May your new year be filled with special moments, warmth, peace and happiness, and wishing you all the joys of Christmas and a year of happiness~

Machine translation (MT) is a subtype of computational linguistics that uses to implement the translation between different natural languages (NL). Simply word to word exchanging on machine translation is not enough to give desire result. Neural machine translation is one of the standard methods of machine learning which make a huge improvement in recent time especially in local and some national languages. However these languages translation are not enough and need to focus on it. zeshan ali translated Urdu to Chinese language with the help of neural machine translation (NMT) in deep learning methods. 

      Figure 1. Bar representation of BLEU score of different UCT.

Akhter Mohiuddin Rather proposed a deep neural network based approach for prediction of non-stationary data recently. Traditional statistical models did not yield any expected results; artificial neural networks resulted into high time complexity. Therefore, deep learning approach seemed to be the bestmethod as of today in dealing with such problems wherein time complexity and excellent predictions are of concern.

                           Figure1. Sliding windows in ARDNN.

We are pleased to announce that 2020 Volume 3, Issue 1 of Journal of Autonomous Intelligence has been published, and is currently available for download.

Click here to access the full issue.

@ JAKARIN2521/ISTOCK.COM

We are pleased to announce that 2019 Volume 2, Issue 2 of Journal of Autonomous Intelligence has been published, and is currently available for download.

Click here to access the full issue.

The publication frequency of Journal of Autonomous Intelligence (JAI) is Semi-annual. All articles that have been accepted will be online in time without delay. We welcome the high-quality original articles covering all aspects of Autonomous Intelligence with emphasis on artificial intelligence and robotic self-learning.

Editorial Office of Journal of Autonomous Intelligence

Journal of Autonomous Intelligence is a peer-reviewed interdisciplinary journal that publishes original research and review articles covering all aspects of Autonomous Intelligence with emphasis on Artificial Intelligence and Robotic self-learning.

We are pleased to announce that 2018 Volume 1, Issue 1 of Journal of Autonomous Intelligence has been published, and is currently available for download.

Click here to access the full issue.

Journal of Autonomous Intelligence is a peer-reviewed interdisciplinary journal that publishes especially original research and review articles covering all aspects of autonomous intelligence with emphasis on artificial intelligence and robotic self-learning. The journal seeks to disseminate findings in the domain of autonomous intelligence by featuring the latest advancements in the field and state-of-the-art theories, techniques and implementations. It aimes at bringing the scientific discourse and discoveries to a wide international audience by being a platform for scientists, engineers, researchers and academicians to share, discuss and advocate new issues and developments in the diverse spheres of Autonomous Intelligence. More details, lease click Focus and Scope.

Prof. Michel Cotsaftis