The global IT outsourcing market generated a revenue of $520.74 billion in 2019 and it is expected to surge at a CAGR of 7.7% during the 2020-2027 period. The immense growth of the market is due to the growing popularity of outsourcing software development companies across the globe. 

In fact, in 2018, India dominated the global IT outsourcing market with a 67.0% share and the Indian IT sector generated a revenue of more than $150.0 billion with a CAGR of 10-15.0% per year. 

The majority of small businesses, start-ups, and enterprises are inclined towards IT outsourcing companies for managing and handling their business. There are hundreds and thousands of outsourcing software development companies available on the internet but choosing the top-notch IT outsourcing company is a tough call because you might fall into the wrong trap

So, for that, I am going to shortlist the top 5 software development outsourcing companies in India that not only add value to your business but also help you to expand your business across the globe. 

I am going to prepare a list of parameters that will back the shortlisting of these top 5 IT outsourcing companies in India- 

Blockchain is a decentralized technology that maintains a record of all transactions occurring over a peer-to-peer network. Due to Blockchain's several different high-level use cases, numerous industries described Blockchain as the 'magic beans.' 

Blockchains store the record in a decentralized system that is interconnected. This technology lessens vulnerability and enhances transparency in all industrial sectors as information is stored digitally, and it does not have any centralized point to carry out the transactions.

Do You Know?

In this digital world, people prefer to work remotely. There are numerous tasks that each of us goes through every day. If I talk about an application's usage, then it has been predicted that there will be a 25% increase in global app downloads between 2018 and 2022. 

But it can be quite challenging for organizations to maintain and create multiple passwords. Hence, a password management software can be a great choice to manage this effectively. It is like your bank locker, where one can store numerous passwords. The users only need a master password to access the software.

Do You Know? 

More on robotics.snowcron.com

First of all, this is just an exercise, useful as is, but the result is going to be far from an industrial level robots. Why doing it then?

For the same reasons we do all exercise: to get an experience. After all, when we write a character recognition «MNIST classifier» neural network, we know that the problem is solved long time ago. But we need to become familiar with tools and approaches. Same here.

Now, why is it called «brainless»?

Many of us grew up reading a classic, that was a staple of many home libraries. However, it doesn’t seem to be as prominent as it once was. To understand the ongoing shift in tech coverage, we need to explore its roots.

An operational amplifier has the internal compensation circuit for stability which limits its working bandwidth. Frequency response of the compensated Op Amp has slope of −6 dB/octave or −20 dB/decade. Unity gain frequency defines the bandwidth where the Op Amp is able to amplify a signal. If we multiply the gain and frequency at any point, the result is the same, allowing us to use this parameter to select the appropriate Op Amp. It is called Gain-Bandwidth Product, GBW or GBP. The limited open-loop gain introduces a closed-loop gain and phase error.

But we want to optimize our circuits, right?

An eCommerce platform empowers startups, SMEs, and large enterprises to manage multiple online business processes such as website, marketing, sales, and operations.

The top eCommerce platforms handle online business tasks efficiently, and this finally helps enterprises in expanding their productivity.

This article is for those who want to have a useful, applicable and easy-to-follow manual on writing TOEFL ibt Independent Essay.

Any essay includes 3 parts: Introduction, Body, Conclusion.
But every single part consists of several important segments.

Step # 1 - Introduction
In this part of TOEFL ibt Essay you need to have a look at the essay question or the essay task. You have 3 ways to start your Independent Essay:
1) Paraphrase the question in your own words by using negative or positive prefixes, suffixes as well as synonyms, antonyms and different roots.
2) Replace some adverbs, adjectives and verbs in the initial task question by using some other suitable words.
3) Summarize the question ideas by creating a short, logical, sound and meaningful statement.

Step # 2 - Leading Statement
In this part of TOEFL ibt Essay you need to write down an indispensable idea which will introduce your ideas. Some kind of “step in your area.”
An Independent Writing Part in TOEFL ibt is mostly an Opinion Essay, that’s why you need to quickly create some basic concept which will be the fundamental part of your writing as well as will be some kind of lead-in for your essay.

Step # 3 - Topic Sentence
In this part of TOEFL ibt Essay you need to summarize in 7-10 words the main idea of the first section in your Independent Writing Part.
It must be some relevant and significant concept which will form all of your supporting sentences in the first writing section.

Step # 4 - Supporting Sentence
In this part of TOEFL ibt Essay you need to invent some additional ideas which will support your Leading Statement and Topic Sentence. Remember that all the ideas must be interconnected and closely knit in your text, especially concerning your Topic Sentence. Your supporting sentences must confirm everything you have written in the Topic Sentence and provide the reader with some additional information about your Topic Sentence. Your supporting sentences are your proofs, arguments and reasons which will build up the belief in the reader’s mind that your ideas are rational.

Step # 3 and Step # 4 must be repeated twice or thrice, depending on the number of Argumentative Segments in your essay.

Step # 5 - Connecting Sentences
In this part of TOEFL ibt Essay you need to connect your ideas in-between Introduction, Body and Conclusion. Remember! Your ideas must flow through the text.
For writing any good text you need to know 4 important rules:
1) Relevance: your text must be relevant.
2) Precise: your ideas must be explicit, exact and clear.
3) Readable:
+ your text structure and organisation must be logical;
+ you follow sequential and consequential order;
+ your ideas are sound;
+ your sentences are short enough in order not to miss the point;
+ your text is big enough in order to clearly see the whole picture.

Step # 6 - Conclusion
In this part of TOEFL ibt Essay you need to give an outline of the whole essay, but usually it is just some kind of Introduction Sentence paraphrasing.You can just repeat Step # 1, but including some positive results which will wrap up all of your previous thoughts. 

General Tips of Advice:
Remember about:
! Being Short but Precise
! Being Clear
! Coherence
! Cohesion
! Being Logical
! Providing Enough Details

One more reminder:
! If you do not know the spelling of some word, better do not use it.

Extra Tip:
! One essay should contain not more than 3-4 main Arguments (Argumentative Segments, which equal 3-4 Topic Sentences with 3-4 Supporting Sentences). In other words there should be 1 main idea which includes 3-4 confirming points. These confirming points (Topic Sentences) are supported by the additional information, extra details which you will specify and clarify in your Supporting Sentences.

Sincerely yours, Olga Berelkovskaya.

Author: Sergey Lukyanchikov, Sales Engineer at InterSystems

Challenges of real-time AI/ML computations

We will start from the examples that we faced as Data Science practice at InterSystems:

• A “high-load” customer portal is integrated with an online recommendation system. The plan is to reconfigure promo campaigns at the level of the entire retail network (we will assume that instead of a “flat” promo campaign master there will be used a “segment-tactic” matrix). What will happen to the recommender mechanisms? What will happen to data feeds and updates into the recommender mechanisms (the volume of input data having increased 25000 times)? What will happen to recommendation rule generation setup (the need to reduce 1000 times the recommendation rule filtering threshold due to a thousandfold increase of the volume and “assortment” of the rules generated)?
• An equipment health monitoring system uses “manual” data sample feeds. Now it is connected to a SCADA system that transmits thousands of process parameter readings each second. What will happen to the monitoring system (will it be able to handle equipment health monitoring on a second-by-second basis)? What will happen once the input data receives a new bloc of several hundreds of columns with data sensor readings recently implemented in the SCADA system (will it be necessary, and for how long, to shut down the monitoring system to integrate the new sensor data in the analysis)?
• A complex of AI/ML mechanisms (recommendation, monitoring, forecasting) depend on each other’s results. How many man-hours will it take every month to adapt those AI/ML mechanisms’ functioning to changes in the input data? What is the overall “delay” in supporting business decision making by the AI/ML mechanisms (the refresh frequency of supporting information against the feed frequency of new input data)?

We are proud to announce that we have built from ground up and released our high-quality (i.e. on par with premium Google models) speech-to-text Models for the following languages:

• English;
• German;
• Spanish;

You can find all of our models in our repository together with examples, quality and performance benchmarks. Also we invested some time into making our models as accessible as possible — you can try our examples as well as PyTorch, ONNX, TensorFlow checkpoints. You can also load our model via TorchHub.

Space exploration was always fascinating, and recent developments have reignited the interest to the heights never seen since the last man stood on the Moon. People argue about Mars exploration and features of spaceships as their grandparents would’ve done if the internet existed fifty years ago. I’m an electronics engineer working in the aerospace industry, so I know a thing or two about the technical background of this stuff — and I see that these things aren’t common knowledge, and people often have significantly skewed ideas about the reasons behind many things and decisions. Namely, I’d love to speak of some misconceptions about radiation hardened integrated circuits and the means of protection from radiation-induced damage.

Do you know AI can save us from a worldwide pandemic?

Yeah, it's true. Our global researchers have touted these two buzzing technologies can provide a substantial social benefit to this worldwide health crisis.

Before I begin, I would like to take this moment to say THANK YOU to all our COVID-19 Warriors standing on the frontline and working day and night for us. We can’t thank them enough. Our healthcare staff, police, scientist, security guards, and sweepers. Their contribution is overwhelming and commendable ?

Discovering a drug for any medicine demands the joint efforts of the world's brightest minds. The process is notoriously long, complicated, and expensive. And that's how health experts are involved in searching COVID-19 medicine. In the midst of such a crisis, artificial intelligence solutions are offering a new hope that a cure might appear faster with it.

«Nothing makes you feel stupid quite like reading a scientific journal article» — writes the TV presenter and molecular biologist Adam Ruben. In a way, he's right — many of us get lost in the often confusing language of peer-reviewed papers. But the situation does not have to be hopeless. A bit of effort on the readers' part can go a long way. We looked at the techniques actual scientists use to navigate academic content. And compiled them into this two-part guide (Part 1: Getting Better at Understanding Academic Papers).

«Nothing makes you feel stupid quite like reading a scientific journal article» — writes the TV presenter and molecular biologist Adam Ruben. In a way, he's right — many of us get lost in the often confusing language of peer-reviewed papers. But the situation does not have to be hopeless. A bit of effort on the readers' part can go a long way. We looked at the techniques actual scientists use to navigate academic content.

And compiled them into this two-part guide (part 2).

What do these terms mean? And what is the difference?

Data Science and Artificial Intelligence are creating a lot of buzzes these days. But what do these terms mean? And what is the difference between them?

While the terms Data Science and Artificial Intelligence (AI) comes under the same domain and are inter-connected to each other, they have their specific applications and meaning.

There’s no slowing down the spread of AI and data science. Many big tech giants are extensively investing in these technologies. As per the recent survey, it is estimated that artificial intelligence could add $15.7 trillion to the global economy by 2030.

Through this piece of writing, I will be explaining about the AI and data science concepts and their differences in detail. So, without wasting any more time, let’s get started!

We had ten broken drones in a year, test flights twice a day, three PhDs in the team, a prototype of sushi sticks and a desire to find a way to stop hitting drones.

Very controversial, very unusual, very strange, but it works! At the intersection of architecture, collaborative robotics and unmanned aerial vehicles. 

Introducing: Tensodrone™.



Tensodrone is a multi-rotor UAV of a new design with collision protection, made on the principle of tensegrity. This approach allows for the combination of the protective cage and the airframe in one structure, increasing impact resistance with less weight. The project is a vivid example of the interaction of various teams of the Center for Competences of the National Technology Initiative in the field of «Robotics and Mechatronics» established at the Innopolis University in 2018.

Global Blockchain solutions spending is expected to surpass $15.9 billion in 2023. At the same time, this expenditure was $1.5 billion in 2018. Indeed, this is a huge influx in global spending, which depicts how companies will be investing more in blockchain solutions and blockchain-based mobile apps.

In this group, the major contribution will be seen from industries including finance, banking, healthcare, agriculture, and more. Amidst, outsourcing Blockchain development companies will also gain prominent attention.

If you are thinking about having Blockchain integration within your business solution, you must be having several questions in your mind, such as: what are the benefits of blockchain? Which are the best companies to hire? And more.

It is always good practice to verify a circuit before using.

Switching-Mode Power Supplies are the most used circuits nowadays. But there are some difficulties with verifying their circuits: vendors do not publish models for all controllers; a model can be locked to be used with some tool; there can be errors in a model; average models want correct parameters and you need some practice of using them; transient models take a lot of time to get small-signal response and also can have errors.

Let’s try to verify one circuit using my favorite electronics design tool “Circuit Calculator”.

""

Do you know that 21% of people open an app 50+ times per day? Yes, you heard that right. With the rapid development of technology, the mobile app now made many things possible, which was previously unthinkable.

And that's why there is an incredible increase in the number of mobile users. According to a recent mobile app development stat, the number of mobile users worldwide is projected to increase to 6.95 billion by the end of 2020.

In the last couple of years, the mobile app development industry has grown manifold, changing how businesses function around the world. If you are planning to jump into mobile app development, then choosing the right programming language will be the most significant challenge.

There are more than 600 programming languages, and each one has its own perks and popularity. Are you pondering which language would be best for developing a stunning app?

Several factors come to mind when making this choice, but the most important one is the language's demand. Here in this blog, I have listed the best programming language for mobile apps in terms of popularity and demand. Let's start!

English translation of Philip Ranzim's post at his blog page here. (With author's permission)

Once upon a time, my girlfriend started using Instagram. She asked me to sign up for it and subscribe to it. I tried — I couldn't do it because you couldn't register at Instagram from a desktop computer. I then thought — how weird people are. Well, what kind of fool would make a software product that can't be used with a normal computer? They won't succeed, and this Instagram will be a marginal service for a bunch of strange women, who for some reason don't like desktops.

It has only been a few years, the market has put everything in place — and the biggest fool was me. And the geniuses at Instagram predicted how and where everything would develop. Today, most of the user applications are made primarily for mobile platforms. At best, they include a universal web client, which is still optimized for mobile phones. Because users love iPhones, not computers. Business people sat down, counted, and made a decision — let's make more money, let's have mobile First everywhere.