Artificial Intelligence Explained to a Student, Professional, and a Scientist

Rapid advancement in artificial intelligence (AI) has drastically changed the way things are moving today. Today, we will speak about this topic by approaching it from three different perspectives.

AI is defined as the science and engineering of developing intelligent machines and intelligent computer programs. Moreso, it is relevant to similar tasks such as utilizing computers to understand the human brain.

To be precise, AI is formulating a discipline that can teach the system to start thinking and reasoning like humans do. Although AI has been a technology of discussion in the 21st century, it is now currently used to reduce repetitive tasks and solve complex problems.

If you’re still unsure about what AI can do, you may proceed and read on about the technology. The way we’ll be explaining this technology is how it can be easily perceived by students, professionals, and even scientists. Here we go…

Perspective 1: AI as Explained to Elementary Students

With AI, machines have the ability to easily learn, reason, and even solve problems the way a human can do. These elements are what make robots artificially intelligent.

Perspective 2: AI as Explained to Professionals

The major sub fields of AI include:

  • Natural language processing (NLP): helps computers understand, analyze, and generate speech (human language). Some of the popular products known to all are Alexa or Google voice, also called voice assistants.
  • Cognitive computing: is a human-based interaction that aims at simulating human thoughts. Now with AI and cognitive computing, machines can easily simulate human processes by interpreting images and speech. Some of the best examples include autonomous vehicles like Nuro, Zoox, and Cruise.
  • Neural network: is a machine-based learning system that encompasses interconnected units, i.e. neurons that help process and transmit information.

To be able to understand the functionality and how AI works, the AI professional or AI engineer needs to have considerable knowledge of the technology. And with AI becoming the next tech revolution, it is advisable to pursue a career in the field.

Perspective 3: AI as Explained to Scientists

  • Limited memory: To make decisions, machines use past and present history. And since such information needs to be stored, it can only store this information up to a certain period. Therefore, the storage capacity is limited. A perfect example is autonomous cars.
  • Purely reactive: Machines are not capable to form memories; thus, they are not capable of using such experience to make decisions. Such machines can only make predictions based on certain parameters. Deep Blue, an IBM-made supercomputer well known because it defeated the chess grandmaster and world champion, Garri Kasparov, in 1997 is one perfect example.
  • Self-awareness: Machines here are aware of themselves, thus are able to recognize internal states when surrounded by a particular environment. In such cases, machines are not only capable of predicting behavior but emotions as well.
  • Theory of the mind: In such an instance, AI ensures that the machine is capable of emulating the learning process as humans do. The classification of such machines is more advanced. Thus, can express and process emotions. In theory, the knowledge of knowing what emotions are helps them predict their next step and adjust according to the behavior.

Parting Words

In a nutshell, AI has the potential to reshape career opportunities and change the world for good.

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AI Researcher, Writer, Tech Geek. Working on Deep Learning & Neural Networks. #cobots #coding #algorithms