Guidelines

Which of the following is not the guarantee of an artificial neural network?

Which of the following is not the guarantee of an artificial neural network?

Which of the following is not the promise of artificial neural network? Explanation: The artificial Neural Network (ANN) cannot explain result.

What is artificial intelligence used for?

Artificial intelligence is widely used to provide personalised recommendations to people, based for example on their previous searches and purchases or other online behaviour. AI is hugely important in commerce: optimising products, planning inventory, logistics etc.

What is meant by an auto associative neural network?

Abstract. Autoassociative neural networks are feedforward nets trained to produce an approximation of the identity mapping between network inputs and outputs using backpropagation or similar learning procedures. The key feature of an autoassociative network is a dimensional bottleneck between input and output.

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How does AI affect daily life?

Many digital assistants use AI to understand the nuances of human language. This allows the devices to process full sentences spoken by the user and respond with natural speech. The natural language abilities will get better and better over time until digital assistants sound just like humans.

What is an artificial neural network?

Steven Walczak, Narciso Cerpa, in Encyclopedia of Physical Science and Technology (Third Edition), 2003 Artificial neural networks are a technology based on studies of the brain and nervous system as depicted in Fig. 1. These networks emulate a biological neural network but they use a reduced set of concepts from biological neural systems.

What are neutneural networks?

Neural networks —and more specifically, artificial neural networks (ANNs)—mimic the human brain through a set of algorithms. At a basic level, a neural network is comprised of four main components: inputs, weights, a bias or threshold, and an output.

What is strong artificial intelligence (AI)?

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Strong AI is defined by its ability compared to humans. Artificial General Intelligence (AGI) would perform on par with another human while Artificial Super Intelligence (ASI)—also known as superintelligence—would surpass a human’s intelligence and ability. Neither forms of Strong AI exist yet, but ongoing research in this field continues.

What is the difference between artificial intelligence and machine learning?

Perhaps the easiest way to think about artificial intelligence, machine learning, neural networks, and deep learning is to think of them like Russian nesting dolls. Each is essentially a component of the prior term. That is, machine learning is a subfield of artificial intelligence.