Intro Flashcards
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Virtual assistants how its done
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Speech recognition
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Natural language understanding
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Suggesting actions
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Game Playing how ?
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Search for a goal
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Search for a policy
Email
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Spam filters and automatic categorization How things are
done??
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Processing your input
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Natural language understanding
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Suggesting actions
Robotics
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Engineering
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Learning how to act.
What is AI
is the branch of computer science dedicated
to creating systems capable of performing tasks that typically require
human intelligence.
AI This includes abilities such as
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Understanding Natural Language,
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Recognizing Patterns,
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Solving Problems,
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Making Decisions.
Intelligence
The ability to learn and solve problems
More examples about AI
- is the intelligence exhibited by machines or software
- The science and engineering of making intelligent machines
Brief History and Evolution
1950s : The groundwork for AI was laid by pioneers like
, who proposed the Turing Test as a measure of a machine’s
ability to exhibit intelligent behavior equivalent to that of a human.
Alan Turing ,
, often called the “father of AI,” organized the 1956
Dartmouth Conference, which marked the birth of AI as a formal discipline.
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John McCarthy ,
1960s 70s
: Early developments included simple neural networks and rule based
systems, and robotics began, albeit with limited success due to computational
constraints.
1980s
: The introduction of expert systems, which utilized knowledge bases to
solve specific problems, marked a significant advancement.
1990s 2000s
: Renewed interest emerged with advances in machine
learning, particularly the development of algorithms that allowed
systems to learn from data.
2010s Present
: The advent of deep learning a subset of machine
learning utilizing multi layered neural networks has led to significant
breakthroughs in image and speech recognition.
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Technologies like self driving cars, virtual assistants, and
recommendation systems became mainstream, showcasing AI’s
Artificial Intelligence can be categorized based on
its
capabilities and the scope of its applications .
Here are
Here are the main types:
Narrow AI (Weak AI)
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General AI (Strong AI)
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Superintelligent AI
Narrow AI refers to systems designed to perform specific tasks or solve
Narrow AI refers to systems designed to perform specific tasks or solve
particular problems. Unlike human intelligence, which can adapt and
Such as language translation, image recognition, speech recognition, or
playing board games.
particular problems. Unlike human intelligence, which can adapt and
particular problems. Unlike human intelligence, which can adapt and
generalize across various contexts, Narrow AI is limited in scope.
Virtual Assistants:
Applications like Siri, Alexa, and Google Assistant can
perform a range of tasks, such as setting reminders or answering questions,
but they operate within predefined boundaries
Recommendation Systems:
Platforms like Netflix and Amazon use Narrow
AI to analyze user behavior and provide personalized content suggestions.
Autonomous Vehicles:
While they can drive themselves, they are primarily
programmed for specific driving tasks within controlled environments.
General AI represents a theoretical form of AI that possesses the ability
General AI represents a theoretical form of AI that possesses the ability
to understand, learn, and apply intelligence across a wide range of
tasks, similar to human cognitive abilities.
It would have the capacity to learn and adapt independently, improving
its own algorithms and knowledge base without human intervention.
As of now, General AI remains
AI remains a goal rather than a reality
