tech blogger

The goal of artificial neural network machine learning algorithms is to mimic the way the human brain organizes and understands information in order to arrive at various predictions. Neural networks , with their remarkable ability to derive meaning from complicated or imprecise data, can be used to extract patterns and detect trends that are too complex to be noticed by either humans or other computer techniques. Artificial neural networks, like real brains, are formed from connected “ neurons “, all capable of carrying out a data-related task, such as recognizing something, matching a piece of information to another piece, and answering a question about the relationship between them. Each neuron is capable of passing on the results of its work to a neighboring neuron, which can then process it further. Typically, neurons are organized in  layers . Different layers may perform different kinds of transformations on their inputs. Signals travel from the first (input), to the last (ou...

Back in the 1950s, the fathers of the field  Minsky  and  McCarthy , described artificial intelligence as any task performed by a program or a machine that, if a human carried out the same activity, we would say the human had to apply intelligence to accomplish the task. AI or artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning and self-correction. Some of the applications of AI include expert systems, speech recognition and machine vision. Artificial Intelligence is advancing dramatically. It is already transforming our world socially, economically and politically. Types of Artificial Intelligence: Artificial Intelligence can be classified in several ways. The first classifies the AI as either weak AI or strong AI. Weak AI also known as narrow AI, is an AI system that is designed and trained for a specific type of task. Strong AI, also known as artificial...