2. Contents :
What is Artificial Intelligence(AI)?
How AI technology is used today?
Is Artificial Intelligence a threat to humanity?
Claims on Artificial Intelligence
Limitations of AI
Conclusions
3. What is Artificial Intelligence(AI)?
Intelligence: ‘The capacity to learn and solve problems’.
The term “artificial intelligence” was first coined in 1956, but AI as a field of study has its roots in the early
days of computing. It is a branch of computer science that deals with the creation of intelligent agents, which
are systems that can reason, learn, and act autonomously. AI research deals with the question of how to create
computers that are capable of intelligent behavior.
To clarify, AI is a process of programming a computer to make decisions for itself. This can be done in a
number of ways, but the most common is through the use of algorithms. Algorithms are a set of rules that tell
the computer what to do to reach a goal.
5. Goals of AI
The overall research of artificial intelligence is to create technology that
allows computers and machines to function in an intelligent manner. The
general problem of simulating (creating) intelligence has been broken into
sub-problems.
The traditional goals of AI research include reasoning, knowledge
representation, planning, learning, natural language processing,
perception, and the ability to move and manipulate objects.
8. Future of AI:
AI has demonstrated unprecedented growth.
Sophia one of the AI robots is quintessential.
Improved speech, voice, image video recognition
will change the way we interact with our devices.
Personal assistants will become more personal and context-aware and more
and more systems will run automatically to a point.
9. ROBOTICS
Robotics means the study and application of robot technology.
Robotics is a branch of engineering that involves the conception, design,
manufacture, and operation of machines assigned for specific high-precision
and repetitive tasks.
Robot: "A reprogrammable, multifunctional manipulator designed to move
material, parts, tools, or specialized devices through various programmed
motions for the performance of a variety of tasks".
10. Relevance to AI
Effectors
Sensors
Architecture
Integration of various inputs
-Hierarchy of information representation
Emotions
11. Effectors
• Effector vs. Actuator
• Degrees of freedom (d.f.)
• 6 d.f. for free body in space
• Locomotion
• Statically stable vs. Dynamically stable
• Manipulation
• Rotary vs. Prismatic motion
• End Effector
Four-finger Utah/MIT
hand
12. Sensors
• Force-sensing
• Tactile-sensing
• Sonar
• Visual (camera)
• Proprioceptive
Robot with a camera attached
13. Architecture
• Classical architecture
• shortcomings
• Behavior-based architecture
Sensors
Reason about behavior of objects
Identify objects
Build maps
Avoid objects
Actuators
Design for a behavior-based mobile robot
14. Information Representing the Hierarchy
• Raw data
• Cognitive feature
• Conceptual feature
• Simple concept
• Inter-connected synthesized
concept
15. Importance of Emotions
• Emotions help prevent people from repeating their mistakes (decisions that
resulted in negative feelings)
• Recognizing emotions would allow robots to become more responsive to
users’ needs
• Exhibiting emotions would help robots interact with humans
16. Current Implementation
Industrial robots
used in factories to manufacture boxes and
pack and wrap merchandise
Car manufacturers own 50% of today’s robots
Robots used in hazardous situations
Nuclear power plants
Response to bomb threat
Outer space exploration
17. Myths :
The overall research of artificial intelligence is to create technology that
allows computers and machines to function in an intelligent manner. The
general problem of simulating (creating) intelligence has been broken into
sub-problems.
The traditional goals of AI research include reasoning, knowledge
representation, planning, learning, natural language processing,
perception, and the ability to move and manipulate objects.
18. • Machines have jobs to perform, i.e., they have goals.
• It isn’t the machine that’s the problem—it’s the human making the
decisions about the machine’s goals that’s the real issue.
• Just because AI may be ‘smarter’ in the way in which it solves
problems at a much faster speed than a human can, it doesn’t follow
anything outside of its own programming. The core of the issue, and the
possibility of danger, is about humans making decisions about the goals
intended for an AI platform.
Conclusions
