Current Trends on Technological Innovation: AI Analysis and Report

This report provides a comprehensive overview of current trends in Artificial Intelligence (AI). It explores the fundamental concepts of AI, including its definition, types (reactive machines, limited memory, theory of mind, and self-awareness), and applications across various sectors such as e-commerce, transportation, healthcare, finance, social media, and education. The report also highlights the advantages of AI, such as its ability to make data-driven decisions, automate tasks, and enhance efficiency, while also addressing the disadvantages, including the high costs, potential for unemployment, and limitations in innovation. Furthermore, the report examines the role of AI in business information, emphasizing its benefits in improving customer satisfaction, preventing fraud, and enhancing overall business performance. The conclusion underscores the importance of the human-technology relationship in modern society and the central role of AI in building computational intelligence models.

Running head: CURRENT TRENDS ON TECHNOLOGICAL INNOVATION – AI
CURRENT TRENDS ON TECHNOLOGICAL INNOVATION – AI
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1CURRENT TRENDS ON TECHNOLOGICAL INNOVATION – AI
Introduction:-
It looks that each year persons turn progressively toward living their existence over
technology. It has inundated culture, relations, professions, and lives. Some increasing trends
that, in specific ways, intersect each other are specially connected to living in a technology
world. These developments are essential to learners because many learners depend on modern
technology (Müller and Bostrom 2016). Technology developments can drive substantial
disruption and provide significant prospects. Digital trends like as autonomous things, digital
twins, blockchain, and the smart world are rapidly upcoming maturity.
This constant technology improvement will assist the arrangement of the digital and
physical world and generate reasonable benefits for some. Internet and technology both are very
relatable terms for modern society. In the present time, much modern technological innovation is
creating societal development. There are some innovative trends such as IoT, Artificial
intelligence, machine learning, edge computing, and 5G internet technology. These types of
modern trends are useful for different purposes. In modern times human society is brilliant, and
the Internet of things creates a proper development for this smart world. In modern times human
health is also secure for technical innovation. In this report are describing the one particular
trends of modern technological innovation, and that is Artificial intelligence.
Discussion:-
Artificial Intelligence:-
Basic idea:-
Ai is a comprehensive division of computer science concerned with construction smart
technologies capable of executing tasks that characteristically involve human intelligence. It is

2CURRENT TRENDS ON TECHNOLOGICAL INNOVATION – AI
an interdisciplinary knowledge with several methods, but improvements in deep learning and
machine learning are making a model shift in virtually every sector of the technology industry.
AI is a human intelligence simulation by machines. It is possibly the fastest increasing
improvement in the universe of technology and invention.
Moreover, many specialists believe that artificial intelligence could resolve major
experiments and crisis conditions. These systems are currently in the routine application in
medicine, economics, military, engineering as well as being constructed into many common
software applications, outdated strategy games like video games (Topol 2019). AI provides
machines the ability to judge and think, create decisions, and self-correct, just like the persons.
Many machines that have AI still want a portion of human involvement to execute activities
proficiently and successfully.
Types:-
The four types of artificial intelligence are limited memory, reactive machines, self-
awareness, and theory of mind.
Limited memory:-
This category of AI is mostly applied in self-driving vehicles. They will discover the
vehicle’s movement around them continuously (Samek, Wiegand and Müller 2017). The static
information like traffic lights, lane marks, and any turns in the road will be added to the
intelligence machine. This supports autonomous vehicles to evade getting hit by another close
vehicle. Approximately, it will take 1.5 minutes for an AI system to create considered choices in
self-driving.

3CURRENT TRENDS ON TECHNOLOGICAL INNOVATION – AI
Reactive machine:-
The basic categories of artificial intelligence systems are pretty reactive, and they are
unable to apply previous capabilities to advise present decisions and to organize memories.
IBM's chess-playing processor named Deep Blue beat Garry Kasparov, who is a worldwide
grandmaster in chess. Similarly, “Google’s Alpha Go” beaten the top human Go specialists, but
it cannot assess every upcoming move (Konar 2018). Its analysis method is more progressive
than Deep Blue’s by applying an ANN to assess the game improvements. These mechanisms
definitely cannot apply past capabilities to notify future ones. It investigates all promising
replacements and selects the best one.
Self-awareness:-
Self-aware artificial intelligence is a complement of the concept of mind AI. This
category of AI is not established yet, but when it occurs, it can construct illustrations about
themselves (Cellan-Jones 2014). It means specific devices are adjusted into cues from persons
like attention periods, feelings, and also able to show self-driven responses.
Theory of mind:-
This type of AI is very progressive technology. According to the psychological formula,
the theory of mind denotes the people's understandings and things in the world that can have
excitements that modify their behavior. Still, this category of AI has not been established entirely
in public (Russell, Dewey and Tegmark 2015). However, research displays that the technique to
make developments is to initiate by increasing robots that are capable of classifying face and eye
movements and performing according to the expressions.

4CURRENT TRENDS ON TECHNOLOGICAL INNOVATION – AI
Application:-
AI has several applications in today's civilization. It is becoming essential for today's
time as it can explain complex difficulties with an effective way in several industries, like
entertainment, healthcare, education, finance is creating everyday human life more relaxed and
fast.
E-commerce:-
AI is delivering a reasonable superiority to the e-commerce sector, and it is becoming
more challenging in the e-commerce industry. Artificial intelligence is assisting customers in
realizing related products with suggested color, size, or brand.
Transport and travel:-
It is becoming extremely well demanding for travel businesses. AI is adept at doing
several travel connected works like from creating travel arrangements to signifying the flights,
hotels, and best ways to the clients (Ghahramani 2015). Travel businesses are applying AI-
powered chatbots, which can create human-like collaboration with clients for enhanced and fast
reaction.
Data security:-
The safety of data is vital for each company, and cyber-attacks are rising very quickly in
the digital universe. AI can be applied to create user data more secure and safe. Some instances,
like as AI2 Platform, AEG bot are applied to regulate cyber-attacks and software bugs in an
improved way.
Healthcare:-

5CURRENT TRENDS ON TECHNOLOGICAL INNOVATION – AI
Healthcare organizations are using AI to create a faster and better diagnosis than persons
(Hamet and Tremblay 2017). AI can assist medical specialists with diagnoses and can notify
when patients are deteriorating so that medicinal help can reach to the person before
hospitalization.
Finance:-
Finance and AI businesses are the most significant matches for each other. The
investment industry is applying chatbots, automation, algorithm trading, adaptive intelligence,
and machine learning into economic procedures.
Social media:-
Social Media websites like Twitter, Facebook, and snap-chat cover any number of user
profiles, which want to be kept and handled in a very effective technique (Nilsson 2014). AI can
establish and manage massive data amounts. AI can examine lots of information to categorize
modern trends, hashtags, and the necessity of several users.
Education:-
AI can systematize grading so that the teacher can have any time to explain. AI chatbots
can interconnect with learners as a schooling assistant.AI in the upcoming can be work as an
individual virtual tutor for learners, which will be manageable easily at any place and at any
time.
Advantages:-
The machine takes judgment based on earlier data evidence. With algorithms, the
probabilities of mistakes are decreasing. This is a realization, as explaining complex difficulties

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involve intricate design that can be completed without any mistake (Bostrom and Yudkowsky
2014). Business authorities use digital supporters to interrelate with their operators, and this
supports them to save sufficient time. The demand for operator’s trades is satisfied, and thus they
. do not have to wait. They are automated to contribute the best probable support to an operator.
Human protection is taken attention of by these machines. Safety is susceptible, and with
technologies that are built-in with predefined procedures, this can be applied. Scientists apply
intricate machines to study the oceanic floor, where human survival becomes problematic
(Cohen and Feigenbaum, 2014). The AI reaches the place where persons cannot reach. Thus, it
supports to resolve issues in a moment.
The AI machine does not get exhausted, even if it has to work many times. This is the
main advantage over persons who want a break from time to time to be effective (Barr and
Feigenbaum 2014). Though in the circumstance of machines, their effectiveness is not affected
by any outside factor and it does not become in the technique of constant work.
Disadvantages:-
It is factual that AI comes with a considerable cost. It needs enormous budgets as it is a
multifaceted machine. Apart from the fitting cost, its maintenance and repair also need huge
expenses. The software frames want frequent up-gradation and provide to the requirements of the
changing environment.
Unemployment is dangerous and can have severe concerns. With capital concentrated
technologies, human-intensive supplies have reduced in some businesses (Lu et al. 2018). If, in
the upcoming, human beings do not improve their abilities, then in no time, the user can
understand that they will be exchanged with machines. The main concern of the GDP being

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motionless or not growing at the predictable rate is redundancy. Persons do not take the required
skills that are in the claim. There are a vast demand and source gap since of this.
AI Machines cannot be innovative. They only work according to the command and
program language. Though they aid in creating and designing, they cannot equalize the effort of
a human brain (Wenger 2014). The human being is watching and manage some extraordinary
situations with their experience and logic, but the AI machines cannot perform anything without
their command instruction. Machines are not capable of modifying their replies to moving
atmospheres. The people are continually attacked by the interrogation of whether it is
undoubtedly exciting to substitute beings with machines.
AI and Business Information:-
In modern times many business authorities are applying artificial intelligence for more
business benefit. AI machines are more effective than persons. They can work any time, and they
do not rest, do not want pauses, and do not get tired. This means business authority can trust on
them to inform them about significant events actual at the instant. AI can scrutinize massive
amounts of information in the fraction of a second.
This trending technology can also receipt repetitive works away from persons but
systematizing routine work (Gunning 2017). AI systems help businesses gain a reasonable
benefit by making better services and product personalized to their clients, decrease the risk of
disasters or interruption, decrease costs thanks to analytical maintenance, enhance operational
effectiveness, improve security and agreement, rapidly process information, and to get a strong
understanding of their clients. Customer satisfaction is one of the main targets for any small or
large business. The procedure of AI can help to create appropriate client satisfaction for any
specific business.

8CURRENT TRENDS ON TECHNOLOGICAL INNOVATION – AI
The term "fraud" is a very much common word in the current business market. The
business authority and customers are both affected by these fraudulent activities. That is the
reason modern technology is inventing artificial intelligence concepts, which can be helpful to
avoid all fraudulent activities. Enterprises that use AI-enhanced techniques are anticipated to
become more varied, as the requirements for the capability to evaluate information across several
variables, fraud recognition, and CRM develop as essential business drivers to increase
competitive benefit. AI is a division of Science which contracts with assisting machines, finds
explanations to complex difficulties in a further human-like approach.
Presently, the method is applied mostly to investigate information for medicinal and other
systematic research. It is seeing slight use in CRM currently, though it has an incredible
perspective in the upcoming AI-enhanced analytics curriculums also delivers survival
demonstrating abilities suggesting modifications to products based on the procedure. Financial
sectors can get an advantage of AI-based development automation and fraud recognition.
Logistics businesses can apply artificial intelligence for the better account and distribution
management. The marketing industry can map customer activities using AI. Utilities can apply
smart grids and smart meters to reduce power consumption.
Conclusion:-
In modern time, human and technology relationship is very much useful for society. AI is
at the midpoint of new businesses to build computational intelligence models. The central
hypothesis is that intelligence can be symbolized in terms of symbolic processes that can be
commanded in a digital processor. Features of exceptional performance, like resolving problems,
implications, learning, have previously been implied as to the logic programs. Now the great
concern of AI is to discover techniques of representing the conscious awareness and skill that

9CURRENT TRENDS ON TECHNOLOGICAL INNOVATION – AI
enable persons to carry out daily activities like as holding an extensive conversation. In the end,
the writer has been in this report through AI explanations, AI applications, AI types, and roles in
the commercial industry. In it is short presence, AI has improved understanding of the
intelligence and delivered a remarkable application array in an extensive range of capacities.

10CURRENT TRENDS ON TECHNOLOGICAL INNOVATION – AI
References:-
Barr, A. and Feigenbaum, E.A. eds., 2014. The handbook of artificial intelligence (Vol. 2).
Butterworth-Heinemann.
Bostrom, N. and Yudkowsky, E., 2014. The ethics of artificial intelligence. The Cambridge
handbook of artificial intelligence, 1, pp.316-334.
Cellan-Jones, R., 2014. Stephen Hawking warns artificial intelligence could end mankind. BBC
news, 2, p.2014.
Cohen, P.R. and Feigenbaum, E.A. eds., 2014. The handbook of artificial intelligence (Vol. 3).
Butterworth-Heinemann.
Ghahramani, Z., 2015. Probabilistic machine learning and artificial intelligence. Nature,
521(7553), pp.452-459.
Gunning, D., 2017. Explainable artificial intelligence (xai). Defense Advanced Research Projects
Agency (DARPA), nd Web, 2.
Hamet, P. and Tremblay, J., 2017. Artificial intelligence in medicine. Metabolism, 69, pp.S36-
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Konar, A., 2018. Artificial intelligence and soft computing: behavioral and cognitive modeling
of the human brain. CRC press.
Lu, H., Li, Y., Chen, M., Kim, H. and Serikawa, S., 2018. Brain intelligence: go beyond artificial
intelligence. Mobile Networks and Applications, 23(2), pp.368-375.

11CURRENT TRENDS ON TECHNOLOGICAL INNOVATION – AI
Müller, V.C. and Bostrom, N., 2016. Future progress in artificial intelligence: A survey of expert
opinion. In Fundamental issues of artificial intelligence (pp. 555-572). Springer, Cham.
Nilsson, N.J., 2014. Principles of artificial intelligence. Morgan Kaufmann.
Russell, S., Dewey, D. and Tegmark, M., 2015. Research priorities for robust and beneficial
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Samek, W., Wiegand, T. and Müller, K.R., 2017. Explainable artificial intelligence:
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Topol, E.J., 2019. High-performance medicine: the convergence of human and artificial
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Wenger, E., 2014. Artificial intelligence and tutoring systems: computational and cognitive
approaches to the communication of knowledge. Morgan Kaufmann.