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AI
Artificial Intelligence refers to the development of computer systems that can perform tasks that would typically require human intelligence. It involves the creation of algorithms and models that enable machines to learn, reason, perceive, and make decisions.
There are generally two types of AI: Narrow or Weak AI, which is designed to perform specific tasks, and General or Strong AI, which possesses human-level intelligence and can handle a wide range of tasks.
The neural network is trained by exposing it to a large dataset with known inputs and outputs. During training, the network learns to adjust its weights through backpropagation, gradually improving its ability to make accurate predictions or classifications
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A neural network consists of interconnected nodes called neurons. Neurons are organized into layers.
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Each neuron applies an activation function to the weighted sum of its inputs and produces an output
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The inputs are multiplied by their respective weights, summed up, and passed through the activation function.
/ Artificial Intellegance in shaping the future of technology.
/ Artificial Intellegance in shaping the future of technology.
/ Artificial Intellegance in shaping the future of technology.
/ Artificial Intellegance in shaping the future of technology.
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Artificial Intelligence (AI) is a field of computer science focused on creating systems or machines that can perform tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, understanding natural language, recognizing patterns, and making decisions. AI systems can be broadly categorized into two types : Narrow AI (Weak AI), General AI (Strong AI)
Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to learn from and make predictions or decisions based on data. In essence, ML is one of the primary methods by which AI systems can achieve their goals.
Artificial Intelligence (AI) is indeed transforming many industries and affecting the job market in various ways. While AI can automate certain tasks and processes, leading to job displacement in some areas, it also creates new opportunities and demands for skills in others.
Artificial Intelligence (AI) can be classified in several ways, based on different criteria. Here are the common classifications:
Based on Capability
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Narrow AI (Weak AI):
- Description: Designed and trained for a specific task. These systems can perform a particular task very well but cannot perform tasks outside their training.
- Examples: Voice assistants like Siri and Alexa, recommendation systems, image recognition software.
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General AI (Strong AI):
- Description: Hypothetical systems that possess the ability to understand, learn, and apply knowledge across a wide range of tasks at a human level of intelligence. They can adapt to new situations and solve unfamiliar problems.
- Examples: Currently, no true general AI exists, but it’s a goal for future AI research.
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Superintelligent AI:
- Description: AI that surpasses human intelligence in all aspects, including creativity, problem-solving, and emotional intelligence. This is a theoretical concept and a subject of speculation and debate among researchers.
- Examples: Not yet realized; often featured in science fiction.
Is Artificial Intelligence accessible to businesses of all sizes
Yes, AI solutions are becoming increasingly accessible to businesses .
