have not encompassed these topics as a whole here but once you start exploring you would surely get to know about them.

Now being a beginner it’s very easy to distract from your goals and you might think to drop the idea to learn in this lockdown so the tip which I would like to share is to nip the idea of giving up in the bud and be keen as mustard to explore this.

Please learn to walk before you run. Try to get focused on the core concepts first so don’t get fascinated by the advanced concepts. The advanced topics will get much easier to learn once you master the core ones.

Seek different perspectives. The way a statistician explains an algorithm will be different from the way a computer scientist explains it. Seek different explanations of the same topic.

And the most important try to alternate between practice and theory. And Don’t believe the hype. Machine learning is not what the movies portray as artificial intelligence. It’s a powerful tool, but you should approach problems with rationality and an open mind. ML should just be one tool in your arsenal!

Here is a rundown of some resources from where you can learn ML:

  • CS50’s Introduction to Artificial Intelligence with Python.
  • Python programming tutorials by Socratica.
  • Google’s machine learning crash course. 
  • ML and Big Data Analytics course. 
  • Machine learning course from Stanford.
  • Elements of AI. 
  • Machine learning with Python

So, all the best for your learning journey guys. Hope you guys enjoyed it!

The Vast IT Sector with great job opportunities.

The most basic information technology definition is that it’s the application of technology to solve business or organizational problems on a broad scale. No matter the role, a member of an IT department works with others to solve technology problems, both big and small.
Simply put, the work of most organizations would slow to a crawl without functioning IT systems. You’d be hard-pressed to find a business that doesn’t at least partially rely on computers and the networks that connect them. Maintaining a standard level of service, security and connectivity is a huge task, but it’s not the only priority or potential challenge on their plates.
More and more companies want to implement more intuitive and sophisticated solutions. IT can provide the edge a company needs to outsmart, outpace and out-deliver competitors
Information technology is the study, design, development, implementation, support or management of computer-based information systems—particularly software applications and computer hardware. IT workers help ensure that computers work well for people.
Nearly every company, from a software design firm, to the biggest manufacturer, to the smallest “mom & pop” store, needs information technology workers to keep their businesses running smoothly, according to industry experts.
Following are the job Opportunities in the field of IT

  1. Development of software using various computer languages and programming.
  2. Hardware support and programming, maintenance of hardware to support the developers and project managers is a more challenging and more important job for the IT professionals.
  3. Developing new sites, networking and testing are the booming career paths in IT.
  4. Providing database support, Database administration, backup of the data, these all come under database management which is also the backbone of the company’s IT.
  5. Developing video games, making animation videos, computer graphics designing and other user interactive technologies have a lot of new opportunities.
  6. Creating and maintaining anti-virus and anti-hacking software, the creation of firewalls for networking security, creating the software to arrest cyber crimes and providing cybersecurity is a booming career path for aspirants to want to work in IT sector.
  7. Software Testing is also a very high fetching career path because any new software has to be tested vigorously as the development of software involves a lot of expenditure and company cannot afford to use software which has bugs

The heart of Nintendo’s new console isn’t the Switch


A wonderful serenity has taken possession of my entire soul, like these sweet mornings of spring which I enjoy with my whole heart.

I am so happy, my dear friend, so absorbed in the exquisite sense of mere tranquil existence, that I neglect my talents.

I am alone, and feel the charm of existence in this spot, which was created for the bliss of souls like mine. I am so happy, my dear friend, so absorbed in the exquisite sense of mere tranquil existence, that I neglect my talents.

I should be incapable of drawing a single stroke at the present moment; and yet I feel that I never was a greater artist than now.

When, while the lovely valley teems with vapour around me, and the meridian sun strikes the upper surface of the impenetrable foliage of my trees, and but a few stray gleams steal into the inner sanctuary, I throw myself down among the tall grass by the trickling stream; and, as I lie close to the earth, a thousand unknown plants are noticed by me: when I hear the buzz of the little world among the stalks, and grow familiar with the countless indescribable forms of the insects and flies, then I feel the presence of the Almighty, who formed us in his own image, and the breath of that universal love which bears and sustains us, as it floats around us in an eternity of bliss; and then, my friend, when darkness overspreads my eyes, and heaven and earth seem to dwell in my soul and absorb its power, like the form of a beloved mistress, then I often think with longing, Oh, would I could describe these conceptions, could impress upon paper all that is living so full and warm within me, that it might be the mirror of my soul, as my soul is the mirror of the infinite God!

O my friend — but it is too much for my strength — I sink under the weight of the splendour of these visions! A wonderful serenity has taken possession of my entire soul, like these sweet mornings of spring which I enjoy with my whole heart. I am alone, and feel the charm of existence in this spot, which was created for the bliss of souls like mine.Paragraph

I am so happy, my dear friend, so absorbed in the exquisite sense of mere tranquil existence, that I neglect my talents. I should be incapable of drawing a single stroke at the present moment; and yet I feel that I never was a greater artist than now. When, while the lovely valley teems with vapour around me, and the meridian sun strikes the upper surface of the impenetrable foliage of my trees, and but a few stray gleams steal into the inner sanctuary, I throw myself down among the tall grass by the trickling stream; and, as I lie close to the earth, a thousand unknown plants are noticed by me: when I hear the buzz of the little world among the stalks, and grow familiar with the countless indescribable forms of the insects and