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ENGLISH FINAL PROJECT

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ENGLISH FINAL PROJECT
SENATI
NAME OF THE INSTITUTION
TOPIC
ARTIFICIAL INTELLIGENCE AS AN
ÁREA OF COMPUTER SCIENCE
TEAM:
• ELIAN FABRIZZIO CAMPOS VALVERDE
• ANDREA BELÉN VASQUEZ GONZALES
• CRISTAL ARIANA SOTELO MORI
INSTRUCTOR
ANGIE ROMERO ESPINOZA
LIMA, PERÚ
21/09/23
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INTRODUCTION
Nowadays artificial intelligence is taking control of technology, which is searching to develop
an advanced information system.
Artificial intelligence has come to make difficult tasks easier for us, but it can also create new
jobs and career opportunities in areas such as programming, algorithm development, and
the supervision and maintenance of AI systems. AI can be used to optimize existing
processes, to improve procedures, or to disrupt certain sectors.
We will define it as a science in full discovery that is related to certain scientific knowledge of
computing.
AI tries to understand how human minds work and adapt to our behavior. Its intention is not
that of a simple machine that receives instructions, but rather as a guide to speed up our
reasoning and learning quickly.This is precisely why AI is a tool that we can use to our
advantage, to strengthen capacity in the Computer Science industry.
Because computer science not only covers the area of artificial intelligence but is also about
technological tools in general that we can use in our daily lives, we will talk about a diversity
of examples that occur in the business area.
We will show the advantages and disadvantages that influence human brain activity, as well
as the appropriate use that will be given to technology in the academic field.
The main objective of this project is to advise on how AI supports the computing industry,
being recognized as an area of computer science.
ENGLISH FINAL PROJECT
ARTIFICIAL INTELLIGENCE
AS AN ÁREA OF
COMPUTER SCIENCE
Computer science represents for excellence a branch of engineering that deals with the design,
creation, modification and evolution of both logical machines and computational physical
machines; it also contemplates the mechanisms that integrate artificial intelligence in their
design and operation, the study of the formal bases of information and computation, necessary
to conceptualize new technologies and computing solutions, as well as the treatment of the
massive information available, which is produced in a world based on data. It attempts to use
mathematics for cryptography and encryption to protect system information. The way in which
codes are created that tell a program how to function and fulfill its objectives. It is in charge
of following rules and parameters to be able to write the code, as it happens with a language. It
is done through the use of algorithms, these are the instructions that programs follow to
function correctly. Is the first step in the creation of software, then it will be executed by the
computer hardware in order to obtain the expected results of the program, this means that
fulfills the task for which it was designed.
Computer science has enabled great changes in the world during the last few years and by the
way it is going we can see that it will continue to do so. This concept encompasses the
theoretical bases of information and computation, as well as its application in computational
systems.
It comprises the systematic study of algorithmic processes that describe and transform
information: theory, analysis, design, efficiency, implementation, systematized algorithms and
application. It is used to create codes that tell a program how to function and fulfill its
objectives. It is in charge of following rules and parameters to be able to write the code, as it
happens with a language. It is done through the use of algorithms, these are the instructions
that programs follow to function correctly. It is the first step in the creation of software, then
it will be executed by the computer hardware in order to obtain the expected results of the
program, that is to say that it fulfills the task for which it was designed.
Most of the time we confuse computer science with other things and we need to know that
computer science is not the study of computers, and we need to be clear that it does not
strictly require the use of computers. Data and algorithms can be processed with paper and
pencil. Computer science is very similar to mathematics. That is a reason which many people now
prefer to call the subject "Computer Science".
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Often, computer science is confused with three fields, which are related but not exactly the
same. Which are Computer Engineering, Software Engineering and Information Technology. It is
not that they do not fall into this science, what we want to bring is that these become part, but
do not have the same functionality.
People often use the term "Computer Science" for any field that involves programming, hardware
or software, in some ways they are right cause programming is an area inside Computer Science.
Some of the best known applications of computer science are:
-
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Artificial Intelligence (AI). It allows the synthesis of processes such as problem solving,
decision making, adaptation to the environment, learning and communication in machines using
this technology.
Computer networks. Facilitates the management of connectivity between computer networks
in the world, both for local (LAN) and wide (WAN) connections.
-
Databases. It allows to manage these databases through digital systems of storage, creation
and maintenance. It also facilitates faster access to any information.
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Health informatics. It is applied through the use of medical software and is part of health
technologies. Its objective is to provide service to health professionals in order to improve
the quality of health care.
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Software engineering. The study of the design, implementation and modification of software
to ensure its quality, affordability, ease of maintenance and speed of construction.
Computer science professionals are capable of creating technologies to further transform the
world.
Currently, there are few conventions that specifically bring together which disciplines belong to
the field of computing. This is due to the fact that, within technology, computing is extremely
broad compared to other subjects, this still in continuous evolution.
The approach of technology in computer science
The Turing Test, proposed by Alan Turing (1950), was designed to provide a satisfactory
operational definition of intelligence. That is, instead of presenting a list of qualities necessary to
obtain intelligence artificially, he suggested a test based on the inability to differentiate
between intelligent entities and human beings. The computer passes the test if a human evaluator
is unable to distinguish whether the answers, to a series of questions posed, are from a person or
not. At present, we can say that developing a system to pass the test requires considerable work.
The system should possess the following capabilities (Russell & Norvig, 2004). Alan Turing
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simplified this for everyone so that we can develop the ability to encode a computer-compatible
language.
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Natural language processing that is able to communicate successfully in a language.
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Knowledge representation with the capacity to store what you know or feel.
Automatic reasoning to use stored information to answer questions and draw new conclusions.
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Machine learning to adapt to new circumstance, detect and extrapolate patterns.
We have a lot of areas and technology testing, and AI brings a lot to it. Today we have several
ways to use it on a daily basis. Mostly these programs are more used by students. Like: Chatbots,
Artificial intelligence technology, through chatbot, can also help direct customers to a real-life
representative who is better equipped to answer their questions and thus improve their user
experience. The most common Chatgpt.
These have greatly influenced the world by making it easier for us to do certain things. However,
it can also present certain detriments to the human being, butalso is a benefit to the world itself.
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Conclusion
Contemplate all we have seen, we can conclude that computer science such as artificial
intelligence has started to gain ground in companies whose employees spend a lot of time on
manual activities as processing queries, calculations, data entry or file maintenance. Among the
jobs most susceptible to automation are those outsourced by companies: for example, those
who review tax returns and fill charts and tables with numbers on a daily basis to generate
data and comparative analysis. The impact of AI on job creation and job loss is often
misunderstood. We can see throughout history that human beings have improved their
environment and have facilitated many jobs, the main idea of creating new tools is that: to
make easier a task that previously demanded a lot of effort, an example of this can be the
automobile, with its help it is easier to move long distances, more comfortable and with less
effort. It is a tool that we must know how to take advantage of, especially computer engineers
who make greater use of technology. The advances presented by this technology are very
impressive, however, there is still a long way to go. Often specialized for a specific type of
problem, general-purpose AI is still at an early stage. At present, AI in many businesses still
requires human supervision. The jobs that AI is starting to take over are those that are
repetitive and in which decision making is basic, so these types of jobs are also the most
boring. It's not easy to adapt to change, but we have to try and still standing to renew
ourselves.
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Bibliography:
⚫
Artificial Intelligence: A Modern Approach (Authors: Peter Norvig, Stuart
H.Russell). First Edition 1995 - third edition December 11th, 2009.
⚫
Usos y ejemplos de la Inteligencia Artificial (IA) para empresas. (Author: Deusens)
September 21st, 2023.
⚫
¿Puede la inteligencia artificial acabar con la civilización humana? (Author: National
Geographic’s book) April 21st, 2023.
⚫
Computer Science: An Overview, Global Edition (Authors: J. Glenn
Brookshear, Dennis Brylow) February 16, 2006
⚫
Russell, S., & Norvig, P. (1995). Artificial Intelligence. A modern approach (1st
Edit.). Prentice Hall.
⚫
Russell, S., & Norvig, P. (2004). Inteligencia Artificial. Un enfoque moderno (2da
Edició). Madrid: Pearson Educación
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