Tag: AI software development

7 AI Programming Languages To Choose From

Artificial intelligence hasn’t developed its own language yet, but even with using existing programming languages humanity has achieved great results. Just recollect the 2015 breakthrough of AlphaGo. It was the first time when a machine managed to beat a human being in the most difficult board game Go, which demands a high level of abstract thinking.
Let’s have a closer look at means that make artificial intelligence real.


Homepage: https://www.python.org/
Initial release: 1991, latest release: 2017
OS: cross-platform

Python takes the first place in the list of AI development languages due to its simple and seamless structure. Simple syntax and rich text processing tool allowed it to become a perfect solution for NLP problems. Programmers can build neural networks in Python, and machine learning with Python is also much easier.

- short development time (as compared to Lips, Java or C++);
- large variety of libraries;
- high level sytax;
- supposrts object-oriented, functional and procedural styles of programming;
- good for testing algorithms without implementing them.



Homepage: https://isocpp.org/
Initial release: 1983, latest release: 2104
Influenced: Java, Python

The major advantage of C++ for AI is its speed, and one can find C++ among the fastest programming languages in the world. Since AI development demands lots of calculation fast-running programs are of ultimate importance. C++ is highly recommended for machine learning and neural network building.

-high level of abstraction;
- good for high performance;
- organize data according to object oriented pricniples;
- STL collection.



Homepage: http://lisp-lang.org/
Initial release: 1959
Influenced: Python

Lisp, being the second oldest programming language in the world (after Fortran), still holds a top position in AI creating due to its unique features. For example, Lisp has a special macro system which makes possible to develop a domain specific level of abstraction and build the next level on it. Lisp in artificial intelligence development is known for its unique flexibility as it adapts to the problem you need to solve on the contrary to the other languages that are chosen because they can complete this or that task. Developers opt for Lisp in machine learning and inductive logic projects.

- fast prototyping capabilities;
-support for symbolic expressions;
- automatic garbage collection which actually was invented for the Lisp language;
- library of connection types including dynamically-sized lists and hastables;
- efficient coding due to compilers;
- interactive evaluation of components and recompilation of files while the program is running.



Initial release: 1972
Influenced: Mercury, XSB
Dialects: Edinburgh Prolog, ISO Prolog

The name of Prolog speaks for itself; it’s one of the oldest logic programming languages. If we compare it with other languages, we can see it is declarative. It means that the logic of any program will be ...

8 Innovative AI, IoT and Big Data Technologies Made in Ukraine

The interest of international community to IoT devices inspired us to cover more innovations made in Ukraine. We collected the most impressive software and hardware samples that make our lives easier. Enjoy discovering Ukrainian tech world!





Ukrainian entrepreneur Oleksiy Vynohradov and cardiologist Dmytro Fedkov have been working on mobile cardiography technology for more than 5 years. Recently they have presented a smart T-shirt HeartIn that does electrocardiogram in real time.
Together with a mobile app it helps to make sport exercises more effective and monitor cardiac abnormalities. Their ultimate goal is to provide early heart disease detection.
But people aren’t eager to buy a T-shirt for diagnostics only. That’s how an idea came to their minds - inventors presented a beautiful and convenient app that measures pulse and heart variability rates accurately, sends reports on workout results and, additionally, performs diagnosis.

Vynohradov says that consumer trackers for checking heart rate show rather imprecise data with accuracy rate varying from 40 to 60%. That’s why these devices suggest you wrong exercises for a workout. On the other hand, HeartIn accuracy is 99%.

Now the T-shirt is undergoing certification process, and the company expects to get all the documents by the end of the year. On the current stage you cannot fully rely on their arrhythmia diagnosis service, only use it as recommendations; but after certification the result you get will be considered as an official diagnosis. The entrepreneur predicts that insurance will even cover the sum of money spent on the T-shirt.





Ukrainian developers from RND64 company created an interesting gadget for smart kitchen, HelloEgg. It’s a kitchen voice assistant providing “first cook aid” in real time. The egg-shaped device has a display on the top for watching step-by-step video recipes. It even can talk to you and hold a conversation due to build-in AI technology.

Voice commands are absolutely enough to control a device, though it is still partially controlled by support team when AI cannot process a command properly. If you feel bored just talk to a cute HelloEgg and it will not only respond to you but also express emotions by twinkling its single eye ;)

HelloEgg can entertain you with songs from Spotify or other music services, news, weather forecast and so on. Of course, timers are a must-have for such device - they will prevent you from burning dishes.

“We conducted a research and it appeared that a person spends on cooking about 400 hours, or 3 years. We understood that modern kitchen assistant shouldn’t limit itself only to voice commands and music streaming, it should have option of streaming video, live customer support and many others”, explains Dmytro Shemet, CEO of RND64 company.

Interactive Restaurant Technology




Kodisoft founder Dmytro ...

100+ Best Tech Blogs to Follow: Latest Technology News and Projects

Top IT News Blogs

This collection of resources will be interesting for those who want to keep up with latest news in technology sphere. They cover everything starting from reviews on the newest gadgets to Virtual Reality issues.


1. Wanna know the latest news about Google Cloud? That’s the right place to visit https://blog.google/topics/google-cloud/.

2. For 13 years this website highlights the trends and tendencies in technology, game and entertainment industries. Looking for new gadgets? Read reviews on mobiles, computers, cameras and many other things https://www.engadget.com/.

3. The world famous collection of information about startups and all the possible events for them. Our personal choice is interview section with influencers shaping the minds of young IT generation https://techcrunch.com/.

4. Tech overview from every corner of the world - Asia, Australia, UK, etc. Btw, not only tech is covered here but also news on marketing, business, social media and lots of other interesting stuff http://mashable.com/tech/.

5. A must-visit website for every tech-savvy person. Starting from mobile and web development and up to security issues can be found here https://dzone.com/.

6. This website is worth visiting if you want to know more about Virtual Reality, iPhone or Android apps or mobile games. Feel like discussing the news? Participate in The Verge Forum then! https://www.theverge.com/tech.

7. InfoQueue has more narrow specialization in comparison with previously mentioned resources. Testing and Project Management, Data Analytics and Machine Learning, Web Design and App Development… It fulfils all your needs in software development-related information https://www.infoq.com/.

8. Ars longa, vita brevis? Hurry up to enrich your knowledge of IT business and familiarize with scientific approach to technologies with Ars Technica https://arstechnica.com/.

9. Collection of device reviews and the freshest stories about computing, games and smart homes for trendy people https://www.digitaltrends.com/.

10. A cherry on the top of this section. From mobile to PC, TechRadar covers all gadgets to reveal their secret properties http://www.techradar.com/.



Top Web Design Blogs

Interested in HTML, CSS and latest web design trends? Or maybe you look for some freebies? Have a look at this ultimate collection of web design blogs then.


1. Full of infographics and free resources, this site will tell you not only the secrets of web design but also will introduce you to the basics of landing page optimization and provide the brightest examples of marketing solutions https://unbounce.com/blog/.

2. Web design paradize. Searching for fonts or icons? Need info about UI or simply a flash of inspiration? You’ll get it here https://webdesignledger.com/.

3. Almost 20 year history of A List Apart make their advice priceless. The website brings together the best web design and web development practices and solutions https://alistapart.com/.

4. ...

Research On Artificial Intelligence Companies and Job Market In Ukraine

Recent data suggests that there are over 90,000 IT professionals in Ukraine (including 50,000 Ukrainian developers) — an impressive number which puts the country way ahead of the rest of Europe in terms of tech talent.

Let’s compare two pools of programmers in Ukraine: there are 800+ available CVs of iOS developers while the quantity of AI experts about 8 (!) times lower.

Rumors have it that smart machines will reduce the need for software developer but our market research on Artificial Intelligence proves the opposite – the demand is only growing.

If you visit forums you’ll find people complaining it’s almost impossible to hire an AI developer for a reasonable price, actually even if you’re ready to pay big money you have a big chance of facing the problem of inexperienced newbies with no implemented projects and, in fact, no equipment to implement it. Some experts even recommend to address to development institutes to look for an employee there. For you to understand, what hiring process is here John Rampton's experience with looking for a programmer, "There are a lot of programmers out there, so how can you be certain you’ve found the best? When 2014 transitioned to 2015, I spent an entire quarter searching for the ultimate programmer. I posted ads everywhere, spending up to $6,000 in this search." Though he didn't specify what kind of developer he needed, you can get the idea how money and time-consuming the search is.

Speaking about Ukrainian AI market in particular, the research shows that the last 3 years were prolific for the industry. AI and machine learning technologies are used by such Ukrainian companies like world-known Grammarly that created a writing app for correcting mistakes or Scorto, a risk management solutions provider. We’ve counted about 50 that were successfully carried out here which proves the high level of expertise of the local AI developers.

Qubit Labs offers you an easier solution for picking the right candidate for your project. Generally speaking, all you need is to send us a job description, and in a month you get your AI team working on your task with all the necessary tools for development, communication and management. Have a look at our AI research and read a detailed description of hiring procedure with Qubit Labs.

Artificial Intelligence: Why the Future Is Happening Now

Being quite a synonym to the “future”, Artificial Intelligence has been captivating our minds since 1950s. Not only it is a hot topic among tech-savvy guys, but it also leaked to various science fiction books and movies raising the interest of the whole humanity.

What Is Artificial Intelligence

So, what is Artificial Intelligence exactly? In a nutshell, AI is a branch of computer sciences aimed at developing computers that are able to perform like people, including, for example, an ability to recognize speech and solve problems. This involves autopilots driving a car or handling an airplane, virtual assistants helping us to find a restaurant for dinner, or even robots able to explore the Mars without putting human at high risk.

Considering potential of the AI technology, no wonder that more and more businesses are implementing it into their products and services. The estimations are very promising, and IDC reports that the AI market is about to grow from $8 billion (2016) to over $47 billion (2020).

Applications of Artificial Intelligence

You have probably seen at least one movie where there is a danger of robots killing human race. While this is obviously a fiction, you cannot deny that AI has already penetrated to our everyday lives. What’s more, it is helping people and businesses to make it all smarter and easier. Thus, if you have an iPhone, then Siri is your pocket AI. Google Now is also a helping hand for many users. Amazon or Spotify recommendation engines have been created using AI programming as well.

There is literally no field where this technology cannot be implemented. Financial institutions apply AI for transaction monitoring, bookkeeping, and managing properties. There is also useful software for personal finance purposes. For example, Wallet.AI claims to build intelligent engine that help people to make smarter financial decisions. Robots are common in heavy industries, occupying positions that can be risky for humans. Health industry is highly interested in AI, as this technology could help to solve problems for people with limited senses. Marketing industry is aiming to automate the writing based on a large amount of data. Thus, Yseop claims that their artificial intelligence software allows to create thousands of content pages per second, as if they were written by human.

No matter how genius AI may seem, its applications are created by no one else, but talented developers. And artificial intelligence programming is itself even more complicated and, at the same time, fascinating.

Development Side of AI

There is a plenty of AI programming languages that developers can choose, among them specialized languages like AIML, IPL, Smalltalk, Haskell, Wolfram, as well as more common ones, such as Python, Java and C++. Some of them are used for general AI development, while others are used for specific AI technologies. If we take Java AI programming, it is mostly used for machine learning, sensor networks and multi-robot systems. And Python is common for natural language and text processing.

Of course, ...

How We Put Our Team Under Artificial Intelligence Control

The teammates told us how they placed one of the project teams under the management of Artificial Intelligence and how it is to work being controlled by a machine...

The machine learning team has been thinking of introducing the Artificial Intelligence (hereafter ‘AI’) into our team’s workflow for a year. The experiment was in getting the AI into development of our internal project, with a deadline set to 30 days. For the sake of experiment, the company’s management decided to send our Project Manager to our second office in Vilnius, to do some other tasks.

Just so that you can understand, the neural network for our office is an AI, capable of structuring the teammates’ work, helping with decisions on bonus offers, task transfers, closed tasks and smoking out free-loaders. Put simply, this month the neural network is our PM.

AI has been connected to our task management system. We have digitized a vast amount of data for it, such as: teammates’ check-in and check-out times, database of colleagues and their wages, company’s accountancy, task assignment system. Those who’d like to work out of scope will get a wage bonus at the end of the month.

“AI surpasses human in all logical games. Probably, it can surpass us in ‘management games’ as well. Our machine learning team’s task was to develop an AI capable of enhancing the team’s efficiency. When we answer our colleagues’ questions, we often compare our system to AlphaGo, creators of which do not know how it makes decisions on its own. In terms of input, the machine receives a large amount of data, where it sees hidden consistencies. Neural network simply finds an individual management approach to everyone, but which one — even creators don’t know,” comments Vladimir Kliuenkov, machine learning team PM comments.

Probably, a neural network isn’t necessary for our team of 30. But if you think about a company with thousands of employees, every percent of efficiency matters, and it is possible to achieve with the help of a machine only.

There are four of us in the project: Misha and me are coding using Python. Vitaly is a JavaScript front-end developer. Pavel develops Android apps, and Dasha is our outstanding designer.

I’m 20 years old. My name is Mark. I’ve been into new technologies for my whole life. I study physics in Moscow Institute of Physics and Technology (MIPT) and have already been working as a Python developer for a few months. AI has become a special part of my interest. While reading Asimov, watching Matrix and Terminator 2, I didn’t expect to see the time when I will meet AI in my job.

Day 1

AI was connected to our task tracker, Youtrack. Neural network has computed maximum outcome for each teammate and spreaded tasks between us.

Vitaly started to receive tasks for application development with React Native (cross-platform development framework), after two years of concentrating on front-end development with JavaScript. Vitaly has worked on his ...

Top 18 Tech Events You Must Visit in Spring 2017

Qubit Labs Celebrates Spring!

Spring has come and made our IT hearts beat faster. We want to spread our love for what we do, to learn, to meet new people, and celebrate innovation! The tech world is awakening from winter sleep, there are more and more inspiring events for tech lovers. Qubit Labs has planned a very eventful spring to find new inspiration and ideas. So what is on our agenda?


March alone has so much to offer! While you’re in London, check out Big Data World (March 15-16), an event that will help you contextualise, understand and employ data to your advantage. Secure your free tickets to see 80 industry speakers, 40 case studies & over 40 exhibitors. Moreover, the ticket to Big Data World London includes free access to the 4 co-located events.
Also on the list is Germany’s #1 global event for digital business CEBIT (March 20-24). Current top trends at CEBIT include AI, Cloud technologies, cyber security, drones, IoT, virtual reality and 5G. The amount of speakers in astonishing! Different types are available for purchase on the website; pupils, students and apprentices pay reduced admission.
The Machine Intelligence Summit (March 23-24) in San Francisco has sold out Early Bird tickets, but you can still get a Standard Pass or a Startup/Academic Pass. Representatives from Uber, Airbnb, Amazon, Reddit, etc., are already scheduled to speak, but many more are to be added to the list.
Two most exciting March events that we are definitely attending are:

  • Tech Startup Jobs Fair New York 2017 (March 2) is the main meeting point for startups and talents. Get your free ticket, connect with startups, apply for Jobs using the official new TechStartupJobs App.
  • Startup Safary Paris (March 16-17) is an amazing event that gives exclusive access to the offices of the best startups and tech companies of Paris. Go and get your tickets! At Startup Safary, they are intent based. You choose a ticket depending on what you’re looking for. You can also apply to be a volunteer. Btw, our representative will be happy to meet with you there!


NAB SHOW in Las Vegas (April 22 - 27) is the ultimate attraction, and world's largest event for global visionaries focused on the intersection of technology, media, and entertainment. The NAB Show Program is expected to be finalized by mid-February, so stay tuned. The flash sale (Free exhibits pass! Save $100 on a Conference Flex Pass!) ends on March 5!
FITC Toronto (April 23-25) is another exciting event on the North American soil and stands for the Future of Innovation, Technology and Creativity. Check out the impressive list of speakers and get yourself Early Bird tickets that are available until March 19. Our personal top picks for April:

What’s the difference between Machine Learning and Artificial Intelligence?

Machine Learning same as Artificial Intelligence?

The 21st century brings us more and more mind-blowing technology every day. And even though the notions of Machine Learning and Artificial Intelligence have been for a while now, it’s in the past decade, when they became two very hot buzzwords. But what exactly are they? Do they mean the same? It often seems that Machine Learning and Artificial Intelligence are being used synonymously, even interchangeably. Before we go any further, we at Qubit Labs decided to make sure everybody understands the difference.

Taking a Closer Look at the Definitions

Imagine that machines can carry out different tasks in a way we would consider “smart.” The broader concept describing this is Artificial Intelligence, which covers all devices designed to act intelligently. Machine Learning, on the other hand, is a more narrow term. It’s a current application of AI that is based on the idea that we can give machines access to certain data and let them learn for themselves. This may sound a bit far-fetched, but the truth is, the hype around machine intelligence methods continues to grow.

ML and AI Applications In the Real World

But what does it have to do with me? you ask. You never know, in what incredible way this new technology may be able to help your business. Qubit Labs will gladly help you figure this out and help you out with outsourcing any AI-related software development.

Many of the most impressive uses of AI we’ve seen have been in the gaming world. It’s true!

Since the gaming world can be quite similar to the real world, it offers a perfect place to start the AI work (e.g., constrained environments, explicit rewards, easy-to-compare results). And it is much easier for a self-driving car to go a trillion miles in a simulated environment than on actual roads. And this is only one of the examples when techniques made for the gaming world move to the real world. Imagine how many other things in the world can be reconfigured to look like a game!

As you see, even the early attempts to apply AI in real life are intriguing. Developers create software to dodge San Francisco meter maids and recreate the memories of loved ones as conversational bots. Who knows, what else does our future bring?

Use of AI in large organizations

Successful use of machine intelligence at a large organization can be difficult at first, but as soon as it’s enabled, an organization sees everything through the lens of their potential. Organizations like Google, Facebook, Apple, Microsoft, Amazon, Uber rely heavily on machine intelligence. Think of it, maybe AI can change the way your organization works too!

Once we figure out all the secrets of AI and machine learning, we can solve much more problems than using traditional software. Big players like Conservation Metrics and Vulcan Conservation have been using it to protect endangered animal species; the incredible people at Thorn are ...

Top Tech Events Q1 2017 Guide by Qubit Labs

While you’re most probably preparing for the NYE party, we are still at our desks, preparing for all the wonderful things that will happen in 2017. Our goals for the next year are simple: we want to be the best we can and to serve our clients the best way possible. We want to meet new talented people and find great clients to work with in future. Here’s the list of tech events that the Qubit Labs team is planning to visit in Q1 2017 to do exactly that.

1. CES 2017 - January 5-8 - Las Vegas, NV

The launch pad for innovation and technology that has changed the world. The world’s gathering place for everyone who thrives on the business of consumer technologies, where next-generation innovations are introduced to the marketplace.


2. IoT Tech Expo Global - January 23-24, London, UK

A leading global event, set to showcase the most cutting edge technologies from more than 100 exhibitors and provide insight from over 200 speakers sharing their unique industry knowledge from industries like manufacturing, transport, health, logistics, government, energy, insurance, agriculture, retail and automotive.


3. Ninth Global Deep Learning Summit - January 26-27, San Francisco, CA

Here is where the smart artificial intelligence revolution takes place. Come and explore software that can recognize patterns in digital representations of sounds, images, and data. Learn from industry experts in speech & pattern recognition, neural networks, image analysis and NLP.


4. Wearable Technologies Conference 2017 EUROPE - February 7 - 8, Munich, DE

Pioneer and worldwide leading innovation and market development platform for technologies worn close to the body, on the body or even in the body. The 2017 B2B2C event for the entire wearable ecosystem, offering the ideal networking experience: it not only offers a conference stage but also has an extensive exhibition area which features companies from every market segment.


5. ItExpo - February 8-10 - Ft. Lauderdale, FL

The communications and business transformation event of the year! Enough said.


6. Mobile World Congress - February 27 - March 2 - Barcelona, Spain

The world’s biggest and best mobile industry event comprising of a massive exhibition, an award-winning conference, outstanding networking opportunities, partner programs, the Glomo Awards and much more.


7. Wearable Technology Show - March 7-8, London, UK

#1 event for smart technology anywhere in the world that saw record numbers of both exhibitors and visitors in 2016 and this trend is set to continue in 2017. This time, the show will also offer co-located events like The Digital Health Technology Show – bringing the latest healthcare innovations under one roof, or Smart Home Show – the event for the connected home, technology and user innovation, and many more.


8. Internet World The E-commerce Fair - March 7-8, Munich, Germany

An exclusively a B2B trade fair, whose key issues include online marketing and social media, software and ...