Our article today will be about the exciting field or world of "Artificial Intelligence" technology. Yes, the "Artificial intelligence" mostly known by its acronym in Spanish or English, "IA" or "AI" respectively. And of course, emphasizing those that are from Open Source.
For those who may not be clear about what the "Artificial Intelligence" technology, this is a technology that is based on the Human Intelligence process simulation by machines, especially computer systems. These processes include learning, reasoning and self-correction. In addition, particular applications of "IA" include expert systems, recognition voice and artificial vision.
Artificial Intelligence in the Fourth Industrial Revolution
And before going fully into the subject, it is worth noting that the Artificial Intelligence Technologies, among many others, that run through the current Internet or they lean heavily on it, they are the ones that give body or clearly define this current Fourth Industrial Revolution, that we are living. And to mention and make clear what they are the most relevant technologies of this stage, we will mention them again below:
- Artificial Intelligence and Robotics
- The Internet of Things, Internet of People and Internet of All
- Autonomous Driving and Drones
- 5G Networks and WiFi Networks 6
- Quantum and Cloud Computing
- Biotechnology, Nanotechnology and Neurotechnology
- Tele-medicine, Tele-education and Tele-work
- Deep Learning and Big Data
- 3D Printing, Augmented Reality and Virtual Reality
- The new energy generation and storage systems
For more information on this point, you can explore our previous related post with it, which is immediately below:
Open Source Artificial Intelligence
What Artificial Intelligence Technologies exist under Open Source?
Among the latests Moravia's compositions "IA" already explored, in other previous publications we have:
OpenAI
"OpenAI" more than a project itself, it is a private non-profit organization that develops Free and open Artificial Intelligence projects for all. Whose mission in general is to guarantee that the "IA" benefit all mankind.
However, the same hopes to achieve this benefit by making its projects "IA" known as "Artificial General Intelligence (AGI)", become future Highly Autonomous Systems, capable of surpassing humans in the most economically valuable work, in such a way that humanity progressively makes better use of available human time. One of the latest best-known projects where it starts, is GitHub Copilot.
TensorFlow
Is one of the Artificial Intelligence Platform most used in the world. It was created by Google (Brain) for internal use and released under the Apache 2.0 open source license on November 9, 2015, replacing its closed source predecessor, called DistBelief.
It is conformed as a open source library addressed to deep learning, which is also available for Windows, Linux, MacOS, and mobile platforms that include Android and iOS. And its objective is to satisfy the needs of systems capable of build and train neural networks to detect and decipher patterns and correlations, analogous to human learning and reasoning.
PyTorch
It is another of the most used Artificial Intelligence Platforms in the world, along with TensorFlow. Above all, for being the main Facebook bookstore for applications of deep learning. In addition, it is package of Python designed to perform numerical calculations making use of the tensioner programming. And it is usually used as a replacement for the Numpy package.
Allows its execution on GPU to speed up the calculations performed. And it is widely used in research and development processes in the field of deep learning, mainly focused on the neural network development, through a very simple interface.
Microsoft's Cognitive Toolkit (CNTK)
It is a Artificial Intelligence solution or with a deep learning toolkit with enormous potential. It's also free, easy to use, and has a commercial-grade quality that allows you to create deep learning algorithms capable of learning at a level close to that of the human brain.
Microsoft, its creator, ensures that said open source tool provides uncompromising scaling, good quality speed and precision, and support for widely used programming languages and algorithms today.
Other open source AI / ML / DL Projects more to know
In case of, wanting to deepen on other projects related to the "Artificial Intelligence (AI)" technology and "Deep Learning (AP)" o «Deep Learning (DL) / Machine Learning (ML) », you can explore the following projects and previous related publications:
- Accord.NET
- Accumulations
- Aesara
- Apache mahout
- Apache PredictionIO
- Cafe
- H2OH
- IBM Watson
- Jasper
- Hard
- KubeFlow
- ML.Net
- OpenNN
- Scikit-Learn
- Theano
- wit.ai
And lastly though «it is not an Open Source AI Project », it is worth exploring a little to know and learn, what are the Amazon AI / ML Services.
Summary
In short, as we can see this novel and growing technological field which focuses on development and implementation of "Artificial intelligence" and "Deep Learning (AP)", does not escape the boom in the use of Free Software and Open Source in all productive and commercial spheres of public, private and community organizations. And in time, you are Open Source AI will continue to improve, evolve and offer us best solutions and discoveries to existing and future problems.
We hope that this publication will be very useful for the entire «Comunidad de Software Libre y Código Abierto»
and of great contribution to the improvement, growth and diffusion of the ecosystem of applications available for «GNU/Linux»
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