Goto

Collaborating Authors

Rise of the machines

#artificialintelligence

To process an image, for example, the lowest layer is fed the raw images. It notes things like the brightness and colours of individual pixels, and how those properties are distributed across the image. The next layer combines these observations into more abstract categories, identifying edges, shadows and the like. The layer after that will analyse those edges and shadows in turn, looking for combinations that signify features such as eyes, lips and ears. And these can then be combined into a representation of a face--and indeed not just any face, but even a new image of a particular face that the network has seen before.


What is Artificial Intelligence?

#artificialintelligence

Learn what artificial intelligence (AI), elements of intelligence, and sub-disciplines of AI are, such as machine learning, deep learning, NLP, and more. Computer networking systems have improved human lifestyles by providing different types of devices and devices that reduce human physical and mental effort to perform various tasks. Artificial intelligence is the next step in this process to make it more effective by applying logical, analytical and productive skills to this task. This tutorial explains what artificial intelligence is and its definitions and components through various examples. We will also explore the difference between human and machine intelligence.


Is artificial intelligence really as intelligent as we think?

#artificialintelligence

Computers are increasingly taking important decisions for us. Should we be letting them? A team from the Swiss Idiap Research Institute shows why much of machine intelligence is just an illusion. Writes about the impact of new technologies on society: are we aware of the revolution in progress and its consequences? This is the opening question of British mathematician Alan Turing's most famous paperExternal link.


Winning Tasks That Neural Networks, Artificial Intelligence, and Machine Learning Perform

#artificialintelligence

The inventor of the first neurocomputer, Dr. Robert Hecht-Nielsen, defines a neural network as – "...a computing system made up of a number of simple, highly interconnected processing elements, which process information by their dynamic state response to external inputs." Artificial neural networks are one of the most important tools used in machine learning. They are brain-inspired systems which are designed for reproducibility and the repetition of a test or complete experiment that we learn. Neural networks help us cluster and classify. Typically, a neural network is initially trained, or fed large amounts of data.


Natural and Artificial Intelligence

@machinelearnbot

How are we making computers do the things we used to associated only with humans? Have we made a breakthrough in understanding human intelligence?