Computer science is the scientific and practical approach to computation and its applications. It is the systematic study of the feasibility, structure, expression, and mechanization of the underproduction's (or algorithms) that underlie the acquisition, representation, processing, storage, communication of, and access to Information, whether such Information Is encoded as bits In a computer memory or transcribed In genes and protein structures In a biological cell. ] A computer scientist specializes in the theory of computation and the design of computational systems.  Its subfields can be divided into a variety of theoretical and practical disciplines. Some fields, such as computational complexity theory (which explores the fundamental properties of Computational and intractable problems are highly abstract, while fields such as computer graphics emphasize real-world visual applications. Still other fields focus on the challenges In implementing computation.
For example, programming language theory considers arioso approaches to the description of computation, whilst the study of computer programming itself investigates various aspects of the use programming language and complex systems. Human-computer interaction considers the challenges in making computers and computations useful, usable, and universally accessible to humans. The modern definition of artificial intelligence (or AAA) is "the study and design of intelligent agents" where an intelligent agent is a system that perceives its environment and takes actions which maximizes its chances of success. John
McCarthy, who coined the term In 1 956, defines It as "the science and engineering of making Intelligent machines. " Other names for the field have been proposed, such as computational Intelligence, synthetic Intelligence or computational rationality. The term artificial intelligence is also used to describe a property of machines or programs: the intelligence that the system demonstrates. AAA research uses tools and insights from many fields, including computer science, psychology, philosophy, neuroscience, cognitive science, linguistics, operations research, economics, control heron, probability, optimization and logic.
AAA research also overlaps with tasks such as robotics, control systems, scheduling, data milling, logistics, speech recognition, facial recognition and many others. Computational intelligence Computational intelligence involves iterative development or learning (e. G. , parameter tuning in connectionist systems). Learning is based on empirical data and is associated with non-symbolic AAA, scruffy AAA and soft computing. Subjects in computational intelligence as defined by IEEE Computational Intelligence Society mainly Include: Neural outworks: trainable systems with very strong pattern recognition capabilities.
Fuzzy modern industrial and consumer product control systems; capable of working with concepts such as 'hot', 'cold', 'warm' and 'boiling'. Evolutionary computation: applies biologically inspired concepts such as populations, mutation and survival of the fittest to generate increasingly better solutions to the problem. These methods most notably divide into evolutionary algorithms (e. G. , genetic algorithms) and swarm intelligence (e. G. , ant algorithms). With hybrid intelligent systems, attempts are made o combine these two groups.
Expert inference rules can be generated through neural network or production rules from statistical learning such as in ACT-R or CLARION. It is thought that the human brain uses multiple techniques to both formulate and cross-check results. Thus, systems integration is seen as promising and perhaps necessary for true AAA, especially the integration of symbolic and connectionist models. Yes, it can. Computers will eventually exceed the processing power of the human brain, and after that it will only be a matter of time before there is software good enough to be ore intelligent than a human.
There are already researchers working to simulate the human brain, and when they can do it faster than real-time, it will be more intelligent. Posted by: Postpone Report Post Electroencephalogram Yeah it will Humans are flawed. It is in our inherent nature that we make mistakes. These mistakes humans must overcome, redo, and gain new intellect. Computers are flawless. They are smart, but lack feelings. Everything can be explained in mathematics. Computers are going to excel humans like when Watson destroyed two the smartest Jeopardy players. Posted by: sweatshirt Yes, and easily so.
Depending on how you choose to define intelligence, computer's will increasingly - While I would agree that intelligence is not limited to knowledge, it is certainly part of it and computers crush us in this aspect. - Computers also beat us in calculations. - And multitasking. - And pattern recognition. - Some would mostly likely argue that computers can not tell emotions, but this is false. Each emotion corresponds to a specific brain state and sometimes facial expressions, both of which can be analyzed by computer. Posted by: Bureaucrats Yes I do.
I believe, that we as a race, while we probably will not be able to give an artificial intelligence emotions, we can give it opinions. Opinions are our views based on evidence we have seen. We give an intelligence with a large amount of processing power access to the whole of the internet, and tell it to tell us if racial profiling still exists, it will pull all of the data on racial profiling in the past, lets say, 10 years, it will give us a yes or no answer based on the information it has. Secondly, would we make something smarter than ourselves?
We already have. Calculators can do complex problems faster than nearly any human you pull from the face of the earth. Would we create a supercomputer with intelligence, that can solve problems faster than we can? Not for a long while. The nearest practical use I can see of that is still science fiction. However, I don't think that stops scientists and engineers from trying to create it to say that it can be done. To sum it up, would we create an intelligence smarter than ourselves? Yes. Why? To understand and explain things we can't.