Top Software Development AI Tools and Frameworks for 2020

Software engineering is an art to design, development and maintenance of the software. But the soar of Artificial Intelligence has added a new trend in the mobile application development arena.

The concept of Artificial Intelligence has been introduced by Marvin Minsky, the founding father of Artificial Intelligence almost 50 years ago. He has given the power to the computer to think, learn and process the information as humans do, but with a hundred times the fastest speed.  However, understanding this science concept is still nerve-wracking for many experts.

However, as of now, AI is boldly walking in the corridors of every industry, right from operating smart appliances with the voice commands to chatting with AI-chatbots, so researchers and developers can’t resist themselves away from studying this technology.

Fortunately, it is hard to gulp down the principle of Artificial Intelligence. Still, as the global artificial market size was valued $24.9 billion in 2018 and expected to expand 46.2% from 2019 to 25, AI enthusiasts are steadily moving their focus towards this technology.

Still, wondering whether AI development tools and frameworks will push your business growth?

Let’s get some deep insights into AI here with the statistics portraying the clear picture, “How AI is bringing a new trend in eCommerce”.

• According to the research study, AI has the potential to boost rates of profitability by 38% approx. by 2035 and lead to an economic boost of $14 trillion across 16 industries by 2035. (Source)
• According to the survey, more than 80% of consumer interactions will be done solely by chatbots in 2020.
• The recent study of Accenture reveals that AI technology can dramatically boost business productivity by 2035.
• The usage of AI in application development has grown by 270% in the last four years.

Stephen Hawking Says, “The development of full Artificial Intelligence could spell the end of the human race”.

And, I ultimately agreed with his statement! The way AI technology is quickly transforming the various industries and affecting us at every step of our life, AI development tools and frameworks have become an urgent need of an hour of many businesses.

Now the question is, what best open-source AI technologies you can use to develop applications that seamlessly conquer the future market?

Here is the list of best AI development Frameworks and Tools that will rule in 2020:

• TensorFlow: Carrying Out Numerical Computation Using Data Flow Graphs for Extensive Machine Learning

The statistic shows that Artificial Intelligence framework, “TensorFlow” ranked as the most powerful tool for developing applications.

TensorFlow is one of the most potent AI library launched by researchers and engineers working with Google Brain in 2015. It has been designed and developed solely to support and handle high-volume and complex numerical computations without any flaws. Being easy to access and simple to deploy on multiple platforms (Linux, Mac OS, Windows), it has become the first choice of many mobile app development companies in the world across.

Features of TensorFlow

• It is available for multiple languages including C++, Python, Java, Go, Rust, Javascript and more.
• The flexible structure of this framework allows you to develop neural networks using data flowgraphs.
• It’s fast to access and ensure machine learning benefits to the application development process.

Bottom Line: TensorFlow has achieved 9.4 Editor rating and 7.0 user ratings.

2. Theano: A Competent Numerical Computation Library of Python

Theano is a robust Python library that enables you to simply define, optimize and analyze numerical expressions involving multi-dimensional arrays with a high level of accuracy. With the transparent use of GPU for carrying out the data computation, Theano ensures you high efficiency in its operations.

Features of Theano

• It can be used for carrying out deep learning research.
• It is completely optimized for CPU and GPU.
• Highly efficient for complex numerical computational tasks.
• It comes with extensive code testing capabilities.

Bottom Line: Theano has achieved a 9.1 Editor rating and 7.3 user ratings.

3. OpenNN: A C++ Library for Deep Learning and Advanced Analytics

OpenNN is an open-source C++ written software library that is specifically designed for deep learning and advanced Machine Learning research. While it comes with extensive code-testing and unit testing features, therefore it ensures high processing speed and outstanding memory management.

Most of the offshore software development company find it high performance library as it’s documentation comes with tutorials and simple examples to make you understand the overview of this library.

As this library is consist of sophisticated algorithms and utilities, therefore, developers can build a neural network model without any need of programming.

Features of OpenNN

• It is free to use for advanced Machine Learning research.
• As it consists of various features, it can quickly solve many real-world applications in health, energy, marketing and many more.

Bottom Line: OpenNN has achieved a 9.3 Editor rating and 7.8 user ratings.

4. Microsoft CNTK: A Modularized Microsoft’s Computational Network Toolkit

Microsoft Cognitive Toolkit is a sharp reply to Google’s TensorFlow. It is an open-source standalone ML toolkit that combines various model types like feed-forward DNNs, convolutional nets (CNNs) and recurrent networks (RNNs/LSTMs). It is simple to use, a commercial-grade open-source toolkit that trains deep learning algorithms to learn like the human brain.

Features of Microsoft CNTK

• Its functionality closely resembles Google’s TensorFlow, so no extraordinary skills would be required to access this library.
• It boasts a flexible structure.
• Supports multiple languages including C++, Java, C#, Python and more.
• Provide documentation with distributed training.

Bottom Line: Microsoft CNTK has achieved a 9.4 Editor rating and 7.7 user ratings.

5. Rainbird: AI-Driven Automated Decision Making Framework

Rainbird is a completely automated based on Artificial Intelligence that helps businesses to create a model consist of knowledge map, a business structure and rules that contribute to decision-making. The Rainbird is a single product, but it has two main components- Rainbird Authoring Platform (the builder) and the Rainbird Cognitive Reasoning Engine (the runtime).

Rainbird is an award-winning AI-driven platform that enables businesses to build systems with the capabilities to make smarter decisions as like humans. The simple motive of Rainbird is to create a perfect relation between AI and Humans and enhance their decision making powers.

Features of Rainbird

• It offers a smart user interface and quick data import process.
• It is integrated with natural learning processing(NLP).
• Provide real-time insights and analytic reports to the enterprises for smart actions.
• Offer controlled learning algorithms.

Bottom Line: Rainbird has achieved a 9.2 Editor rating and 8.9 user ratings.

6. Torch. AI: An Advanced Approach to Complex Data Challenges

A Torch is a machine learning library framework launched in 2002, offers you a wide array of algorithms for deep learning. The open-source framework provides you with optimized flexibility and speed to help you handle complex machine learning projects without any complexities.

As this framework consists of the scripting language Lua and comes underlying with C implementation, it provides fast and efficient GPU support to the artificial intelligence development company.

Besides, Torch provides neural network and optimization libraries that are simple to access by the application developers.

Features of Torch

• It has a fantastic interface to C, via LuaJIT
• It offers powerful N-dimensional array
• You will get fast and efficient GPU support

Bottom Line: Rainbird has achieved a 9.5 Editor rating and 7.3 user ratings.

7. Caffe: A Machine Learning Framework With Python Interface

After 2017, Caffe has become one of the most popular software development frameworks in the field of Artificial Intelligence. This framework is designed with a special focus on expressiveness, speed and modularity. A large segment of software development companies chooses Caffe for AI development as it provides extensible code that assists in the active development process.

Apart, the massive community of researchers and developers around the world at Caffe user hub offers seamless support to multiple startups as well as leading enterprises in building complex AI projects.

Features of Caffe

• It’s highly expressive architecture encourage speed and innovation.
• Caffe can process more than 60M images per day.
• It provides extensive community support.

Bottom Line: Caffe has achieved a 9. 1 Editor rating and 7.9 user ratings.

Which is the Best AI and Machine Learning Tools for Developers?

Today AI and Machine Learning are the two most demanding technologies that an increasing number of businesses are adopting to make their setup ready for future. However, the real twist in the tale comes when you need to know which software to use to create a fully-functional AI algorithm that not only stands apart but also make your deep learning process far easier for app development.

We have listed above a few of the most trending AI frameworks that you can’t avoid in 2020. This will not only enhance the developer’s skills but also equipped them with future-ready tools.

The choice of the AI framework totally depends on your project requirement, developer’s technical skills and what features you want to leverage to make your app development process more accessible.

Learning how each framework works and assist you in the app development process can be a long way to choose the right framework.

By Kristy Hill, who is an experienced Business Consultant since 2011 and associated with the top software development company. Being into this industry since long, she has in-depth knowledge of latest app development technologies and a flair of writing. Therefore, she has guided the best app development frameworks through blogs and articles to upgrade developer’s knowledge. 

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