This document provides an overview of key elements of artificial intelligence (AI), including:
- Definitions of AI as the study of computer systems that attempt to model human intelligence and the capability of machines to imitate intelligent human behavior.
- A brief history of AI from the 1950s to today, including early pioneers and the development of technologies like machine learning.
- The current status of AI in applications such as mobile devices, video games, robotics, and more advanced uses of deep learning.
- The main types of AI: artificial narrow intelligence, artificial general intelligence, and artificial superintelligence.
- Advantages and disadvantages as well as challenges and future possibilities for AI.
2. CONTENTS-
Introduction
Definition
Early History
Limitations of Human Mind
Current status of AI
Types of AI
Applications
Advantages
Disadvantages
Challenges for AI and Futuree of AI
Conclusion
Referance
4. DEFINITION- (What is Ai)
The study of computer systems
that attempt to model and apply
the intelligence of the human
mind.
A branch of computer science
dealing with the simulation of
intelligent behaviour in
computers.
The capability of a machine to
imitate intelligent human
behaviour.
5. HISTORY-
In 1950 English mathematician Alan
Turing wrote a landmark paper titled
“Computing Machinery and
Intelligence” that asked the question:
“Can machines think?”
Further work came out of a 1956
workshop at Dartmouth sponsored by
John McCarthy. In the proposal for
that workshop, he coined the phrase a
“study of Artificial Intelligence”
6. Brief History of A I -
1941: First electronic computer (technology finally available)
1956: Term Artificial Intelligence introduced
1960s: Checkers-playing program that was able to play games with
opponents
1980s: Quality Control Systems
2000: First sophisticated walking robot
7. LIMITATIONS OF HUMAN MIND
Object recognition.
Face recognition.
Naming of colours.
8.
9. CURRENT STASTUS OF AI
AI have taken many shapes and forms over recent years
Mobile Phones ( Siri/ Cortana) o Video Games Characters o GPS/
Voice Recognition o Robotics
Google has been a major play on AI transcendence and Deep
Learning. o Deep learning is a machine learning based on algorithms.
Some programmable functions of AI systems include planning,
learning, reasoning, problem solving, and decision making.
10. TYPES OF AI
Artificial narrow intelligence (ANI)-
Artificial general intelligence (AGI)-
Artificial superintelligence (ASI)-
11. Artificial narrow intelligence
Artificial narrow intelligence (ANI), also referred to as
weak AI or narrow AI.
Narrow AI is goal-oriented, designed to perform singular
tasks
i.e. facial recognition, speech recognition/voice
assistants, driving a car, or searching the internet - and is
very intelligent at completing the specific task it is
programmed to do.
12. Artificial general intelligence
Artificial general intelligence is the hypothetical ability of
intellegent agaent to understand or learn any intellectual
task that human being can
AGI can think, understand, and act in a way that is
indistinguishable from that of a human in any given
situation.
13. Artificial Super Intelligence
Artificial super intelligence (ASI), is the hypothetical AI
that doesn’t just mimic or understand human intelligence
and behaviour;
ASI is where machines become self-aware and surpass the
capacity of human intelligence and ability.
14. APPLICATIONS OF AI
Finance
Banking
1. organize operations, invest in stocks, and manage properties.
2. In August 2001, robots beat humans in a simulated financial trading
competition.
3. Some other applications in this section include loan investigation,
ATM design, safe and fast banking etc
15. Medical:
A medical clinic can use AI
systemsto organize bed schedules,
make a staff rotation, and provide
medical information.
AI has also application in fields of
cardiology (CRG), neurology
(MRI), embryology
(sonography),complex operations of
internal organs etc.
16. Heavy Industries-
Huge machines involverisk in
their manual maintenance and
working.So its becomes
necessary part to have an
efficient and safe operation agent
in their operation.
18. ADVANTAGES
AI drives down the time taken to perform a task. It enables multi-
tasking and eases the workload for existing resources.
AI enables the execution of hitherto complex tasks without
significant cost outlays.
AI operates 24x7 without interruption or breaks and has no
downtime
AI augments the capabilities of differently abled individuals
AI has mass market potential, it can be deployed across industries.
AI facilitates decision-making by making the process faster and
smarter.
19. Disadvantages
Self-modifying, when combined with self-replicating, can lead to
dangerous, unexpected results, such as a new and frequently
mutating computer virus.
21. CONCLUSION-
Artificial Intelligence and the technology are one side of the life that
always interest and surprise us with the new ideas, topics, innovations,
products …etc. AI is still not implemented as the films representing
it(i.e. intelligent robots), however there are many important tries to
reach the level and to compete in market, like sometimes the robots that
they show inTV. Nevertheless, the hidden projects and the development
in industrial companies.