Artificial IntelligenceNavya Reddy Karnati (556139)Ven.docx

Artificial Intelligence
Navya Reddy Karnati (556139)
Venkateshwara Reddy Allu (559524)
Savan Ramparaiya (554616)
Sreehasha sunkara (548576)
Sai Venkat rathan Ravula (550732)
BA63473H4
Introduction:
Artificial intelligence is a new development platform which is
able to make tasks with human intelligence. Artificial
intelligence plays an important role in coming future to make
things much faster without human force. There are lot of
advantages using the artificial intelligence. Here the advantages
below explained in detail. Here are the examples AI can
perform tasks like visual identification, speech recognition,
making the decisions and language translations.
Before knowing more about the Artificial intelligence, we need
to know about the intelligence, types and components of
intelligence.
What is Intelligence?
it is an ability to perform a task or an activity to learn from the
experience, store and retrieve information from memory,
resolve issues and adopt new situations. There are different
types of intelligence detailed in below.
Here are the types below. Linguistic intelligence, Musical
intelligence, logical mathematical intelligence, spatial
intelligence, Bodily-Kinesthetic intelligence , Intra-personal
intelligence, Interpersonal intelligence.

There are more real life examples with use of Artificial
intelligence. One of the famous motor company TESLA has
announced self-driving cars that are going to drive with using
human intelligence so person may not be needed to drive any
vehicle. This is the most trending innovation with the help of
artificial intelligence. Another important feature here is
Navigation System. This is also an important feature that helps
us to reach any destination with the help artificial intelligence.
With the help of artificial intelligence designing robots which
will he be helpful to control terrorist attacks without human
force. Robots can be much helpful for the military. Google is
also working on the artificial intelligence feature which will be
helpful to the public in the form of providing benefits to the
common people. There are several google applications
everybody is using in today’s world like google maps, drive for
sharing the data in the cloud and securing the data and back up
the data. To conclude there are many more advantages using the
artificial intelligence which can perform the tasks with human
intelligence and also explained the real time examples detailed
above.
Here are some weak points about the Artificial intelligence. The
most weak point about the machine learning is , machines with
weak Artificial intelligence are made to respond to specific
situations but cannot think for themselves. On the other hand,
there are more points about the artificial intelligence. A
machine with strong Artificial intelligence is able to think and
just act like a human which is an extra ordinary thing. The best
real time example here is how the Hollywood movies can have
portrayed their movies with the help of Artificial intelligence.
So, Machine learning is an important application of artificial
intelligence which can perform tasks and execute them using the
machines ability to perform tasks without help of humans or
programming.
The major benefits of of Artificial intelligence is to reduce the
human force and perform the tasks.
· Wars

· Dangerous Workspaces
· Car accidents
· Natural accidents
Including below tasks such as,
Cleaning, Shopping and transportation etc.
Artificial Intelligence (AI) has gotten expanded consideration
lately. Development, made conceivable through the Internet, has
conveyed AI closer to our regular day to day existences. These
advances, close by enthusiasm for the innovation's potential
financial and moral effects, conveys AI to the front line of
numerous contemporary discussions. Industry interests in AI are
quickly expanding, and governments are endeavoring to
comprehend what the innovation could mean for their nationals.
The gathering of "Enormous Data" and the extension of the
Internet of Things (IoT), has made an ideal domain for new AI
applications and administrations to develop. Applications
dependent on AI are as of now unmistakable in social insurance
diagnostics, directed treatment, transportation, open security,
benefit robots, instruction and diversion, yet will be connected
in more fields in the coming years. Together with the Internet,
AI changes the manner in which we encounter the world and can
possibly be another motor for financial development.
Current Uses of AI:
Albeit man-made reasoning summons considerations of sci-fi,
man-made reasoning as of now has numerous utilizations today,
for instance:
Email separating: Email administrations utilize man-made
reasoning to channel approaching messages. Customers can set
up their spam channels by stepping messages as "spam".
Personalization: Online administrations utilize man-made
consciousness to customize your experience. Administrations,
like Amazon or Netflix, "learn" from your past buys and the
buys of different clients so as to prescribe applicable substance
for you.
Extortion identification: Banks utilize computerized reasoning
to decide whether there is peculiar movement for you. Startling

action, for example, remote exchanges, could be hailed by the
calculation.
Discourse acknowledgment: Applications utilize computerized
reasoning to enhance discourse acknowledgment capacities.
Models incorporate keen individual colleagues, for example
Amazon's "Alexa" or Apple's "Siri".
1 Someone's knowledge is their capacity to comprehend and
learn things.
2 Intelligence is the capacity to think and comprehend as
opposed to getting things done by sense or consequently.
In this way, as indicated by the principal definition, knowledge
is the quality controlled by people. Be that as it may, the second
definition recommends a totally unique methodology and gives
some adaptability; it doesn't indicate whether it is somebody or
something that can think and get it. Presently we ought to find
what thinking implies. Give us a chance to counsel our lexicon
once more. Believing is the action of thinking carefully to think
about an issue or to make a thought.
Turing did not give meanings of machines and considering, he
just kept away from semantic contentions by concocting a
diversion, the Turing impersonation amusement. of asking, 'Can
machines think?', Turing said we ought to ask, 'Can machines
pass a conduct test for insight?' He anticipated that constantly
2000, a PC could be modified to have a discussion with a human
investigative specialist for five minutes and would have a 30
percent possibility of deluding the examiner that it was a
human. Turing characterized the astute conduct of a PC as the
capacity to accomplish the human-level execution in intellectual
undertakings. In other words, a PC finishes the test if
investigative specialists can't recognize the machine from a
human based on the solutions to their inquiries.
The impersonation amusement proposed by Turing initially
included two stages. In the principal stage, the investigative

specialist, a man and a lady are each set in discrete rooms and
can impart just through an unbiased medium for example, a
remote terminal. The cross-examiner’s goal is to work out who
is the man and who is the lady by addressing them. The
principles of the diversion are that the man should endeavor to
swindle the cross examiner that he is the lady, while the lady
needs to persuade the questioner that she is the lady.
2nd ARTICLE: A Modern Approach to Distributed Artificial
Intelligence
the field of distributed artificial intelligence (DAT), an
indispensable sub field of AI, has encountered exponential
development in the regions of innovative work. DAI is
principally worried about frameworks that comprise of various
free substances that cooperate with one another in complex
issue spaces. The exploration zone of DAT has been isolated
into two sub-disciplines:
Distributed Problem Solving (DPS) and Multi operator Systems
(MAS). The focal point of DPS is on the
data the board parts of frameworks where a few operators are
cooperating in a conveyed way towards tackling a given issue
and along these lines attempting to accomplish a shared
objective. On the other hand, MAS is related to DPS yet is
profoundly focused on the behavior management angle of
gatherings of a few autonomous elements or savvy specialists
that are cooperating with one another in a given issue space.
Scientists in the region of MAS are fundamentally keen on
concentrate the connections of computational savvy operators.
These specialists speak to certifiable elements and have
distinctive inclination structure. The key research objective in
the territory of MAS is to configuration disseminated
frameworks that lead to all inclusive attractive results for any
issue area. An intriguing idea of MAS is that the partaking
savvy operators can consider their own great and hence may act
deceitfully.
Furthermore, their interactions can be either agreeable or
selfish, whereby each wise operator can

either share a shared objective or can rehearse its very own
advantages. The fruitful execution of MAS
specialists have been encouraged through exploring basic
segments, for example, operator correspondences dialects,
communication conventions and operator models. Because of
the interdisciplinary idea of the field, specialists in the region
of MAS investigate on ideas and models from numerous orders
outside of AT, including brain science, financial aspects,
reasoning, association and the board science. MAS innovation
isn't only an idea but instead it has several applications in the
workforce and has been effectively actualized in territories, for
example, organizing, working frameworks, advertising, back,
assembling, and coordination’s.
The first article I preferred was written by author” Indrasen
Poola ”. This article was titled as “How AI is impacting real life
every day”. Theoretically speaking the author has justified the
title. In this paper he covers topics such as
1) Methodology
2) Findings of automated transport system
3) Involvement in dangerous jobs
4) Computerized methods
5) Reducing human effect
6) Time saving, ECT
These are the 6 major things mentioned in the paper. Well as we
are writing the summary I would like to discuss only the points
that I liked. This paper talks about AI with self-driving cars.
These cars still need a handler if in case something goes wrong
but this is how AI Is being developed.
AI can also be involved in hazardous jobs. Advanced robots are
used instead of humans to deal with hazardous stuff. A few
things mentioned in this paper are in the paper. AI was used to
build advance robots and these robots are used to defuse bombs
in the army. This advancement has saved the life of many
solders. This was designed by the key idea of the robots has
nothing to fear. There are many places where AI is also being
used. For example, GPS, Data mining, smart phone technology,

ETC. with time AI has also been updating itself. Its has updated
a lot and this paper only explains the basics of AI. After the AI
came into act it has also reduced the effect of hard work a
person can put into. Ai can also be used to save time. For
example, consider Automobile industry. The assembly line was
completely automated. Only a supervisor will be supervising for
any flaws in the machinery and he rest is automated. This is one
use of AI. The author had concluded saying that the AI has
substantially changed and improved our way of life. Well this
paper is just a rough introduction of AI and its implementations.
Article 2
The second article I selected was “the internet, intranets and the
AI renaissance” and was written by author “Daniel E. O’Leary”.
This paper explains how the AI can be used on the internet.
According to thi paper It claims that few people think AI was a
new branch of computers that deals with something else. But AI
had its first application even 40 years back. The paper also
explains that Ai may not be suitable with small applications but
with an Application like WWW it is the perfect tool to search
the search engine. The author has also mentioned how this
search engine can be slowed down by the number of increasing
users. Now it’s time to implement AI in WWW too. There are
many advantages by using the AI in the world wide web. Some
of the topics mentioned by the author were,
1) Intelligent Browsing
2) Intelligent agents
3) Special purpose agents
4) General purpose agents
There are also other topics covered such as using of the
intelligent browsing of large databases, intelligent helpdesks
ETC. These are the two papers that I have read on AI and could
contribute more to this topic. But due to the time and word
limitations I have to just confine it to he outline. We can say
that now A is in every part of our life. This is my contribution
for this assignment.
Article 1:

Artificial intelligence (AI) commonly refers to the use of
computer science skills to create
applications and software’s that enables a machine to perform
human-like tasks example speech
recognition. The AI of today has evolved to the extent of robot
imitating human intelligence. Thus they
(robots) are able to perform a task that require thinking and
learning. AI is making shuman dependence
on technology to increase daily.
Although AI replicas man’s mind they significantly differ,
robots are created for a specific task,
while the human brain is made with sophisticated ability to
multi-task. Despite the robots portraying
human characteristics, they fail at a point due to human-
computer difference unlike with fellow human.
Hence, robots improve material circumstances rather than a
human replacement.
Today’s artificial intelligence can perform a wide range of tasks
by utilizing GPS and check-
scanning machines. In business, the computers perform huge
data analysis and complex mathematical
calculations. In the medical field, they are used to perform
delicate surgical operations. Artificial
intelligence help in research where human survival is difficult,
example space exploration.
Though the technology is helpful it is posing challenges to
human co-existence, human life will
soon be autonomous and will entirely depend on technology
forcing the generation to be jobless. The
development of sophisticated weapons through artificial
intelligence is a threat the global security. To
counter the challenge a symbolic approach with weak
formalized representation with meaning should
be developed. With these rate of innovation, the future AI will
be concerned with facial recognition,
improving speech and providing personal aid to automate a

system fully
Article 2:
Artificial intelligence is the technological innovation enabling
human simulation by machines. The
simulation goes to the extent of learning information and using
information rules to perform a specific
role. John MacCarthy invented the word artificial intelligence
AI is categorized as narrow or weak and
strong AI depending on the level of human intervention. The
simulation ability of AI is used by man to
his advantage either to make a decision or to solve a problem.
There are several agents of action. They are software’s that
gather information and then
execute the operation they include robots, a factory, a web
shopping program, and a traffic control
system. They achieve the effect by algorithm method of solving
a problem. They can be used in
mathematical calculations and also data computing.
Many fields have adopted the technology for their advantage. AI
is being used in sport as
wearables are being used to analyze a player’s workload
technique and strength. AI is being used in
business strategically analyze market trend to enable the
organization to venture more in the market.
The companies are using the technique to compute their huge
transaction data.
Regardless of the benefits, the technology is being associated
with it threatens the existence of
human civilization due to workforce replacement. Global
leaders have acknowledged AI technology.
Many countries like Finland and China have heavily invested in
it. The paper brings about the need for
the government to sustain and control AI technology not to
cause adverse effects like weapon

manufacturing and joblessness.
Internet has been used by many people for connections. These
connections are made using
devices. However, nowadays there are multiple devices that are
connected for performing tasks. people, even devices will have
their own networks in the Internet. One person can have
multiple devices that which can be used by connecting to the
Internet. Hence, it is not only people but also devices need to be
interconnected and this interconnection of networks are in
called as the Internet of things. These devices communicate
with the world using the Internet protocol and it collects the
information and this information is then transformed into
intelligent information. In an IoT system cloud computing is a
very feasible option as it provides huge storage capacity and it
also provides an easy way for accessing data and analyzing and
decision making. For an intelligent IoT environment, good
quality of the data collection by smart devices is extremely
required. The ability to collect a large amount of data is the
most important factor when it comes to an IoT. The network of
IoT it is possible to form various modes of communication to
perform an activity, such as D2D (device to device) where all
the information is handled between one device to another. IoT
uses two different types of operating networks to connect these
devices, constrained and unconstrained networks. In constrained
network devices with low memory, power and data rate are
used, unconstrained devices use to capture physical data to
perform a task autonomously. D2D communication is
fundamental in IoT, it also provides robustness and leverage to
the networks. The heterogeneous nature of the IoT needs the
D2D communication to be intelligent, which is the ability of the
device to be aware of the operating environment and from where
the data is collected to the process. the common D2D
communication technologies are Bluetooth, Wi-Fi, ZigBee and
cellular networks. As there are many devices connected in IoT
infrastructure, these devices will compete for access to the
frequency spectrum. Hence, to avoid starvation and ensure

efficient turns fir accessing the spectrum there needs to be some
mechanism such as sharing the frequency among the traffic
using certain types of criteria for selecting frequency by
scheduling within the network. As there are several devices that
are connected in IoT infrastructure, security becomes a
challenge. The data exchanged between the devices can be
private and confidential.
Paper 2 summary
Artificial intelligence videos from computer task that acquired
knowledge analysis and reasoning and understanding repeat
process fun stuff there are two ways to implement artificial
intelligence GameStop when is based on symbolism and is
connectionism artificial intelligence uses machine-learning
improve its performance over time. It uses the new Knowledge
and Skills acquired by a machine learning to understand the
previous knowledge and create a relatable equation. machine
learning the keyboard function is used for adding weight to
certain learnings or equation Flintstone every time the equation
between the previous analysis and the current analysis is proved
to be correct weight is added to that particular relation in
upcoming process this weight can be used for understanding the
equation that should be used mostly the equation which has
higher rate is used in every case French toast another feature of
machine learning is teacher learning negative feedback is used
for correction of the analysis. teachers learning is also used for
providing information from one model to another for example of
Higher Learning module can provide a teacher aspect to
learning module. There are two types of instruction systems
one. Computer-assisted instruction system to the intelligent
computer-assisted instruction system. In computer assisted
instruction system a programmed instruction is used for
instructing the operating system for the task to be performed
programmatically. Intelligent computer-assisted instruction
system is adding AI techniques to the previous instruction set.

It is used for analyzing and increasing the performance in order
to develop individualized tutoring strategies. there are two
components for this one is Problem solving and the second is
Student model Tutoring. problem solving module contains the
knowledge the student model contains the information and it
tries to understand what the problem is. Tutoring model is the
model which is going to understand the problem, find a
solution, and give a reasoning for the suggested solution.
References
Pottala, M. (2018). Artificial Intelligence: Artificial
Intelligence in Sports.
Shabbir, J., & Anwer, T. (2018). Artificial Intelligence and
its Role in Near Future. arXiv preprint
Navy
a Reddy Karnati (556139)
Sreehasha sunkara
(548576)

BA63473H4
Navya Reddy Karnati (556139)
Sreehasha sunkara (548576)
BA63473H4

Artificial IntelligenceNavya Reddy Karnati (556139)Ven.docx

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