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STUDY WELL PUBLIC SCHOOL SITAPUR
PRESENTED BY: AMAN JATAV (03)
GUIDED BY:
CONTENT
 INTRODUCTION
 HISTORY
 TYPE OF AI
 HOW AI WORK
 APPLICATION OF AI
 ADVANTAGE & DISADVANTAGE
 EXAMPLE OF AI
 CURRENT AI DEVICES IN MARKET
Artificial intelligence
INTRODUCTION
 Artificial intelligence (AI), also known as machine intelligence, is a
branch of computer science that focuses on building and managing
technology that can learn to autonomously make decisions and carry
out actions on behalf of a human being.
 AI is not a single technology. It is an umbrella term that includes any
type of software or hardware component that supports machine
learning, computer vision, natural language understanding (NLU)
and natural language processing (NLP).
HISTORY
 1956 - John McCarthy coined the term ‘artificial intelligence’ and had the first AI
conference.
 1969 - Shakey was the first general-purpose mobile robot built. It is now able to
do things with a purpose vs. just a list of instructions.
 1997 - Supercomputer ‘Deep Blue’ was designed, and it defeated the world
champion chess player in a match. It was a massive milestone by IBM to create
this large computer.
 2002 - The first commercially successful robotic vacuum cleaner was created.
 2005 - 2019 - Today, we have speech recognition, robotic process automation
(RPA), a dancing robot, smart homes, and other innovations make their debut.
 2020 - Baidu releases the LinearFold AI algorithm to medical and scientific and
medical teams developing a vaccine during the early stages of the SARS-CoV-2
(COVID-19) pandemic. The algorithm can predict the RNA sequence of the virus
in only 27 seconds, which is 120 times faster than other methods.
TYPE OF AI
Artificial Intelligence can be divided based on capabilities and
functionalities.
 There are three types of Artificial Intelligence-based on capabilities -
 Narrow AI
 General AI
 Super AI
Under functionalities, we have four types of Artificial Intelligence -
 Reactive Machines
 Limited Theory
 Theory of Mind
 Self-awareness
aman presentation 2.pptx
TYPE-1
 Narrow AI, also called as Weak AI, focuses on one narrow task and cannot
perform beyond its limitations. It targets a single subset of cognitive abilities and
advances in that spectrum. Narrow AI applications are becoming increasingly
common in our day-to-day lives as machine learning and deep learning methods
continue to develop.
 General AI, also known as strong AI, can understand and learn any intellectual task
that a human being can. It allows a machine to apply knowledge and skills in
different contexts. AI researchers have not been able to achieve strong AI so far.
They would need to find a method to make machines conscious, programming a
full cognitive ability set. General AI has received a $1 billion investment from
Microsoft through OpenAI.
 Super AI surpasses human intelligence and can perform any task better than a
human. The concept of artificial superintelligence sees AI evolved to be so akin to
human sentiments and experiences that it doesn't merely understand them; it also
evokes emotions, needs, beliefs, and desires of its own. Its existence is still
hypothetical. Some of the critical characteristics of super AI include thinking,
solving puzzles, making judgments, and decisions on its own.
TYPE-2
 A reactive machine is the primary form of artificial intelligence that does not
store memories or use past experiences to determine future actions. It works
only with present data. They perceive the world and react to it. Reactive
machines are provided with specific tasks, and they don't have capabilities
beyond those tasks.
 Limited Memory AI trains from past data to make decisions. The memory of
such systems is short-lived. They can use this past data for a specific period of
time, but they cannot add it to a library of their experiences. This kind of
technology is used in self-driving vehicles.
 Limited Memory AI observes how other vehicles are moving around them, at
present, and as time passes.
 This ongoing, collected data gets added to the AI machine's static data, such as
lane markers and traffic lights.
 Theory of mind AI represents an advanced class of technology and exists
only as a concept. Such a kind of AI requires a thorough understanding
that the people and things within an environment can alter feelings and
behaviors. It should understand people's emotions, sentiments, and
thoughts. Even though many improvements are there in this field, this
kind of AI is not fully complete yet.
 Self-awareness AI only exists hypothetically. Such systems understand
their internal traits, states, and conditions and perceive human emotions.
These machines will be smarter than the human mind. This type of AI
will not only be able to understand and evoke emotions in those it
interacts with, but also have emotions, needs, and beliefs of its own.
HOW AI WORK
AI operates by integrating enormous volumes of data with rapid, iterative and
clever algorithms that automatically enable the programme to learn from patterns
or data aspects. AI is a wide range of studies, which covers various ideas,
techniques and the following primary subject of research:
 Machine Learning: Machine learning automates the construction of analytical
models. It utilises approaches for finding hidden insights into data from neural
networks, statistics, operational research and physics without explicitly
programming to identify where you can or can finish.
 Neural Network: A Neural Network is a type of machine learning that is made
up of interconnected units (like neurons) that processes information by
responding to external inputs, relaying information between each unit. The
process requires multiple passes at the data to find connections and derive
meaning from undefined data.
 Deep learning: Deep Learning employs massive networks of neurons with
many processing unit layers, utilising increases in computer power and
enhanced training technology to understand complicated data patterns.
Images and voice recognition are common uses.
 Cognitive computing : Cognitive computing is an AI field which
humanely attempts a natural robotic interface. The ultimate goal is to copy
and then converse consistently through human processes using AI and
cognitive computing through the capacity for processing pictures and
speech.
 Computer Vision: Computer vision depends on the identification of
patterns and the thorough understanding of a photograph or video. The
machines can gather and interpret photos and videos in real time if robots
can process, analyse and understand photographs.
APPLICATION OF AI
 1. AI in Astronomy
• Artificial Intelligence can be very useful to solve complex universe problems. AI
technology can be helpful for understanding the universe such as how it works, origin,
etc.
 . AI in Healthcare
• In the last, five to ten years, AI becoming more advantageous for the healthcare
industry and going to have a significant impact on this industry.
• Healthcare Industries are applying AI to make a better and faster diagnosis than
humans. AI can help doctors with diagnoses and can inform when patients are
worsening so that medical help can reach to the patient before hospitalization.
 3. AI in Gaming
• AI can be used for gaming purpose. The AI machines can play strategic games like
chess, where the machine needs to think of a large number of possible places.
 4. AI in Finance
• AI and finance industries are the best matches for each other. The finance industry is
implementing automation, chatbot, adaptive intelligence, algorithm trading, and
machine learning into financial processes.
 5. AI in Data Security
• The security of data is crucial for every company and cyber-attacks are growing very
rapidly in the digital world. AI can be used to make your data more safe and secure.
Some examples such as AEG bot, AI2 Platform,are used to determine software bug and
cyber-attacks in a better way.
 6. AI in Social Media
• Social Media sites such as Facebook, Twitter, and Snapchat contain billions of user
profiles, which need to be stored and managed in a very efficient way. AI can organize
and manage massive amounts of data. AI can analyze lots of data to identify the latest
trends, hashtag, and requirement of different users.
 7. AI in Travel & Transport
• AI is becoming highly demanding for travel industries. AI is capable of doing various
travel related works such as from making travel arrangement to suggesting the hotels,
flights, and best routes to the customers. Travel industries are using AI-powered
chatbots which can make human-like interaction with customers for better and fast
response.
ADVANTAGE & DISADVATAGE
EXAMPLE OF AI
 Google Maps and Ride-
Hailing Applications
 Face Detection and
recognition
 Text Editors and Autocorrect
 Chatbots
 E-Payments
 Search and
Recommendation algorithms
 Digital Assistant
 Social media
 Healthcare
 Gaming
 Online Ads-Network
 Banking and Finance
 Smart Home devices
 Security and Surveillance
 Smart Keyboard App
 Smart Speaker
 E-Commerce
 Smart Email Apps
CURRENT AI DEVICES IN MARKET
Google Maps Face Recognition Voice Assistant
Chat Bot Gaming Stream service
aman presentation 2.pptx

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aman presentation 2.pptx

  • 1. STUDY WELL PUBLIC SCHOOL SITAPUR PRESENTED BY: AMAN JATAV (03) GUIDED BY:
  • 2. CONTENT  INTRODUCTION  HISTORY  TYPE OF AI  HOW AI WORK  APPLICATION OF AI  ADVANTAGE & DISADVANTAGE  EXAMPLE OF AI  CURRENT AI DEVICES IN MARKET
  • 4. INTRODUCTION  Artificial intelligence (AI), also known as machine intelligence, is a branch of computer science that focuses on building and managing technology that can learn to autonomously make decisions and carry out actions on behalf of a human being.  AI is not a single technology. It is an umbrella term that includes any type of software or hardware component that supports machine learning, computer vision, natural language understanding (NLU) and natural language processing (NLP).
  • 5. HISTORY  1956 - John McCarthy coined the term ‘artificial intelligence’ and had the first AI conference.  1969 - Shakey was the first general-purpose mobile robot built. It is now able to do things with a purpose vs. just a list of instructions.  1997 - Supercomputer ‘Deep Blue’ was designed, and it defeated the world champion chess player in a match. It was a massive milestone by IBM to create this large computer.  2002 - The first commercially successful robotic vacuum cleaner was created.  2005 - 2019 - Today, we have speech recognition, robotic process automation (RPA), a dancing robot, smart homes, and other innovations make their debut.  2020 - Baidu releases the LinearFold AI algorithm to medical and scientific and medical teams developing a vaccine during the early stages of the SARS-CoV-2 (COVID-19) pandemic. The algorithm can predict the RNA sequence of the virus in only 27 seconds, which is 120 times faster than other methods.
  • 6. TYPE OF AI Artificial Intelligence can be divided based on capabilities and functionalities.  There are three types of Artificial Intelligence-based on capabilities -  Narrow AI  General AI  Super AI Under functionalities, we have four types of Artificial Intelligence -  Reactive Machines  Limited Theory  Theory of Mind  Self-awareness
  • 8. TYPE-1  Narrow AI, also called as Weak AI, focuses on one narrow task and cannot perform beyond its limitations. It targets a single subset of cognitive abilities and advances in that spectrum. Narrow AI applications are becoming increasingly common in our day-to-day lives as machine learning and deep learning methods continue to develop.  General AI, also known as strong AI, can understand and learn any intellectual task that a human being can. It allows a machine to apply knowledge and skills in different contexts. AI researchers have not been able to achieve strong AI so far. They would need to find a method to make machines conscious, programming a full cognitive ability set. General AI has received a $1 billion investment from Microsoft through OpenAI.  Super AI surpasses human intelligence and can perform any task better than a human. The concept of artificial superintelligence sees AI evolved to be so akin to human sentiments and experiences that it doesn't merely understand them; it also evokes emotions, needs, beliefs, and desires of its own. Its existence is still hypothetical. Some of the critical characteristics of super AI include thinking, solving puzzles, making judgments, and decisions on its own.
  • 9. TYPE-2  A reactive machine is the primary form of artificial intelligence that does not store memories or use past experiences to determine future actions. It works only with present data. They perceive the world and react to it. Reactive machines are provided with specific tasks, and they don't have capabilities beyond those tasks.  Limited Memory AI trains from past data to make decisions. The memory of such systems is short-lived. They can use this past data for a specific period of time, but they cannot add it to a library of their experiences. This kind of technology is used in self-driving vehicles.  Limited Memory AI observes how other vehicles are moving around them, at present, and as time passes.  This ongoing, collected data gets added to the AI machine's static data, such as lane markers and traffic lights.
  • 10.  Theory of mind AI represents an advanced class of technology and exists only as a concept. Such a kind of AI requires a thorough understanding that the people and things within an environment can alter feelings and behaviors. It should understand people's emotions, sentiments, and thoughts. Even though many improvements are there in this field, this kind of AI is not fully complete yet.  Self-awareness AI only exists hypothetically. Such systems understand their internal traits, states, and conditions and perceive human emotions. These machines will be smarter than the human mind. This type of AI will not only be able to understand and evoke emotions in those it interacts with, but also have emotions, needs, and beliefs of its own.
  • 11. HOW AI WORK AI operates by integrating enormous volumes of data with rapid, iterative and clever algorithms that automatically enable the programme to learn from patterns or data aspects. AI is a wide range of studies, which covers various ideas, techniques and the following primary subject of research:  Machine Learning: Machine learning automates the construction of analytical models. It utilises approaches for finding hidden insights into data from neural networks, statistics, operational research and physics without explicitly programming to identify where you can or can finish.  Neural Network: A Neural Network is a type of machine learning that is made up of interconnected units (like neurons) that processes information by responding to external inputs, relaying information between each unit. The process requires multiple passes at the data to find connections and derive meaning from undefined data.
  • 12.  Deep learning: Deep Learning employs massive networks of neurons with many processing unit layers, utilising increases in computer power and enhanced training technology to understand complicated data patterns. Images and voice recognition are common uses.  Cognitive computing : Cognitive computing is an AI field which humanely attempts a natural robotic interface. The ultimate goal is to copy and then converse consistently through human processes using AI and cognitive computing through the capacity for processing pictures and speech.  Computer Vision: Computer vision depends on the identification of patterns and the thorough understanding of a photograph or video. The machines can gather and interpret photos and videos in real time if robots can process, analyse and understand photographs.
  • 14.  1. AI in Astronomy • Artificial Intelligence can be very useful to solve complex universe problems. AI technology can be helpful for understanding the universe such as how it works, origin, etc.  . AI in Healthcare • In the last, five to ten years, AI becoming more advantageous for the healthcare industry and going to have a significant impact on this industry. • Healthcare Industries are applying AI to make a better and faster diagnosis than humans. AI can help doctors with diagnoses and can inform when patients are worsening so that medical help can reach to the patient before hospitalization.  3. AI in Gaming • AI can be used for gaming purpose. The AI machines can play strategic games like chess, where the machine needs to think of a large number of possible places.
  • 15.  4. AI in Finance • AI and finance industries are the best matches for each other. The finance industry is implementing automation, chatbot, adaptive intelligence, algorithm trading, and machine learning into financial processes.  5. AI in Data Security • The security of data is crucial for every company and cyber-attacks are growing very rapidly in the digital world. AI can be used to make your data more safe and secure. Some examples such as AEG bot, AI2 Platform,are used to determine software bug and cyber-attacks in a better way.  6. AI in Social Media • Social Media sites such as Facebook, Twitter, and Snapchat contain billions of user profiles, which need to be stored and managed in a very efficient way. AI can organize and manage massive amounts of data. AI can analyze lots of data to identify the latest trends, hashtag, and requirement of different users.  7. AI in Travel & Transport • AI is becoming highly demanding for travel industries. AI is capable of doing various travel related works such as from making travel arrangement to suggesting the hotels, flights, and best routes to the customers. Travel industries are using AI-powered chatbots which can make human-like interaction with customers for better and fast response.
  • 17. EXAMPLE OF AI  Google Maps and Ride- Hailing Applications  Face Detection and recognition  Text Editors and Autocorrect  Chatbots  E-Payments  Search and Recommendation algorithms  Digital Assistant  Social media
  • 18.  Healthcare  Gaming  Online Ads-Network  Banking and Finance  Smart Home devices  Security and Surveillance  Smart Keyboard App  Smart Speaker  E-Commerce  Smart Email Apps
  • 19. CURRENT AI DEVICES IN MARKET Google Maps Face Recognition Voice Assistant
  • 20. Chat Bot Gaming Stream service