ARTIFICIAL INTELLIGENCE - Computer Science Articles

Brainport

Introduction In the modern phase of rapid engineering the things are moving towards the miniaturization and accuracy to achieve the human comfort and convenience. These all technologies has changed the way of living of human beings by providi ...

0 Comments. 2420 views since Oct 9, 2007

Artificial Intelligence

What is Artficial Intelligence ? Artificial intelligence (AI) is the ability of an artificial mechanism to exhibit intelligent behavior. Artificial intelligence is also the name of the field in which artificial mechanisms that exhibit inte ...

2 Comments. 2109 views since Sep 10, 2007

Introduction to Autonomic Computing

Human beings have evolved a rich and sophisticated set of processes for engaging with the world ,.when we will not have time or the expertise to unravel problems arising in newer system then Autonomic Computing gives the result of realization that unle ...

0 Comments. 1959 views since Sep 16, 2007

Artificial Neural Network

An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processi ...

0 Comments. 1740 views since Sep 23, 2007

Introduction to Cognitive Computers

In an effort to get robots in computers to behave like computers collaboration is on between the diverse fields of artificial intelligence, expert systems and human machine interactions. Researchers are trying to apply the latest learning in the cognit ...

0 Comments. 1304 views since Oct 5, 2007

Architecture of Neural Network

Feed-forward networks: Feed-forward ANNs (figure) allow signals to travel one way only; from input to output. There is no feedback (loops) i.e. the output of any layer does not affect that same layer. Feed-forward ANNs tend ...

1 Comments. 1251 views since Jun 16, 2008

Adaptive Logic Networks

Introduction Adaptive Logic Networks technology has recently emerged as an effective alternative to artificial neural networks for machine learning tasks. This technical overview describes the advantages of Adaptive Logic Networks technology an ...

0 Comments. 1071 views since Sep 30, 2008

Biometric Face Recognition

Biometric face recognition works by using a computer to analyze a subject's facial structure. Face recognition software takes a number of points and measurements, including the distances between key characteristics such as eyes, nose and mouth, angles ...

0 Comments. 894 views since Sep 30, 2008

Pattern Recognition

Pattern recognition is a sub-topic of machine learning. It can be defined as "the act of taking in raw data and taking an action based on the category of the data".Most research in pattern recognition is about methods for supervised learning and ...

0 Comments. 814 views since Oct 7, 2008

Train To Gain With Neural Networks

Neural networks are state-of-the-art, trainable algorithms that emulate certain major aspects in the functioning of the human brain. This gives them a unique, self-training ability, the ability to formalize unclassified information and, most importantl ...

0 Comments. 770 views since Sep 30, 2008

Ambient Intelligence

Introduction What is Ambient Intelligence ? The information society is expected to evolve in the direction of the proliferation of computational systems that integrate a range of networked interactive devices embedded into a physical co ...

0 Comments. 747 views since Sep 22, 2008