The document discusses the use of artificial intelligence in automobiles. It begins by defining artificial intelligence and discussing early research in the field. It then outlines several problems with modern automobiles like vehicle accidents, theft, driver distractions, and maintenance issues. The document proposes several solutions that artificial intelligence could provide, including driverless cars, driver assistance features, using cloud computing and the internet of things. It discusses how AI could enhance infotainment systems and enable more intelligent risk insurance assessments. Finally, it addresses some potential merits and demerits of integrating artificial intelligence into automobiles.
A Comprehensive Study On The Evolution And Advantages Of AI.pdfDataSpace Academy
AI is undoubtedly a major defining force of the 21st Century. However, although revolutionary technology is becoming a buzzword in contemporary times its inception happened early in the 1940s. Cut to 2024, the cutting-edge technology is making huge strides in almost every sector of life and for amazing reasons. The blog here sheds light on all the major aspects of AI, ranging from evolution to types to advantages of AI, limitations, and more. The blog also talks about the multiple use cases of Artificial Intelligence as well as future prospects.
This document provides an overview of artificial intelligence (AI), including definitions, a history of AI, current applications and challenges. It begins with definitions of AI and discusses early milestones like the first AI conference in 1956 and Deep Blue defeating a chess champion in 1997. It outlines current progress in deep learning, natural language processing, robotics and autonomous vehicles. Key challenges are biases in data, lack of transparency in models, issues with data availability and security/privacy. The future of AI is discussed in terms of advancements in deep learning, increased healthcare applications, and focus on ethics.
This document provides an overview of artificial intelligence (AI). It begins with definitions of intelligence and AI. It then discusses the central principles of AI, including reasoning, knowledge, planning, learning, communication, perception and manipulation. Applications of AI discussed include healthcare, music, scheduling, robotics, gaming and finance. Advantages include more powerful computers and interfaces, while disadvantages include costs and software challenges. The document concludes that as biological intelligence is fixed, AI provides an exponentially growing new paradigm and will change the world. It received citations.
This document provides an overview of artificial intelligence (AI) including definitions of different types of AI, a brief history of AI, potential application fields and use cases, and the future outlook for AI. It defines AI as ranging from everyday applications to self-driving cars. It discusses narrow AI, general AI, and superintelligence. The document also summarizes key milestones in the development of AI from 1955 to the present and potential opportunities and challenges of AI including automation, ethics, and politics. It provides examples of Austrian AI startups and their technologies. The outlook suggests that human-level AI may be achieved by 2040 and superintelligence by 2060 with impacts on robotics, climate change, human enhancement, and autonomous
Artificial intelligence, machine learning, and deep learning are related concepts in the field of artificial intelligence. Machine learning is a subset of AI that uses algorithms to learn from data and make predictions without being explicitly programmed, while deep learning is a specific type of machine learning that uses neural networks. The document provides definitions and examples of these concepts to help explain the differences between them.
A Comprehensive Study On The Evolution And Advantages Of AI.pdfDataSpace Academy
AI is undoubtedly a major defining force of the 21st Century. However, although revolutionary technology is becoming a buzzword in contemporary times its inception happened early in the 1940s. Cut to 2024, the cutting-edge technology is making huge strides in almost every sector of life and for amazing reasons. The blog here sheds light on all the major aspects of AI, ranging from evolution to types to advantages of AI, limitations, and more. The blog also talks about the multiple use cases of Artificial Intelligence as well as future prospects.
This document provides an overview of artificial intelligence (AI), including definitions, a history of AI, current applications and challenges. It begins with definitions of AI and discusses early milestones like the first AI conference in 1956 and Deep Blue defeating a chess champion in 1997. It outlines current progress in deep learning, natural language processing, robotics and autonomous vehicles. Key challenges are biases in data, lack of transparency in models, issues with data availability and security/privacy. The future of AI is discussed in terms of advancements in deep learning, increased healthcare applications, and focus on ethics.
This document provides an overview of artificial intelligence (AI). It begins with definitions of intelligence and AI. It then discusses the central principles of AI, including reasoning, knowledge, planning, learning, communication, perception and manipulation. Applications of AI discussed include healthcare, music, scheduling, robotics, gaming and finance. Advantages include more powerful computers and interfaces, while disadvantages include costs and software challenges. The document concludes that as biological intelligence is fixed, AI provides an exponentially growing new paradigm and will change the world. It received citations.
This document provides an overview of artificial intelligence (AI) including definitions of different types of AI, a brief history of AI, potential application fields and use cases, and the future outlook for AI. It defines AI as ranging from everyday applications to self-driving cars. It discusses narrow AI, general AI, and superintelligence. The document also summarizes key milestones in the development of AI from 1955 to the present and potential opportunities and challenges of AI including automation, ethics, and politics. It provides examples of Austrian AI startups and their technologies. The outlook suggests that human-level AI may be achieved by 2040 and superintelligence by 2060 with impacts on robotics, climate change, human enhancement, and autonomous
Artificial intelligence, machine learning, and deep learning are related concepts in the field of artificial intelligence. Machine learning is a subset of AI that uses algorithms to learn from data and make predictions without being explicitly programmed, while deep learning is a specific type of machine learning that uses neural networks. The document provides definitions and examples of these concepts to help explain the differences between them.
The document provides an overview of artificial intelligence (AI), including definitions, a brief history, applications, advantages, disadvantages and programming languages used in AI. It defines AI as the development of computer systems able to perform tasks normally requiring human intelligence. The document outlines the history of AI from early works in the 1940s to current applications. It discusses advantages like reducing human error and disadvantages like potential job losses. Finally, it examines popular programming languages for AI like Python, R, Java and Prolog.
This document is a project report on the topic of artificial intelligence and whether it is a boon or bane. It includes an introduction on AI, a brief history of AI, the importance and features of AI, as well as the advantages and disadvantages. The report discusses findings from the study, suggestions, the objective and methodology. It concludes that AI could potentially threaten humanity if its social impacts are ignored and not properly addressed through policy frameworks.
Addis abeb university ..Artificial intelligence .pptxethiouniverse
The document defines artificial intelligence as the science and engineering of making intelligent machines, especially intelligent computer programs. It discusses that AI is the creation of computer programs that can learn to think and function on their own. The document then provides examples of technologies that use AI, such as machine learning, robotics, and neural networks. It describes the different types of AI as artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. The document also outlines the history of AI and discusses its applications in various domains like agriculture, healthcare, business, and education.
Edelman’s 2019 Artificial Intelligence (AI) Survey compares the U.S. general public’s perceptions of AI with those of senior tech executives who have a front row seat on AI development and deployment.
Respondents in both survey groups clearly see the potential upsides of AI, but also significant problems; 60 percent of the general public and 54 percent of tech executives agree that regulation of AI is critical for its safe development.
While 91 percent of tech executives and 84 percent of the general public believe that AI constitutes the next technology revolution, there are very real concerns about its impact on society, business and government. These range from smart toys that could invade children’s privacy to negative impacts on the poor to a loss of human intellectual capabilities.
About a third of both groups believe AI-powered “deepfake” videos (videos or audio recordings that are doctored to alter reality) could lead to an information war that, in turn, might lead to a shooting war (30 percent of the general population; 33 percent of tech executives).
Among the key findings:
54 percent of the general public and 43 percent of tech executives say AI will hurt the poor, and 67 percent and 75 percent, respectively, believe it will benefit the wealthy;
71 percent of the general public and 65 percent of tech executives worry that AI will lead to a loss of human intellectual capabilities;
74 percent of the general population and 72 percent of tech executives say that smarter AI-powered devices will lessen the need for people to interact with others, leading to more isolation;
81 percent within the general population and 77 percent of tech executives believe that advances in AI will likely cause a reactionary response from a society that feels threatened;
51 percent of the general population and 45 percent of tech executives state that AI-powered deepfake videos could mean that no information is believable and that they are highly corrosive to public trust.
The research was developed by the Edelman AI Center of Expertise with input from the World Economic Forum.
Artificial Intelligence refers to the simulation of human intelligence in the machines that are programmed to think like humans and mimic their actions.
AI is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks from the simplest to those that are even more complex.
When most people hear the term artificial intelligence, the first thing they usually think of is robots. That's because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. But nothing could be further from the truth. Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include mimicking human cognitive activity. Researchers and developers in the field are making surprisingly rapid strides in mimicking activities such as learning, reasoning, and perception, to the extent that these can be concretely defined. Some believe that innovators may soon be able to develop systems that exceed the capacity of humans to learn or reason out any subject. But others remain skeptical because all cognitive activity is laced with value judgments that are subject to human experience.
As technology advances, previous benchmarks that defined artificial intelligence become outdated. For example, machines that calculate basic functions or recognize text through optical character recognition are no longer considered to embody artificial intelligence, since this function is now taken for granted as an inherent computer function.
This document provides a case study on Google DeepMind and artificial intelligence. It discusses DeepMind's work in machine learning, deep reinforcement learning, and its creation of AlphaGo which was able to defeat professional Go players. The document also briefly outlines DeepMind's work in healthcare by collaborating with hospitals to analyze medical scans and develop algorithms to differentiate healthy and cancerous tissues. However, DeepMind's data sharing agreement with the Royal Free London NHS Foundation Trust to access patient medical records without consent was controversial.
5 Amazing Examples of Artificial Intelligence in Actionvenkatvajradhar1
As scientists and researchers are desperately trying to transform Artificial Intelligence (AI) into the mainstream, this ingenious technology is already making its way into our daily lives and perpetuating many industry verticals
AI ppt introduction , advandtage pros and cons.pptxdeepakkrlkr2002
The document discusses artificial intelligence (AI), including definitions of intelligence and AI, comparisons of human and artificial intelligence, applications of AI in various fields like medicine, music, gaming, banking, and telecommunications. It also covers the future growth of AI, advantages and disadvantages of AI, limitations of current AI, and concludes that AI development will significantly change the world if developed responsibly by engineers.
This document provides an introduction to Society 5.0, the fourth industrial revolution, and related technologies such as artificial intelligence. It discusses how these concepts and technologies are impacting research and information professions. Society 5.0 is a vision for a new society that balances economic advancement with addressing social problems through highly integrating cyber and physical spaces. It is linked to concepts like the UN's sustainable development goals. The fourth industrial revolution involves new technologies like AI, robotics, and IoT that are transforming many industries and aspects of modern life. The document discusses various AI technologies and their applications. It also outlines some of the impacts these technologies are having on fields like research and libraries/information professions.
Chapter Three, four, five and six.ppt ITEtxgadisaAdamu
Artificial intelligence (AI) can be summarized as follows:
(1) AI refers to creating intelligent machines that can think and act like humans. It involves machines acquiring knowledge and applying it through experience to solve complex problems.
(2) The key components of human intelligence - learning, reasoning, problem-solving, perception, and linguistic ability - form the basis for developing AI systems.
(3) As data and computing power have increased, AI has advanced from narrow applications to more general problem-solving abilities through techniques like machine learning, neural networks, and deep learning.
The document discusses the 60th anniversary of CCITT/ITU-T and artificial intelligence. It notes that 10 mobile/cloud companies achieving $4 trillion in market cap and that China's AI market is $337 billion. It discusses how AI is driving unprecedented changes through hyper time compression of innovations and extreme convergence across multiple domains. AI is also helping to track progress on the UN's Sustainable Development Goals. The ITU is partnering with IBM Watson on AI initiatives and standards are being discussed. Overall, the document outlines how AI is massively impacting the economy, society and driving disruption through new technologies.
the foreword written by Brad Smith for Microsoft’s report Governing AI: A Blueprint for India. The first part of the report details five ways India could consider policies, laws, and regulations around AI. The second part focuses on Microsoft’s internal commitment to ethical AI, showing how the company is both operationalizing and building a culture of responsible AI. The final part shares case studies from India demonstrating how AI is already helping address major societal issues in the country.
What is Artificial Intelligence? : Everything You Need to Know about AIDashTechnologiesInc
Artificial Intelligence may be a buzzword now, but it’s not a new term. It was coined in 1956 by Minsky and McCarthy. Even though their effort to bring AI into the world’s attention failed, scientists and innovators started researching and developing machines that would mimic humans. In a nutshell;
An overview of Artificial Intelligence (AI) encompasses the field's fundamental concepts, objectives, and applications. AI is a broad and interdisciplinary branch of computer science dedicated to creating systems that can perform tasks typically requiring human intelligence.
Managing Future Impacts of Artificial Narrow, General, and Super Intelligence...Jerome Glenn
Reviews Millennium Project's Work/Technology 2050: Scenarios and Actions plus preparations for an international assessment for global governance of the transition from artificial narrow intelligence to artificial general intelligence
Technology related to artificial intelligence.docxsharjeel aziz
Technology related to artificial intelligence (AI) has advanced significantly in recent years, and it has a very bright future. AI is already altering how we live our lives, from self-driving cars to smart houses. The future of AI technology and its potential effects on society will be discussed in this essay.
This document provides an overview of artificial intelligence (AI), including its history, types, impact, examples and applications. It begins with definitions of AI and discusses its evolution since the 1950s. The types of AI are described as reactive, limited memory, theory of mind and self-aware. The impact and examples of AI are then summarized, covering increased efficiency, job changes, improved decision making and applications in healthcare, transportation and more. Finally, specific applications of AI are outlined in fields like astronomy, gaming, finance, data security and more.
This document provides an overview of artificial intelligence (AI). It discusses the history and goals of AI, as well as its advantages like increased productivity and reduced human error. Potential disadvantages include high costs and a lack of creativity. The future of AI is discussed in relation to healthcare, cybersecurity, employment, and e-commerce. Aviation applications are also summarized, such as using AI to analyze data and introduce auto-pilot modes. In conclusion, AI is seen as the future but must be directed toward useful ends to avoid potential threats.
AI & Innovation, Emerging trends & Future directions in AI.pptxssuser9437e3
Artificial intelligence is being applied in many areas of daily life such as smartphones, social media, music/media streaming, video games, smart homes, security/surveillance, keyboards/apps, healthcare, e-commerce, email, vehicles, drones, banking/finance, online ads, and navigation/travel. Some key applications include personal assistants, recommendations, automation, detection/diagnosis, fraud prevention, translations, and customized experiences based on individual users. AI is already widely used and its applications continue to expand across more industries and services.
The document provides an overview of artificial intelligence (AI), including definitions, a brief history, applications, advantages, disadvantages and programming languages used in AI. It defines AI as the development of computer systems able to perform tasks normally requiring human intelligence. The document outlines the history of AI from early works in the 1940s to current applications. It discusses advantages like reducing human error and disadvantages like potential job losses. Finally, it examines popular programming languages for AI like Python, R, Java and Prolog.
This document is a project report on the topic of artificial intelligence and whether it is a boon or bane. It includes an introduction on AI, a brief history of AI, the importance and features of AI, as well as the advantages and disadvantages. The report discusses findings from the study, suggestions, the objective and methodology. It concludes that AI could potentially threaten humanity if its social impacts are ignored and not properly addressed through policy frameworks.
Addis abeb university ..Artificial intelligence .pptxethiouniverse
The document defines artificial intelligence as the science and engineering of making intelligent machines, especially intelligent computer programs. It discusses that AI is the creation of computer programs that can learn to think and function on their own. The document then provides examples of technologies that use AI, such as machine learning, robotics, and neural networks. It describes the different types of AI as artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. The document also outlines the history of AI and discusses its applications in various domains like agriculture, healthcare, business, and education.
Edelman’s 2019 Artificial Intelligence (AI) Survey compares the U.S. general public’s perceptions of AI with those of senior tech executives who have a front row seat on AI development and deployment.
Respondents in both survey groups clearly see the potential upsides of AI, but also significant problems; 60 percent of the general public and 54 percent of tech executives agree that regulation of AI is critical for its safe development.
While 91 percent of tech executives and 84 percent of the general public believe that AI constitutes the next technology revolution, there are very real concerns about its impact on society, business and government. These range from smart toys that could invade children’s privacy to negative impacts on the poor to a loss of human intellectual capabilities.
About a third of both groups believe AI-powered “deepfake” videos (videos or audio recordings that are doctored to alter reality) could lead to an information war that, in turn, might lead to a shooting war (30 percent of the general population; 33 percent of tech executives).
Among the key findings:
54 percent of the general public and 43 percent of tech executives say AI will hurt the poor, and 67 percent and 75 percent, respectively, believe it will benefit the wealthy;
71 percent of the general public and 65 percent of tech executives worry that AI will lead to a loss of human intellectual capabilities;
74 percent of the general population and 72 percent of tech executives say that smarter AI-powered devices will lessen the need for people to interact with others, leading to more isolation;
81 percent within the general population and 77 percent of tech executives believe that advances in AI will likely cause a reactionary response from a society that feels threatened;
51 percent of the general population and 45 percent of tech executives state that AI-powered deepfake videos could mean that no information is believable and that they are highly corrosive to public trust.
The research was developed by the Edelman AI Center of Expertise with input from the World Economic Forum.
Artificial Intelligence refers to the simulation of human intelligence in the machines that are programmed to think like humans and mimic their actions.
AI is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks from the simplest to those that are even more complex.
When most people hear the term artificial intelligence, the first thing they usually think of is robots. That's because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. But nothing could be further from the truth. Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include mimicking human cognitive activity. Researchers and developers in the field are making surprisingly rapid strides in mimicking activities such as learning, reasoning, and perception, to the extent that these can be concretely defined. Some believe that innovators may soon be able to develop systems that exceed the capacity of humans to learn or reason out any subject. But others remain skeptical because all cognitive activity is laced with value judgments that are subject to human experience.
As technology advances, previous benchmarks that defined artificial intelligence become outdated. For example, machines that calculate basic functions or recognize text through optical character recognition are no longer considered to embody artificial intelligence, since this function is now taken for granted as an inherent computer function.
This document provides a case study on Google DeepMind and artificial intelligence. It discusses DeepMind's work in machine learning, deep reinforcement learning, and its creation of AlphaGo which was able to defeat professional Go players. The document also briefly outlines DeepMind's work in healthcare by collaborating with hospitals to analyze medical scans and develop algorithms to differentiate healthy and cancerous tissues. However, DeepMind's data sharing agreement with the Royal Free London NHS Foundation Trust to access patient medical records without consent was controversial.
5 Amazing Examples of Artificial Intelligence in Actionvenkatvajradhar1
As scientists and researchers are desperately trying to transform Artificial Intelligence (AI) into the mainstream, this ingenious technology is already making its way into our daily lives and perpetuating many industry verticals
AI ppt introduction , advandtage pros and cons.pptxdeepakkrlkr2002
The document discusses artificial intelligence (AI), including definitions of intelligence and AI, comparisons of human and artificial intelligence, applications of AI in various fields like medicine, music, gaming, banking, and telecommunications. It also covers the future growth of AI, advantages and disadvantages of AI, limitations of current AI, and concludes that AI development will significantly change the world if developed responsibly by engineers.
This document provides an introduction to Society 5.0, the fourth industrial revolution, and related technologies such as artificial intelligence. It discusses how these concepts and technologies are impacting research and information professions. Society 5.0 is a vision for a new society that balances economic advancement with addressing social problems through highly integrating cyber and physical spaces. It is linked to concepts like the UN's sustainable development goals. The fourth industrial revolution involves new technologies like AI, robotics, and IoT that are transforming many industries and aspects of modern life. The document discusses various AI technologies and their applications. It also outlines some of the impacts these technologies are having on fields like research and libraries/information professions.
Chapter Three, four, five and six.ppt ITEtxgadisaAdamu
Artificial intelligence (AI) can be summarized as follows:
(1) AI refers to creating intelligent machines that can think and act like humans. It involves machines acquiring knowledge and applying it through experience to solve complex problems.
(2) The key components of human intelligence - learning, reasoning, problem-solving, perception, and linguistic ability - form the basis for developing AI systems.
(3) As data and computing power have increased, AI has advanced from narrow applications to more general problem-solving abilities through techniques like machine learning, neural networks, and deep learning.
The document discusses the 60th anniversary of CCITT/ITU-T and artificial intelligence. It notes that 10 mobile/cloud companies achieving $4 trillion in market cap and that China's AI market is $337 billion. It discusses how AI is driving unprecedented changes through hyper time compression of innovations and extreme convergence across multiple domains. AI is also helping to track progress on the UN's Sustainable Development Goals. The ITU is partnering with IBM Watson on AI initiatives and standards are being discussed. Overall, the document outlines how AI is massively impacting the economy, society and driving disruption through new technologies.
the foreword written by Brad Smith for Microsoft’s report Governing AI: A Blueprint for India. The first part of the report details five ways India could consider policies, laws, and regulations around AI. The second part focuses on Microsoft’s internal commitment to ethical AI, showing how the company is both operationalizing and building a culture of responsible AI. The final part shares case studies from India demonstrating how AI is already helping address major societal issues in the country.
What is Artificial Intelligence? : Everything You Need to Know about AIDashTechnologiesInc
Artificial Intelligence may be a buzzword now, but it’s not a new term. It was coined in 1956 by Minsky and McCarthy. Even though their effort to bring AI into the world’s attention failed, scientists and innovators started researching and developing machines that would mimic humans. In a nutshell;
An overview of Artificial Intelligence (AI) encompasses the field's fundamental concepts, objectives, and applications. AI is a broad and interdisciplinary branch of computer science dedicated to creating systems that can perform tasks typically requiring human intelligence.
Managing Future Impacts of Artificial Narrow, General, and Super Intelligence...Jerome Glenn
Reviews Millennium Project's Work/Technology 2050: Scenarios and Actions plus preparations for an international assessment for global governance of the transition from artificial narrow intelligence to artificial general intelligence
Technology related to artificial intelligence.docxsharjeel aziz
Technology related to artificial intelligence (AI) has advanced significantly in recent years, and it has a very bright future. AI is already altering how we live our lives, from self-driving cars to smart houses. The future of AI technology and its potential effects on society will be discussed in this essay.
This document provides an overview of artificial intelligence (AI), including its history, types, impact, examples and applications. It begins with definitions of AI and discusses its evolution since the 1950s. The types of AI are described as reactive, limited memory, theory of mind and self-aware. The impact and examples of AI are then summarized, covering increased efficiency, job changes, improved decision making and applications in healthcare, transportation and more. Finally, specific applications of AI are outlined in fields like astronomy, gaming, finance, data security and more.
This document provides an overview of artificial intelligence (AI). It discusses the history and goals of AI, as well as its advantages like increased productivity and reduced human error. Potential disadvantages include high costs and a lack of creativity. The future of AI is discussed in relation to healthcare, cybersecurity, employment, and e-commerce. Aviation applications are also summarized, such as using AI to analyze data and introduce auto-pilot modes. In conclusion, AI is seen as the future but must be directed toward useful ends to avoid potential threats.
AI & Innovation, Emerging trends & Future directions in AI.pptxssuser9437e3
Artificial intelligence is being applied in many areas of daily life such as smartphones, social media, music/media streaming, video games, smart homes, security/surveillance, keyboards/apps, healthcare, e-commerce, email, vehicles, drones, banking/finance, online ads, and navigation/travel. Some key applications include personal assistants, recommendations, automation, detection/diagnosis, fraud prevention, translations, and customized experiences based on individual users. AI is already widely used and its applications continue to expand across more industries and services.
Covid Management System Project Report.pdfKamal Acharya
CoVID-19 sprang up in Wuhan China in November 2019 and was declared a pandemic by the in January 2020 World Health Organization (WHO). Like the Spanish flu of 1918 that claimed millions of lives, the COVID-19 has caused the demise of thousands with China, Italy, Spain, USA and India having the highest statistics on infection and mortality rates. Regardless of existing sophisticated technologies and medical science, the spread has continued to surge high. With this COVID-19 Management System, organizations can respond virtually to the COVID-19 pandemic and protect, educate and care for citizens in the community in a quick and effective manner. This comprehensive solution not only helps in containing the virus but also proactively empowers both citizens and care providers to minimize the spread of the virus through targeted strategies and education.
Better Builder Magazine brings together premium product manufactures and leading builders to create better differentiated homes and buildings that use less energy, save water and reduce our impact on the environment. The magazine is published four times a year.
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Email: ctube@c-tube.net
2. 45
Abstract: The objective of this paper is to announce the idea of artificial intelligence in the domain of automobiles. The growth of
artificial intelligence has taken an implication step in new years and since then, the development has taken place in every domain
of the modern world. This paper informs the need of a robust artificial intelligence in the domain of automobiles and recent growth
that has taken habitation till now in the arena of automotive.
Keywords: Artificial Intelligence, Machine learning, Deep learning & Cognitive Computing.
I. Introduction
In today’s era, the word artificial intelligence
or AI as it is addressed, is a technological revolution
that is taking over all the domains in the world. Be it
the software industry or the production industry, the
AI has advanced its root in every aspect. However,
being such a common technology today, the real
spirit of this technology is still an abstract to many
and it is important to first understand what artificial
intelligence is. Although many definitions exist for
this technology, the simple way to define artificial
intelligence is as follows: -
Artificial intelligence (AI) is the intellect exhibited by
machineries or software finished the study and project of smart
agents, where a bright agent is a system that observes its
environment and takes activities that exploit its chances of
achievement.
Thus, when a mechanism mimics a human-
like behavior, for instance, learning, planning,
cognitive, problem-solving, the awareness of the
situation, natural language processing etc., and then it
sprays under the group of Artificial Intelligence. John
McCarthy, who invented the term in 1955, describes
it as "the science and engineering of construction
intelligent machines". Eric Schmidt, the managerial
chairman of Alphabet, the parental company of
Google, states that AI could be leveraged to crack
major challenges, counting weather change, disease
analysis, drug detection, microeconomics, theorem
showing and protein collapsible. Mike Schroepfer,
chief technology captain of Facebook, expresses
parallel hopes that the control of AI technology can
solve difficulties that gauge to the whole world.
Beginning in the 1950s, modern AI absorbed on
what was named strong AI, which discussed to AI
that could generally achieve any intelligent task that a
hominid could. The lack of development in strong
AI ultimately led to what's called feeble AI, or
smearing AI techniques to narrower difficulties. Until
the 1980s, AI research was divided between these
two examples. But, around 1980, mechanism learning
became a prominent area of research, its purpose to
give computers the ability to learn and build models
so that they could perform activities like prediction
within specific domains.
II. Literature Review
Even still we are counting on Artificial
Intelligence as the subsequent tool to transform the
way we live, work and interrelate with respectively
other, which will be typically enabled by machine-
learning methods, it remains indistinct as to how
these bright agents will help to solve extra complex
difficulties than the ones remaining while keeping in
attention that the state of the skill in AI today is to
perceptively recognize images and vigorously playing
sports. If we also aspect at the present status quo and
ARTIFICIAL INTELLIGENCE IN AUTOMOBILES
3. 46
who is intricate in riding the rollers of progress in
Artificial Intelligence, then some can easily find big
initiatives like Google, IBM, Microsoft and Facebook
and are the ones who are big companies in the arena.
The development in AI is likewise
transporting stable penalties e.g. eradicating
occupations by the means of work computerization,
one such situation can be understood in the Industry
4.0 framework, which is currently in use in the
automobile industry. Industry 4.0 makes what has
been named a ‘smart factory’ wherein great number
of robots take advancing the whole manufacturing
procedure with the help of cyber-physical schemes,
IoT and cloud computing. The current state of the
art in AI research types it more capable in some
domains than hominids, however, it is part of thin
artificial Intelligence which is more attentive on a
slim domain of difficulties e.g. iPhone Siri. In 2015,
numerous milestones attained in the research and
growth of AI provided rise to Artificial General
Intelligence and this thoughtful of AI can be
pragmatic all kind of difficulties. In cognitive science,
intelligence is definite in many ways which comprise
one’s capacity for cognitive, logic, considerate,
planning, problematic resolving, self-awareness, and
passionate awareness etc. A Human-level intelligent
mechanism should have an ability to pass several
tests; one of such examinations is the Turing test.
However, there is no perfect test which can prove a
mechanism perfectly human -level intellectual. If we
guise at the present state of AI, the step of evolution
of false intelligence is speeding up. NIPS (Neural
Information Processing Network) session is one of
the maximum famous sessions in the arena of
Machine Learning & computational neuroscience.
III. Need of Artificial Intelligence
Early in the 1950s, present AI focused on
what was named strong AI, which mentioned to AI
that might usually perform any intellectual task that a
humanoid could. The absence of progress in robust
AI ultimately led to what's named weak AI, or
applying AI methods to narrower difficulties. Until
the 1980s, AI research was divided between these
two paradigms. But, nearby 1980, machine learning
turn into a protruding area of research, its purpose to
give computers the ability to learn and build models
so that they could perform activities like prediction
within specific domains. Research prior to 1950
introduced the idea that the brain consisted of an
electrical network of pulses that fired and somehow
orchestrated thought and consciousness. Alan Turing
showed that any computation could be implemented
digitally. The idea, then, that building a machine that
could mimic the human brain couldn’t be far off.
Much early research focused on this strong aspect of
AI, but this period also introduced the foundational
concepts that all machine learning and deep learning
are built on today. Although you can successfully
apply search to many simple problems, the approach
quickly fails as the number of choices increases. Take
the simple game of tic-tac-toe as an example. At the
start of a game, there are nine possible moves.
Respectively move consequences in eight likely
countermoves, and subsequently on. The full
hierarchy of transfers for tic-tac-toe comprises
(optimized for rotation to remove duplicates) is
362,880 bulges. If one then extends this similar
thought research to chess or go, you rapidly see the
weakness of examination.
IV. Problems with Modern Automobiles
i) Vehicle Accidents
Tens of millions of public have vanished
their survives or have converted disabled worldwide
in the last 10 years because of vehicle accidents.
Almost all the traffic accidents are caused by human
mistakes. Unfortunately, according to statistics, in the
next 10 years, the number of lives lost each year will
likely double. Agreeing toward the World Health
Organization, road transportation injuries produced a
projected 1.26 million demises universal in the year
2000. (Source: World Health Organization, 2000).
Worldwide it was estimated in 2004 that 2.5 million
persons were destroyed in transportation
coincidences (4.7% of all deaths) (World report on
road traffic injury prevention, WHO, 2004).
4. 47
Fig. 4: Road Fatalities per Capital (WHO)
ii) Grand Theft Auto
The term is associated with the stealing of the
automobile. This a major security concern in the entire
automobile industry where hundreds of vehicles get
stolen every year without any trace. Property losses due
to motor vehicle theft in 2013 were estimated at $4.3
billion alone in the United States of America as per Wall
Street Journal. InIndia, as per Ministry of Transportation,
the no. of vehicles stolen is roughly around 135431 in
2013.
iii) Driver Distractions
The safety factor while driving an automobile is
something that cannot go neglected. It is one of the key
feature that can cause or prevent a catastrophe. Even
though all the standard or elite class automobiles has
been equipped all the latest available technologies that
increases the chances of driving safety, statistics tells a
different story. As per “accident attorney” website, the
major form of distraction is texting, talking to co
passenger, high volume music, alcohol etc. And what
is more concerning is that majority of them are caused in
teenagers.
Fig. 6: Reasons for Crashes due to distraction
iv) Maintenance Scheduling
Maintenance of the automobiles is a very
essential and necessary task for every vehicle owner. A
good maintenance scheduling results in better efficiency
and better performance of the vehicle. However, it often
happens that the regular or scheduled maintenance is
not been done by the owner which leads to the downfall
of performance for the vehicle.
Another situation arises when the owner is not
sure when to go for a maintenance run. It may often lead
to unnecessary servicing of the vehicle which is again
not good for the vehicle and for the owner.
V) Miscellaneous Issues
There are few more issues which are not being
addressed by modern automobiles. Although research
works are being carried out by all the major automobile
industries, it might take another five to six years to make
these technologies available for commercialization. Till
then, let us consider that they still do not exist. These
issues include an automatic speed controlling device that
will have a predefined speed limit by the user. Also,
there is no technology which can do an automatic
diagnosis of the vehicle and tells which part needs a
replacement. There are other issues which are minute in
nature, but can cause a major disaster on the road. For
example, a bad mechanical component in any of the
system can cause a havoc in the entire vehicle system.
Bad weather conditions can sometimes cause unexpected
tragedies which could totally be avoided. The
condition of the vehicle is sometimes so awful that
driving such vehicles are itself a disaster. The driverwho
has no experience prior to driving and automobiles
might find themselves in a critical situation. So far, no
technology or vehicle engineering has been
commercialized that can help such drivers. Illegal driving
is another factor that can be an issue. Any driver below the
specified age for driving are often seen on the roads and
the only way to catch these pricks are through the
assistance of
5. 48
cops, which sometimes prove to be too late in some
cases.
V. Solutions with Artificial Intelligence
Artificial intelligence is pleasing the automobile
manufacturing by rainstorm while all the major
automobile companies are using their resources and
knowledge to come up with the finest. In the similarway,
when intellect is applied to the knowledge within an
automobile, it would distinguish the atmosphere and
evaluate the appropriate suggestions when it traffics or
appearances any hurdles. In 2015,the connect rate of AI
based systems in fresh vehicles was just 8%; this
amount is expected to soarto 109% in 2025. This is since
different types of AI systems will be installed in
vehicles.
i) Driverless Car
The thought behind driverless cars was around
from the 1970s, so it is not completely new. AI powered
cars, depicted in pictures over the centuries, have
continuously taken our thoughts. But the lack of technical
brilliance and resources probably kept it from
becoming a reality, until recently. Eventually, all the
factors leading to artificial intelligence shaped up and now
driverless cars havebecome a reality. Well, virtually, it is
impartial a substance of time beforehand you start to see
real intellect in them. The idea is to authorize the
automobile to act like a humanoid motorist and ambition
finished various conditions. This may complete easy, but
is in not at all method a simple job since a lot of careful
calculating is obligatory. Through methods like sensor
fusion and deep learning, researchers could develop a
technology that would help build a three-dimensional map
of all the activities that happen around the car. Some of
the leading tech and automotive giants like Google and
Tesla are spending millions of dollars in research to
come up with better technology and to make
autonomous cars a commercial reality.
Fig. 8: Autonomous car under development by
Google
ii) Driver Assist Feature
Although relatively few corporations are
occupied on fully-automated replicas, a growing amount
of builders are facilitation in that way. By presenting
features that assist the motorist without captivating the
wheel, many businesses are taking a cautious method to
AI-based features, while still rotating out vehicles with
progressive safety features. Involuntary braking, crash
avoidance systems, ordinary and cyclists’ alerts, cross-
traffic warnings, and intelligent cruise panels are some of
the smaller features being motorized by AI. The
willingness of automobile manufacturers to grow
automated cars, transmission trucks, and other automobiles
opens an affluence of new opportunities. Corporations
that can put rubber to the street and revolutionize in this
thrilling new bazaar will find asset dollars plenteous.
Fig. 9: Driver assistant software
iii) Cloud Hosted Intelligence
Cloud computing has certain advantages that make
it the perfect platform for staging and deploying AI
technology in the automotive field. Among these are fast
processing speed, big data access and analytics, and
centralized connectivity. As companies endeavor to
develop cutting-edge automotive technology, cloud-
based platforms will be developed to support them.
One instance of
6. 49
anywhere the control of the cloud is being cast-off is the
company among General Motors and IBM’s Watson
supercomputer. An extension of GM’s popular
OnStar system, the platform being developed will
include AIenhanced features
Fig. 10: Vehicle connected to the cloud settings
iv)Internet of Things
As a result of 2020, manufacturing specialists
approximation that almost 250 million cars
determination be associated to the Internet. With new
cars coming prepared with a crowd of keen sensors,
entrenched connectivity requests, and big- data improved
geoanalytical competences, it only brands intelligence to
have an IoT relationship as healthy. At this time are fair
a few of the habits IoT technology is impacting, or will
quickly impact the motorized manufacturing.
Fig. 11: Internet of Things utilized in anautomobile
v) Cognitive Capabilities
The driverless rebellion will continue to
vacation along the roads, and you determination be
witness to not just minor cars with AI competences, but
huge 18-wheel trucks resounding an assortment of
properties as well. This is occupied a step further with
cognitive examination that kind of copies the human
conduct by looking at the behavior designs and data
mining competences. Cognitive systems are hypothetical to
work just similar a human would understand a real-life
condition, and to do that, a deeper sympathetic of
formless data is essential.
Insights wanted be drawn from plenty of formless data to
decide on how to answer naturally in actual time.
Cognitive capabilities wanted be able to switch dynamic
operating circumstances as well. Car manufacturers have
previously started integrating this into their automobiles.
Fig. 12: BMW harnessing the cognitive abilities of
IBM Watson
vi) Infotainment System
Artificial Intelligence changes in-vehicle
infotainment systems in a major way. Because of this trend,
the demand for high quality hardware and software
solutions has also soared because they all must be
compatible with AI. In the infotainment category, you
can expect a spike in features like speech recognition, eye
tracking, monitoring driving, gesture recognition, and
database of natural languages. Eventually, this will also
go a step further to consider driver condition evaluation,
camera- attached machine vision systems, sensor fusion
engine control units and radar-based detection units. There
are infotainment human machine interfaces already
attached to vehicles and this can monitor and act according
to the algorithms collected from cloud- based neural
networks. This would then be used to perform advanced
tasks.
Fig. 13: Infotainment system connected to the
automobiles through Wi-Fi
7. 50
viii) Intelligent Risk Insurance Assessment Always
looking for ways to reduce risks, insurancecompanies
have partnered with automotive andtechnology
companies to help identify risky drivers.One such
partnership involves Nauti, a technologydeveloper,
BMW I Ventures, and Toyota ResearchInstitute, as well
as the insurance company AllianzGroup. Nauto has
established agreements with theothers to develop AI-
based products that aid in fleetmanagement, logistics, and
driver safety. Using deep-learning AI technology, Nauto
is developing a cloud-based platform that will track
driver alertness, nearmisses, and unsafe driving habits.
Eventually, Nautoplans to have a connected car
network that willinclude an ever increasing number of
connected cars.Nauto’s AI platform and associated
network willhelp fleet companies operate their vehicles
moresafely and more efficiently. By tracking driver
behaviour, the system will help insurance companies
identify drivers prone to have risky driving habits.
Premiums will, no doubt, be adjusted accordingly.
Nauto’s efforts represent just one of countless
opportunities for innovators in this niche space.
VI. Merits & Demerits
As you have already realized, we have a lot of
data from the car, and we have a lot of data from the
owner of the smartphone. Artificial intelligence, which
we also offer for the car, gives you recommendations.
For example, we already know that you have a meeting
tomorrow morning because we accessed your calendar,
and we also know that your gas level is not enough. With
AI we will send a notification to your smartphone
saying, “please leave half an hour early because you
need to get gas”. The best features include: -
a) Safety
b) Convenient
c) Cost Effective
d) Predictive Driving
e) Great for Disabled People
AI is developing with such an incredible
speed, sometimes it seems magical. There is an opinion
among researchers and developers that AI
could grow so immensely strong that it would be
difficult for humans to control. Humans developed AI
systems by introducing into them every possible
intelligence they could, for which the humans
themselves now seem threatened. The demerits include:
- f) Threat to Privacy
g) Technical Errors& Software Bugs
h) Ambiguous Decisions
VII. Economical Aspects
The use of artificial intelligence in the
automobiles can be a major change in the automobile
industry and can change the way automobiles and the terms
associated with it has been seen till today. However, all
good things come with a price. The technology of
artificial intelligence may sound like afantasy and more
like a sci-fi movie, but this technology carries a heavy
price tag on its head. The usage of sensors, smart screen,
touch sensitive screens etc. are not available cheaply in
the market. These electronic components are the most
sophisticated things available in the market and artificial
intelligence needs their sophistic nature to work at its
best. Also, not to forget, the usage of the
microprocessors and microcontrollers are a key factor in
this technology. They are the one who will be running
and controlling all the features and functions that was
mentioned earlier. Hence, they need to be the best in the
market, which indirectly implies that the cost factor will
rise. The industries and the companies who wish to
imply such technologies needs to invest a huge sum of
money to make it successfully commercialized. In fact,
statistics suggests that there has been a 4.7 billion USD
has been spent so far by the firms who are developing
artificial intelligence related technologies.
VIII. Conclusion
It seems that we are standing at the point on the
timeline where it is difficult to foresee the future of
humanity in the context of Artificial Intelligence. We
always embrace new technologies which seemed to be
changing our way of living. However, the vital fact here
is that the sympathetic of change we are acceptance
must bring a positive outcome for the
8. wellbeing of society and eventually of humankind.
Artificial intelligence is the kind of alteration which
we positively should not take for decided. It is
different than any other knowledge which
humankind has ever industrialized and the fact which
brands it unique is its ability to act separately. It is the
alteration which not only starts displaying soon its
positive influence on society but harshly negative
impacts, too. So, if we are espousal it as a change
which is expected to change the way we live, then we
should be happily ready to face the significances
whether it is related to employment, privacy, or
ultimately the very being of humanity. However, at
all the case will ultimately be, we certainly need a
legal policy outline which can brand sure to moderate
the challenges associated with AI and compensate
the affected parties in case of a fatal error.
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2016.
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