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ARTIFICIAL INTELLIGENCE
VEDANT PATEL 156050319042
MANUFACTURING SYSTEM
MECHANICAL
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 purpose of the artificial intelligence in computer are
sequenced as under
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.
• Highly technical and specialized research is on going in this field.
• The core problems of artificial intelligence include programming
computers for certain traits such as:
• Perception
• Learning
• Planning
• Ability to manipulate and move objects
• Knowledge
• Reasoning
• Problem solving
• 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 achieved great demand recently due, to big data, or the
increase in speed, size and variety of data business.
• 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.
i. 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, Google assistant, Alexi etc.
ii. Strong AI, also known as artificial general intelligence.
APPLICATION
i. AI in law.
ii. AI in education.
iii. AI in business.
iv. AI in finance.
v. AI in health care.
vi. AI in manufacturing.
vii. AI in electronic field.
ADVANTAGES OF AI
• Daily Application.
• Digital Assistants.
• Increase Work Efficiency.
• Reduce cost of training and operation.
• Error Reduction.
• Difficult Exploration.
DISADVANTAGES OF AI
• 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
“ Rise of robots may be disastrous for mankind.”
-Stephen Hawking
FUTURE SCOPE OF AI
• 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.

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Jainish ms ai

  • 1. ARTIFICIAL INTELLIGENCE VEDANT PATEL 156050319042 MANUFACTURING SYSTEM MECHANICAL
  • 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 purpose of the artificial intelligence in computer are sequenced as under 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. • Highly technical and specialized research is on going in this field. • The core problems of artificial intelligence include programming computers for certain traits such as: • Perception • Learning • Planning
  • 4. • Ability to manipulate and move objects • Knowledge • Reasoning • Problem solving • 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 achieved great demand recently due, to big data, or the increase in speed, size and variety of data business. • 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. i. 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, Google assistant, Alexi etc. ii. Strong AI, also known as artificial general intelligence.
  • 7. APPLICATION i. AI in law. ii. AI in education. iii. AI in business. iv. AI in finance. v. AI in health care. vi. AI in manufacturing. vii. AI in electronic field.
  • 8. ADVANTAGES OF AI • Daily Application. • Digital Assistants. • Increase Work Efficiency. • Reduce cost of training and operation. • Error Reduction. • Difficult Exploration.
  • 9. DISADVANTAGES OF AI • 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 “ Rise of robots may be disastrous for mankind.” -Stephen Hawking
  • 10. FUTURE SCOPE OF AI • 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.