Q1.) What is the idea behind the creation of artificial neural networks ?
Q2.) Why do scientists struggle to replicate the working of human brains into artificial neural networks ?
Q3.) Write about some of the uses of the artificial intelligence in everyday life ?
Q4.) How is the human brain different from the artificial neuron networks models ?
Q5.) How can artificial neural networks improve decision making. give examples ?
Answers
1. The aim of Artificial Neural Networks is to realize a very simplified model of the human brain. In this way, Artificial Neural Networks try to learn tasks (to solve problems) mimicking the behavior of brain. The brain is composed by a large set of elements, specialized cells called neurons.
2. The Artificial Intelligence misinformation epidemic centred around brains working like neural nets seems to be coming to a head with researchers pivoting to new forms of discovery – focusing on neural coding that could unlock the possibility of brain-computer interface.
3. All in everyday life:
=> Online shopping and advertising
=> Web search
=> Machine translations
=> Smart homes, cities and infrastructure
=> Cybersecurity
4. Unlike humans, artificial neural networks are fed with massive amount of data to learn. While artificial neural nets were initially designed to function like biological neural networks, the neural activity in our brains is far more complex than might be suggested by simply studying artificial neurons.
5. The structure of ANNs is commonly known as a multilayered perceptron, ie, a network of many neurons. In each layer, every artificial neuron has its own weighted inputs, transfer function, and one output. Once the ANN is trained and tested with the right weights decided, it can be given to predict the output.
Ans: The main difference is human can forget but
neural networks cannot. Once fully trained