The Greatness of Computer Science in Different Fields of Scientific Discipline

Computer science or computing science (CS) refers to the systematic study of the expression, mechanization, feasibility, and structure of algorithms or methodical processes which brings about the representation, acquisition, storage, communication, and processing of information that is encoded bit or bytes within the computer’s memory. In simpler words, it is the study of computation and information including its theoretical foundations and practical techniques for their application and implementation in computer systems.

People who work under this field of study are referred to as computer scientists. They usually work in many different complementing areas as they study the very essence of computing to distinguish and indentify problems that are and that are not computable. The scientists also compare different kinds of algorithms to determine if they offer an accurate and efficient solution to any existing problem. They also design several programming languages to facilitate the expression and specification of algorithms. Moreover, the scientists also involve themselves in designing, evaluating and building of computer systems that can competently execute such specifications and then apply those algorithms to key application domains.

Both software artifacts and computers are now becoming indispensable tools for the search for every known and unknown scientific discipline. And through the use of these tools, biologists were able to understand genetics, astrophysicists learn more about the big bang theory, and geologists were able to understand and predict location and intensity of earthquakes. Because of these achievements, it is no longer a big surprise if these scientists would rely increasingly but not entirely to the computational methodology of these computers and software for the advancement of different scientific fields. And just like all other scientific disciplines, the advances in the field of CS itself mostly rely on the use of various computational processes and computers. We have to say that computer science is truly a unique field of scientific discipline since it is the only field of science that urges and promotes its own advancement.

Computing science is all about solving problems. Thus people who are qualified to become scientists in this particular field of study need to have passion and dedication for searching efficient solutions, the ability to utilize analysis in mathematics and logical strictness to assess and evaluate these solutions, the creativity in modeling sophisticated problems through abstractions, the eye for details and other hidden assumptions, the ability to sharply distinguish variants of the same nature of problem in various settings, and the capability to retarget and utilize identified solutions to new problems at new settings.

Artificial Intelligence – Benefits, Drawbacks and Potential

Artificial Intelligence is a branch of computer science which deals with creating machines that are able to process and solve complex problems in a more human-like form. Basically, what is defined as characteristic human intelligence is being copied and replicated and then applied into algorithmic languages that the computers can understand. AI is highly associated with the field of computer science but expertise in other areas such as applied mathematics, psychology, philosophy, engineering and social intelligence are closely integrated. Combining the knowledge gained from these various fields of studies is essential in order to advance in the research and study of artificial intelligence.

The use of computers is well-suited for performing complex mechanical computations that are otherwise not possible for humans. State-of-the-art machines with integrated AI can perform simple tasks more efficiently and with greater speed and reliability than humans can. It is for this reason that AI comes beneficial for performing monotonous and tireless tasks that humans are not capable of. If people need to take breaks, a machine that is assisted with AI can continuously go on to operate for longer hours.

If solving complex computations and tireless performances can be done by AI computers and machines, there are also drawbacks that can be experienced. Machines and computers do breakdown and if it does happen, there is no work that can be carried out. All processes are also put to a halt whenever systems maintenance is being done. This can be a deterrent to the overall productivity of any company.

Furthermore, machine behavior also has its setbacks. Humans are known adapt to any situation. There are specific and complex situations that computers do not understand. Humans have current capabilities of approaching problems with high-level of reasoning, abstract thinking and pattern recognition. Hence, AI studies strive to capture all these intelligent traits of humans in order to improve this behavior of machines for overcoming complex tasks and adapting to new situations.

Ever since people were intrigued by the prospect of creating intelligent machines, there have been so many improvements that have been gained through the years. The applications of AI have grown in abundance and stretched their span from the sectors in engineering to movie-making industry, videogame development, medical facilities and scientific research labs.

In the succeeding years, it is expected that artificial machines will continue to thrive and flourish. Mankind is getting closer to their quest for creating artificial machines that have the capacity for intelligent thought and human-like reasoning. With advancements in technology and continued research and studies, this may come sooner than all of us expected.