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Artificial intelligence
What is Artificial Intelligence?
 Artificial intelligence (AI) is an area of computer
science that emphasizes the creation of
intelligent machines that work and react like
humans.
 Some of the activities computers with artificial
intelligence are designed for include:
1. Speech recognition
2. Learning
3. Planning
4. Problem solving
Introduction
Artificial intelligence is a branch of computer
science that aims to create intelligent machines.
 It has become an essential part of the
technology industry.
Research associated with artificial intelligence is
highly technical and specialized.
 The core problems of artificial intelligence
include programming computers for certain traits
such as:
• Knowledge
• Reasoning
• Perception
• Learning
• Planning
• Ability to manipulate and move objects
 Knowledge engineering is a core part of AI research.
History
AI was coined by John McCarthy, an American
computer scientist, in 1956 at The Dartmouth
Conference where the discipline was born.
It has gained prominence recently due, in part, to big
data, or the increase in speed, size and variety of data
businesses are now collecting.
AI can perform tasks such as identifying patterns in the
data more efficiently than humans, enabling
businesses to gain more insight out of their data.
Types of Artificial Intelligence
AI can be categorized in any number of ways, but here
are two examples.
The first classifies AI systems as either weak AI or
strong AI.
Weak AI, also known as narrow AI, is an AI system that
is designed and trained for a particular task. E.g.:-
virtual assistant like Apple’s siri etc.
Strong AI, also known as artificial general intelligence.
Examples of Artificial Intelligence
Automation is the process of making a system or
process function automatically. Robotic process
automation, for example, can be programmed to
perform high-volume.
Robotics is a field of engineering focused on the
design and manufacturing of robots. Robots are often
used to perform tasks that are difficult for humans to
perform or perform consistently.
Pattern recognition is a branch of machine learning
that focuses on identifying patterns in data.
Applications
AI in healthcare.
AI in business.
AI in education.
AI in finance.
AI in law.
AI in manufacturing.
Advantages of Artificial Intelligence
Error Reduction.
Difficult Exploration.
Daily Application.
 Digital Assistants.
Increase Work Efficiency.
Reduce cost of training and operation.
Risks of Artificial Intelligence
The AI is programmed to do something devastating.
The AI is programmed to do something beneficial, but it
develops a destructive method for achieving its goals.
High cost
“Stephen Hawking warns that rise of robots may be
disastrous for mankind.”
Future scope of AI
Machines learn from experience and build
associations, help develop new technology.
Smarter gets redefined with the advances in sensor,
cloud and machine learning technology, and pushes
the boundary of smarter homes, cars, infrastructure
and just about everything.
Deep learning approaches allow processing of raw
data including images, speech and natural language.
Intelligent automation combines automation with
artificial intelligence.
Thank You

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HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
 

Artificial intelligence

  • 1. Made by:- Meet Shah (51) Krunal Champaneri (04) Subject:- Manufacturing System Branch :- Mechanical (SFI) Artificial intelligence
  • 2. What is Artificial Intelligence?  Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans.  Some of the activities computers with artificial intelligence are designed for include: 1. Speech recognition 2. Learning 3. Planning 4. Problem solving
  • 3. Introduction Artificial intelligence is a branch of computer science that aims to create intelligent machines.  It has become an essential part of the technology industry. Research associated with artificial intelligence is highly technical and specialized.  The core problems of artificial intelligence include programming computers for certain traits such as: • Knowledge • Reasoning
  • 4. • Perception • Learning • Planning • Ability to manipulate and move objects  Knowledge engineering is a core part of AI research.
  • 5. History AI was coined by John McCarthy, an American computer scientist, in 1956 at The Dartmouth Conference where the discipline was born. It has gained prominence recently due, in part, to big data, or the increase in speed, size and variety of data businesses are now collecting. AI can perform tasks such as identifying patterns in the data more efficiently than humans, enabling businesses to gain more insight out of their data.
  • 6. Types of Artificial Intelligence AI can be categorized in any number of ways, but here are two examples. The first classifies AI systems as either weak AI or strong AI. Weak AI, also known as narrow AI, is an AI system that is designed and trained for a particular task. E.g.:- virtual assistant like Apple’s siri etc. Strong AI, also known as artificial general intelligence.
  • 7. Examples of Artificial Intelligence Automation is the process of making a system or process function automatically. Robotic process automation, for example, can be programmed to perform high-volume. Robotics is a field of engineering focused on the design and manufacturing of robots. Robots are often used to perform tasks that are difficult for humans to perform or perform consistently. Pattern recognition is a branch of machine learning that focuses on identifying patterns in data.
  • 8. Applications AI in healthcare. AI in business. AI in education. AI in finance. AI in law. AI in manufacturing.
  • 9. Advantages of Artificial Intelligence Error Reduction. Difficult Exploration. Daily Application.  Digital Assistants. Increase Work Efficiency. Reduce cost of training and operation.
  • 10. Risks of Artificial Intelligence The AI is programmed to do something devastating. The AI is programmed to do something beneficial, but it develops a destructive method for achieving its goals. High cost “Stephen Hawking warns that rise of robots may be disastrous for mankind.”
  • 11. Future scope of AI Machines learn from experience and build associations, help develop new technology. Smarter gets redefined with the advances in sensor, cloud and machine learning technology, and pushes the boundary of smarter homes, cars, infrastructure and just about everything. Deep learning approaches allow processing of raw data including images, speech and natural language. Intelligent automation combines automation with artificial intelligence.