Artificial intelligence (AI)- The future of Mankind

Artificial intelligence (AI)- The future of Mankind


Artificial intelligence (AI)- The future of Mankind

Artificial intelligence (AI) is the clone of human intellectual property which is processed by machines. Machines has ability of perform human-like skills of insight including learning, problem-solving, understanding, decision-making, and speech and language using artificial intelligence. A computer with cognitive property can be used to explore how human reason, learn, judge, perceive, and execute mental actions. It also helps addressing social, humanitarian and environmental challenges in sectors like healthcare, education, disaster prevention and conversation.

Artificial intelligence (AI) majorly highlight following skills:
  1. Learning process: This process focuses on gathering related data from various sources and creating new rules from the collected data. Here, the rules are called as algorithms. This algorithm will provide step by step instruction to complete the given task.
  2. Reasoning processes: Reasoning process means choosing the correct algorithm to get an expected outcome.
  3. Self-correction processes: Self-correction processes means looping and modifying algorithms in such a way that it must provide the most accurate result.
Components of AI

Applications of AI:
  • Speech recognition.
  • Planning.
  • Knowledge reasoning.
  • Natural language processing.
  • Machine vision.

Types of models:
  1. Deep Learning: Deep Learning is a subset of device machine learning and artificial intelligence with a few algorithms referred by the shape and feature of the brain known as artificial neural networks. Deep learning knowledge of is ready neural networks with extra neurons, layers, and interconnectivity. Deep Learning may be supervised, semi-supervised or unsupervised.
  2. Machine Learning: Machine learning is a Subset of artificial intelligence (AI) that allow systems the ability to automatically learn and improve from previous event without being leaving programmed. Set of instruction build a mathematical model based on sample data, known as "training data".
  3. Artificial Neural Networks: Artificial neural networks (ANN) also known as as connectionist structures are computing structures slightly referred through the biological neural networks that are present in human brains.
Examples of artificial intelligence:
  • Siri
  • Tesla
  • Cogito
  • Netflix
  • Pandora
  • Nest (Google)
  • Echo
  • Self-driving cars
  • Alexa

  •  Reduction in Human Error
  •  Takes risks instead of Humans
  •  Availability
  •  Digital Assistance            
  •  Faster Decisions
  •  High Costs of Creation
  •  Making Humans Lazy
  • Unemployment
  •  Lacking Out of Box Thinking
  •  No Emotions  

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