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Artificial Intelligence The Multifaceted Technology of Tomorrow!

Your one-stop destination for all things Artificial Intelligence (AI). Delve deep into the concepts of AI, the tech responsible for creating machines with brains, and understand how highly autonomous systems are outperforming humans in every aspect.

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AI Levels & Types

We introduce the basic concepts of AI to help you achieve beneficial outcomes. Be it AI Levels or Types, we provide you a highly researched, in-depth content that lists various aspects of Weak AI, Stong AI, superintelligence, and more.
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Neural Network

Get an insight into one of the building blocks of Artificial Intelligence, Artificial Neural Networks (ANN) that enables machines to process information like humans. Learn its numerous algorithms, types, advantages, and disadvantages, among other crucial details.
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AI Agents

Our detailed article on AI Agent will guide through the depths of its types and characteristics and helps you understand its significance in Artificial Intelligence. Get clear, easy to comprehend content that delivers a detailed insight into AI Agents.
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AI Search Algorithms

Here, we will define the importance of AI search algorithms and tell you how it works behind the scenes and make various AI systems & machines capable of performing a set of problem-solving operations. Get details about its properties, types.
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AI HISTORY : The BIRTH of Artificial Intelligence

Founded in the year of 1956, at a workshop held on the campus of Dartmouth College, Artificial Intelligence became an academic discipline due to the combined efforts of a handful of scientists including John Mcarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon. This group of avant-garde men coined the term and initiated the first discussion on the possibility of creating an artificial brain. This early research in the field of Artificial Intelligence was focused on exploring areas like problem-solving and symbolic methods. Moreover, it was only later, when the US Department of Defense took an interest in the technology that work began to train machines and computers to mimic human reasoning.

But the history of AI doesn’t end here, to delve deeper into its foundations,

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AI: Levels & Types

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Weak AI/Narrow AI

Weak or Narrow AI refers to computers/machines/systems that are focused on one narrow task, which they are trained/programmed to perform. Currently, the AI-powered intelligent machines we are most familiar with are mainly Narrow. For example, Apple’s Siri, NVIDIA Self Driving Car, IBM’s Watson are all Narrow or Weak AI.

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Strong AI/Artificial General Intelligence (AGI)

Strong or Artificial General Intelligence (AGI) is the holy grail of AI, as it has the capability to learn, solve, and perform any task that it is presented, without any human intervention.

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SuperIntelligence

This is the third level of AI, which is the future potential creation of AGI. Superintelligence will be a result of recursive self-improvement, which is considered to be a major global catastrophic risk by the intellectuals of our time, as it will be surpassing the brightest of human minds.

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Weak AI/Narrow AI

Weak or Narrow AI refers to computers/machines/systems that are focused on one narrow task, which they are trained/programmed to perform. Currently, the AI-powered intelligent machines we are most familiar with are mainly Narrow. For example, Apple’s Siri, NVIDIA Self Driving Car, IBM’s Watson are all Narrow or Weak AI.

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Strong AI/Artificial General Intelligence (AGI)

Strong or Artificial General Intelligence (AGI) is the holy grail of AI, as it has the capability to learn, solve, and perform any task that it is presented, without any human intervention.

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Making knowledge of Artificial Intelligence universally accessible.Discover something new about Artificial Intelligence every day and stay updated with its latest trends, innovations, tools, etc. Enjoy more flexibility, less confusion, and ease of learning.

Semantic Networks In AI

Semantic Networks is a knowledge representation technique used for propositional information.lets go through complete guide on Semantic Networks implementation..

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Informed Search In AI

Informed Search Algorithm, is short, contains an array of knowledge, like distance to the goal, path cost, steps to reach the goal node, among others, which helps it reach the solution more efficiently, without compromising time and cost of the search.

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Fuzzy Logics Systems

Fuzzy Logic is an extremely beneficial theory that offers valuable flexibility for reasoning in Artificial Intelligence (AI). Moreover, it is the underlying concept that enables Fuzzy Logic Systems to work as per expectations.

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Alpha Beta Pruning

Earlier, we discussed a few of these algorithms.However, today, our focus will be on understanding What is Alpha Beta Pruning in AI?

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Artificial Neural Network

In depth understanding of Artificial Neural Networks and its various components, as well as to answer various questions like where Artificial Neural Network is used? How does Artificial Neural Network work?

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Search Algorithms In AI

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Ideas, suggestions, comments, or queries, we welcome it all! Whatever may your query be, our experts revert back to you with the appropriate solution, as quickly as possible. So, don’t hesitate.


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