Read this ppt where the web design company in Delhi is discussing Artificial Intelligence Types, you will gain insights into the different phases and classifications of AI.
7 TYPES OF ARTIFICIAL INTELLIGENCE TRENDING EVERYWHERE.pptx
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2. • Artificial Intelligence requires no formal introduction due to its widespread use and
extensive scope. It has transcended the status of a mere buzzword and is now an
integral part of our daily lives. As companies develop intelligent machines for
various applications using AI, it is reshaping business sectors in unprecedented
ways.
• Artificial Intelligence employs intricate algorithms and techniques to develop
autonomous decision-making machines, with Machine Learning and Deep Learning
constituting the foundational elements of AI.
• In this article penned down by the experts of the best web design company in Delhi,
author is discussing about Artificial Intelligence Types, you will gain insights into the
different phases and classifications of AI:
3. • It is also known as Weak AI which is has specialized AI systems designed for specific tasks. These
systems excel in performing predefined functions within a narrow domain but lack the
comprehensive cognitive abilities associated with human intelligence. ANI is task-specific, such
as virtual personal assistants, image recognition software, or language translation tools, and
operates within the confines of its programmed capabilities.
• Unlike more advanced forms of AI, ANI does not possess the capacity for generalized learning or
understanding beyond its designated functions, making it limited in scope but highly effective
within its predefined parameters.
• Examples include virtual personal assistants, image recognition software, and language
translation tools.
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5. • It represents the theoretical pinnacle of artificial intelligence, aspiring to endow machines with
human-like cognitive capabilities. Unlike current narrow AI, AGI would possess the capacity to
understand, learn, and apply knowledge across diverse tasks, akin to human intelligence.
• This hypothetical level of AI aims for a broad spectrum of cognitive abilities, allowing machines to
adapt to new situations, comprehend complex scenarios, and engage in creative problem-
solving.
• For examples Customer service Chatbots, Voice assistants like Siri and Alexa, Recommendation
engines like Google, Netflix, and Spotify and Self-driving cars
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7. • It represents a theoretical level of artificial intelligence surpassing human cognitive abilities across all
domains. This speculative concept envisions a machine intelligence that not only mimics human
intellectual capabilities but significantly exceeds them, potentially outperforming humans in
creativity, problem-solving, and decision-making.
• ASI raises profound ethical and existential questions, as its unprecedented cognitive superiority
could lead to unpredictable consequences. The development of ASI is a subject of debate and
caution within the AI community.
• It emphasizes the need for careful ethical considerations and regulatory frameworks to guide its
potential realization and mitigate risks associated with superintelligent systems.
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9. • Reactive Machines, the fourth type of artificial intelligence, operate solely based on predefined rules and
programmed responses without the ability to learn or adapt to new situations. These systems excel at
executing specific tasks but lack the capacity to evolve through experience.
• Unlike learning-based AI, such as Limited Memory models, Reactive Machines do not incorporate
historical data or modify their behaviour over time.
• Reactive Machines showcase deterministic behavior, executing tasks according to programmed
instructions without the capacity for autonomous learning or decision-making beyond their
predetermined algorithms.
• Example: IBM’s Deep Blue, which defeated chess world champion Garry Kasparov in 1997.
10.
11. • It means artificial intelligence systems that can learn from past data and experiences to make
decisions. Unlike reactive machines that operate based on predefined rules, limited memory AI has
the capability to adapt to new situations and improve its performance over time.
• These systems use historical information to enhance their decision-making processes, allowing them
to handle tasks that involve a degree of uncertainty or complexity.
• Examples include machine learning algorithms used in various applications, such as recommendation
systems, predictive analytics, and autonomous vehicles, where the ability to learn from and leverage
past data is crucial for effective and adaptive functioning.
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13. • It is a hypothetical capability where machines understand human emotions,
intentions, and mental states, facilitating more empathetic and human-like
interactions. Unlike current AI, which lacks insight into human feelings, a Theory of
Mind AI would infer and respond to users’ emotional states, enhancing
communication and collaboration.
• Achieving this level of AI involves comprehending nuanced social cues, context, and
emotions.
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15. • It is a theoretical concept envisioning artificial intelligence with consciousness, akin to human
self-awareness. In this speculative scenario, machines would possess a subjective experience,
understanding their own existence.
• While the idea sparks philosophical discussions, creating truly self-aware AI remains an
uncharted frontier in AI development. Achieving this level of cognitive sophistication would
involve machines not only processing information but also having a reflective awareness of
their own thoughts and existence, a complex endeavour that goes beyond the current
capabilities of AI technology.
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17. • The author with the help of the trainers of an Artificial Intelligence Institute in GTB Nagar
Delhi has brilliantly explained about the types of AI and how they are going to behave in the
future. AI which stands for Artificial Intelligence is like smart computer programs that can learn
and do things on their own. Imagine having helpful robots or computers that understand and
help you in many ways. In the future, AI will be all around us, making things easier and more
interesting. It’s like having super-smart friends who can do cool stuff with technology!