Unlocking AI: Your Guide to Artificial Intelligence

Curious about AI? Dive in & explore what Artificial Intelligence is, how it works, & its real-world applications.

1. Artificial
Intelligence?

Presented by startelelogic

2. Artificial Intelligence (Al) refers to the development
of computer systems capable of performing tasks
that typically require human intelligence.

These tasks include learning,
reasoning, problem-solving,
perception, and language

understanding.

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3. XX

Types
of A

E

Narrow Al (Weak Al)

Al designed and trained for a specific task, such
as image recognition or language translation.

General Al (Strong Al)

Al with human-like cognitive abilities, capable of
understanding and performing any intellectual
task that a human can.

4. Components of Al

Machine Learning Neural Networks

Subset of Al that enables systems to Introduction to artificial neural
learn from data and improve over time networks, inspired by the structure
without explicit programming. and functioning of the human brain.

NLP, Computer Vision, Robotics

Brief descriptions of other key components
contributing to Al's capabilities, including
NLP, computer vision, and robotics.

5. Al
Applications

¿A

Healthcare:

Al assists in disease diagnosis,
personalized treatment plans,
and drug discovery.

Automotive

Self-driving cars utilize Al for
navigation, object recognition,
and decision-making on the road

Gaming

Al opponents in video games
employ adaptive strategies and
behaviors to challenge players.

Finance:

Al algorithms power fraud
detection, algorithmic trading, 8. risk
assessment in financial markets.

Customer Service

Chatbots provide automated
customer support and assistance
in various industries.

6. Al Techniques

Algorithms that enable systems to learn
from data and improve over time without
explicit programming.

Subset of machine learning using neural
networks with many layers, capable of

Machine Learning Deep Learning
learning representations of data.

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7. Data Quality

Al systems heavily rely on quality data for
training and decision-making.

Security

Risks of Al systems being exploited or
manipulated for malicious purposes.

Interpretability

Understanding how Al systems arrive at their
decisions is crucial for trust and accountability.

XX

Challenges in
AI Development

8. ¡A Future

Continued development of self-learning
and self-optimizing Al systems.

Human-Al Collaboration

Enhancing human capabilities through Al de Ti... (p= D a
augmentation rather than replacement. |
1

Ethical Al J | E

Increased focus on developing Al systems
that are transparent, fair, and aligned with
human values.

9. *

> Encouragement for continued

E

exploration and innovation in Al to
address societal challenges and
improve human well-being.

10. EN
Thankyou |