Artificial Intelligence

Artificial Intelligence

Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans. For example:

  • speech recognition
  • problem-solving
  • learning
  • planning
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Where is Artificial Intelligence used:

  • It can be used in many sectors such as transportation, finance, healthcare, banking, education etc

Four types of Artificial Intelligence

They include: reactive machines, limited memory, theory of mind and self-awareness.

Concepts of Artificial Intelligence


Theoretical AI says that Intelligence ( be it natural or artificial ) has three types:

  • Artificial Narrow Intelligence ( ANI )
  • Artificial General Intelligence ( AGI )
  • Artificial Super Intelligence ( ASI ) ( the coolest of all… )


AI Takes Different Forms

Artificial intelligence is an umbrella term that refers to any and all machine intelligence. However, there are several distinct and separate areas of AI research and use – though they sometimes overlap. These include:

  • General AI. These systems typically learn from the world around them and apply data in a cross-domain way. For example, DeepMind, now owned by Google, used a neural network to learn how to play video games similar to how humans play them.
  • Natural Language Processing (NLP). This technology allows machines to read, understand, and interpret human language. NLP uses statistical methods and semantic programming to understand grammar and syntax, and, in some cases, the emotions of the writer or those interacting with a system like a chat bot.
  • Machine perception. Over the last few years, enormous advances in sensors — cameras, microphones, accelerometers, GPS, radar and more — have powered machine perception, which encompasses speech recognition and computer vision used for facial and object recognition.
  • Robotics. Robot devices are widely used in factories, hospitals and other settings. In recent years, drones have also taken flight. These systems — which rely on sophisticated mapping and complex programming—also use machine perception, to navigate through tasks.
  • Social intelligence. Autonomous vehicles, robots, and digital assistants such as Siri and Alexa require coordination and orchestration. As a result, these systems must have an understanding of human behavior along with a recognition of social norms.
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A captivating conversation is taking place about the future of artificial intelligence and what it will/should mean for humanity. There are fascinating controversies where the world’s leading experts disagree, such as: AI’s future impact on the job market; if/when human-level AI will be developed; whether this will lead to an intelligence explosion; and whether this is something we should welcome or fear. 

Thank you.

Thank you Jolyne Jelimo. Very Insightful article. I love these conversations. One of the core messages in my book titled "Disrupt Yourself Or Be Disrupted", is that "We cannot out-work, out-smart or out-efficient the machines but we can out-human them" However, we should be concerned about Artificial Intelligence because all things have consequences and unintended side effects we cannot really foresee or control into the future.

@very informative and useful..

It's an amalgamation of excitement and worries. It excites by easing our lifestyle and worries us by replacing human workforce and several redundancy in various labour market.

AI is simply a computer or a machine solving Linear Regression equations or Mutivariable Calculus. It's the least of my worries. Can't compare with human intelligence.

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