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Top 5 programming languages for building AI solutions

The topic that created much buzz in the world of computer science last year is clearly “Artificial Intelligence”. Thanks to Mark Zuckerberg for showing his deep interest in the development of Artificial Intelligence and making it a trending topic of 2017.


AI in itself is so strong and substantial that it has the capacity to convoy yet another revolution in the field of Computers and of human intelligence as well. This is the very reason that many geeks have already begun working in the development of AI, for it is best to strike the iron while it’s hot. Around 1031 AI startups have already been listed under AngelList. According to Forbes, around 65% of investment made in the field of AI has already been absorbed by leading companies based in U.S. In the year 2016 itself, a total of $39B was invested by companies in the AI market making it a massive industry.

Solution to artificial intelligence may seem complex to not just beginners but to the programmers working in this field since a long period as well. This complexity arises due to the lack of understanding as to which programming language will serve their purpose the best. There exist many programming languages for the development of artificial intelligence but choosing the best among them is what the trick is. All it takes for the smooth progress in AI is an intelligent decision making while opting for the right programming language as per one’s individual business. There is no single language that serves each and every purpose hence, no language can be declared as best. How perfect any language is for any individual depends on what he is looking forward to and what are his demands.

Here are the top 5 programming languages for building AI solutions:


One of the leading languages used for developing AI Projects is Python which is because of its simplicity and easy coding behavior and is especially used in health-related startups involving AI. One of the primary reasons for using Python is because it is the collation of both Java and Lisp hence; you potentially get to use the essential features of the two. Another reason for Python’s popularity is the engagement of developers because of its dynamic features.

Best features of Python:

  • Practical versions of libraries.
    (tensorflow, numpy, VTK, Simple AI)
  • Open Source Libraries.
    (Numpy, Matplotlib)
  • Great Framework.
  • Effortless prototyping and building of apps.
  • Easy to learn.
  • Open Source.
  • Modular programming.
  • Fast testing.


The reason Prolog is preferred for AI solutions is that it pretty much revolves around a dedicated set of mechanisms which consists of a small, flexible yet well-built programming framework. Using Prolog one can exploit basic but constructive features of LISP as well.

Best features of Prolog:

  • Logic-based development.
  • Expert system implementation.
  • Easy rule implementation.
  • Pattern matching.
  • Supports backtracking.
  • List handling mechanism.


Java is in the top five because of its familiarity and easy to use features. This OOP language allows easy coding of algorithms which covers the major part of AI. Java is always a choice of those developers who plan to develop large scale projects and when portability is vital.

Best features of Java:

  • Strong Libraries.
    (Weka, Mahout)
  • Easy usability.
  • Scalability.
  • In-built Garbage Collection.
  • User interaction.
  • Fast.


The very reason C++ is used in AI solutions is its speed; it is probably the fastest language out of all. Therefore, whenever speed is the prime concern of any AI developer, C++ is opted.

Best features of C++:

  • Speed.
  • Easy to learn.
  • Real world implementations.
  • Genetic Algorithms
  • Neural Network Implementations.
  • Mission Critical Systems.


LISP (List Processing) is that high level language which impresses AI developers quite well and has been used in many classic AI Projects as well. The factor that places it at the last position is that, in comparison to others it is not fast.

Best features of LISP:

  • Supports Symbolic Programming.
  • Garbage Collection
  • Syntax Uniformity.
  • Extensible.
  • Rapid Prototyping.
  • Machine Translations.
  • Great prototyping tool.

Top 7 Technologies Predictions That Will Dominate 2018

With the conclusion of 2017, another great year for technology and innovation comes to an end. The year gave us the reusable rocket by SpaceX along with the widespread use of face recognition technology all around the world. Now, we are stepping into a year which promises us revolutionary technologies and solutions alongside. Here are 7 technologies to dominate 2018 and make headlines –

AI Applications

2017 witnessed the marvel of AlphaGo Zero when it taught itself the game of Go became its best player ever in just 40 days. And it did all that without any human data or interference. With the Hanson Robotics Company creating Sophia, World’s one robot citizen, Artificial Intelligence has been revolutionized. As Deep learning and Machine learning complement each other in proportionate terminologies, Artificial intelligence revolutionized digital advertising. 2018 Promises to be an interesting year for more such revolutionary insights.

Prescriptive Analytics

Large organizations and companies started working on Big Data and created their way to be better at predictive analytics. This was helping medium and large businesses tremendously for improving customer experience, processes and many other things. However, the next goal is to reach the prescriptive analytics, where a large set of algorithms and data modeling techniques will recommend the actions on the predictions. This would in 2018 be the final stage of understanding the business and prescriptive analysis will certainly decide the future of Big Data.

Edge computing

Edge computing is the key factor in making IoT (Internet of Things) work. There has been an unprecedented rise in data generation which has led to an increase in demand for means of gathering, storing and utilizing all of that data in more compatible and centralized means. Emergence of technologies such as driverless cars and advanced robots has also created a requirement of rapid processing. It has been predicted that around 100 trillion sensors will be integrated into our economy within the next decade generating a humongous amount of data. And the technology which has emerged as the solution for the need of all this rapid processing and data gathering requirement is – edge computing, i.e., computing on the sensors itself. 2018 has been predicted as the year which will be dominated by the advancement in edge computing.

Seamless voice recognition (Conversation with machines)

Voice recognition technology has always been viewed as a helping but unreliable assistance. But all that may change in 2018 with the rise of sophisticated voice and speech recognition technology. There are already much research and development going on in this field with some big names like Google and Microsoft racing to be its flagbearers. 2018 may come out as a year when we start to have a normal sophisticated conversation with our devices without experiencing any hiccups or obstructions.

5G technology

4G technology reached its peak in application in the year 2017 and 2018 has been predicted as the year which finally gives us the next set of communication technology in the series; the 5G. Development work has been going on in many countries with countries such as Japan, China, India, the US and some others promising to launch it in 2018 itself. The launch of 4G technology dominated the tech headlines in 2011 which makes us pretty sure 2018 will be the same for 5G. The end of 2018 may give us the next set of revolutions in communication technologies.

Driverless cars

The development race for self-driving cars was the major fodder for news channels around the world in 2017. The concept of self-driving cars has attracted some big corporations such as Google, Tesla, Mercedes and more in an arms race for introducing the first driver-less cars on the road. Many test runs of the technology was done by companies such as Google, Mercedes and Uber in the passing year. With possibilities of driverless cars running for complete distances on their own, 2018 promises to be a year that delivers on the stimuli provided by technological enhancements.

UI overhaul

2018 may be the year where our interaction manner with our devices may change completely. Development of smart UIs may make it possible to interact with our computers or cellphones by the use of voice commands only. Work is already on for the introduction of user interface with voice or visuals as cue only instead of traditional commands and 2018 can be the year where it finally materializes and there is an huge UI overall.

Mobile application development to boost sales in 2018

The global market has experienced an exponential increase in the number of smartphone users which ultimately has led to increase in the amount of time people spend on mobile application. All sections of the society, be it the working class, the students or house-wives, has a smartphone and we all are aware just how useful they are. The use of these gadgets has found its place in all spheres of life, be it shopping to online banking to watching TV shows to playing games. These days, over 25% people have a mobile friendly website today, compared to only 9% in 2010. Recently, there has been an exponential rise in the number of users downloading mobile applications. Experts predict the same graph for the coming years. In this era of smartphones, if you do not get mobile application development done for your business, you surely are losing on a lot of prospective customers. This makes mobile application development to be one of the most prominent business investment for 2018, since it serves a huge purpose to boost sales and visibility of any business.

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19 methods for securing Magento 2 E-commerce Store

According to Jack Ma “For e-commerce, the most important thing is trust.” This statement transmits the vital truth of the e-commerce world. All in e-commerce, from product information, UI design, promotions, to reviews and ratings is for building that faith with your clients. Security of your site is very important to build the trust. Magento, since some last few months, has had confronts with various security vulnerabilities identified and response fast for addressing these vulnerabilities. Therefore, here we are giving you 19 ways for securing the Magento 2 E-commerce Store.Magento 2 E-commerce Store Continue reading “19 methods for securing Magento 2 E-commerce Store”

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