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The transportation domain is advancing in applying Artificial Intelligence (AI) in critical activities like self-driving vehicles. Here, the dependability and protection of an AI system will be under question from the common public. The chief challenges in the transportation industry like capacity issues, increasing pollution, and washed out energy are offering plentiful opportunities for AI…

Introduction The growing use of Artificial Intelligence (AI) and Machine Learning (ML) in the banking and financial sector has so far assured stability with growth aspects. The banking and other financial sectors such as insurance and mortgage have been using AI and ML in a wide range of applications to ease their process and enhance…

Former generations of machine learning algorithms were dependent on humans to give instances of the well-read concepts and to prepare functionalities to detect in the data. In comparison, deep learning methods use multiple individual learning algorithms in equivalent to analyzing enormous amounts of data. They are able to sort data into groups with automated processes…

In the present time, most of the discussions around health care and technology broadly revolve around the internet of things, personalised medicine, Artificial Intelligence (AI) and robotics. But how precisely are these technologies going to bring transformations? Three major trends that can impact and strike are improvements in human augmentation, the actual implementation of open…

Introduction Artificial Intelligence (AI) is the most efficient and the powerful buzzword now a day. According to a study, AI increases your business efficiency to around 40%. If AI is effectively deployed in a manufacturing unit, the company will quickly notice saving in cost, time and process. AI if used skillfully can give you enough…