Quickly changing natural conditions and unforgiving mechanical stacking are wellsprings of harm to structures. Coming about harm can be analyzed in view of nearby ID for example, the nearness of little splits in a part or then again worldwide recognizable proof, for example, changes in...
Essays on Intelligent Machines
The article “You Are Already Living Inside a Computer” has a very strong take on the fact that very soon, human intellect will become machine intellect, and that computers have taken over our everyday needs, wants, and basic tasks. Bogost says “The ultimate dream is...
Will artificial intelligence help humanity or harm it? To answer this question, we must first understand what Artificial intelligence is. Artificial intelligence or machine learning, is intelligence shown by machines, compared to the natural intelligence exhibited by humans, or in other words human-like intelligence displayed...
Artificial Intelligence associate degreed machine learning capabilities square measure growing at an incomparable rate. These technologies have several wide advantageous applications, for instance, AI may be an important component of ordinarily used technologies like automatic voice recognition, computational linguistics, spam filters, and search engines. The...
One important application of NLP is Machine Translation (MT): “the automatic translation of text…from one natural language to another. ” The existing MT systems are far from perfect; they usually output a buggy translation, which requires human post-edit. These systems are useful only to those...
Text recognition in the natural image is still a challenging task due to complicated environment. The challenges regarding complexity of natural images for text extraction can be broadly seen from three different angles. There may be variation in natural scene text due to uncontrolled surrounding...
Multi-label classification is an important machine learning task wherein one assigns a subset of candidate labels to an object. In this paper, we propose a new multi-label classification method based on Conditional Bernoulli Mixtures. Our proposed method has several attractive properties: it captures label dependencies;...
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