Artificial Intelligence (AI). Covering the evolution of AI, types such as machine learning and deep learning, and practical applications in various industries, the presentation explores the transformative impact of AI on our world. From healthcare to business, the slides delve into real-world examples, ethical considerations, and future trendsIn the era of rapid technological advancement, one term has taken center stage and is reshaping the way we live, work, and interact – Artificial Intelligence (AI). AI, once a concept relegated to science fiction, is now a tangible force driving innovation across various sectors. Understanding AI: At its core, AI refers to the development of computer systems that can perform tasks that typically require human intelligence. From problem-solving and learning to speech recognition and decision-making, AI is a versatile tool with the potential to revolutionize countless aspects of our daily lives. Machine Learning Marvels: One of the driving forces behind AI's prowess is Machine Learning (ML). This subset of AI enables machines to learn from data, improving their performance over time without explicit programming. Through supervised learning, unsupervised learning, and reinforcement learning, machines can now analyze vast amounts of information and extract meaningful patterns. Deep Dive into Deep Learning: Within the realm of machine learning lies a powerful technique known as deep learning. Inspired by the human brain's neural networks, deep learning involves the use of artificial neural networks with multiple layers to process and analyze complex data. This breakthrough has fueled advancements in image and speech recognition, natural language processing, and more. Real-world Applications: The impact of AI is palpable across diverse industries. In healthcare, AI is enhancing diagnostics, personalizing treatment plans, and even contributing to drug discovery. Businesses are leveraging AI for data analysis, customer service through chatbots, and optimizing supply chain logistics. The automotive industry is exploring autonomous vehicles, and AI-driven virtual assistants are becoming ubiquitous. Ethical Considerations: As AI continues to evolve, ethical considerations have come to the forefront. Issues of bias in algorithms, transparency in decision-making, and accountability in the event of errors are critical discussions. Striking the right balance between innovation and ethical responsibility is paramount to ensuring AI benefits society as a whole. Looking Ahead: The journey of AI is far from over. Emerging trends such as AI at the edge, quantum computing, and sustainability-focused applications are on the horizon. As we navigate these uncharted waters, the potential for positive transformation is vast, but so are the challenges. Responsible development and a keen awareness of ethical considerations will be key in harnessing AI's full potent

1. https://blog.google/
What is AI?
By AREEBA KHAN

2. Introduction of “AI”
Artificial intelligence AI is the ability of a computer or a
robot controlled by a computer to do tasks that are usually
done by humans because they require human intelligence
and discernment.
The term “artificial intelligence” was coined and came into
popular use. Dates of note: 1950: Alan Turing published
“Computer Machinery and Intelligence” which proposed a
test of machine intelligence called The Imitation Game .
For more

3. Types
Self awareness
Reactivemachine
Limited memory.
Theory of mind
AI
TYPE
Based
on
ability
Based
on
function
ality
ANI
AGI
ASI

4. AI Based on ability
• Narrow AI
Artificial narrow intelligence (ANI)
refers to the goal-oriented version
of AI designed to better perform a
single task.
• Super AI
It is a hypothetical form of AI that is not
yet possible to achieve.
• General AI
• The intention of an AGI system is to perform any
task that a human being is capable of. Related
information here.

5. Based on functionality
reactive machines
Reactive machines are AI systems that
have no memory and are task specific.
Theory of mind
Understand the needs of others
intelligent entities sophia is the best
example of it
Self awareness
Has human like intelligence and
self-awareness
Limited memory
Limited memory types refer to an A.I.'s
ability to store previous data and/or
predictions, using that data to make better
predictions

6. What is
machine
learning?
Machine
Learning
Machine learning focuses on developing
computer programs that can access data
and use it to learn for themselves.. IBM has
a rich history with machine learning.

7. Applications of AI
finance
government Auto
mobile
business
gaming
education
manufacturing
Health
care

8. Advantages and disadvantages
Advantages Disadvantages
• It can automate repetitive
tasks,
• improve efficiency,
• personalize experience
• Job replacement
• Ethical concern
• Security risk from hacking
more.

9. Robotics
What are the benefits of AI
robots for society?
Robots can offer increased productivity,
efficiency, quality, and consistency. Robots
can't get bored with their job. Until they
switch off, they can repeat the same task
continuously.