A Generalized Overview of Different Types of AI

A Generalized Overview of Different Types of AI

A Generalized Overview of Different Types of AI

Many AI experts like to promote the idea that understanding the AI space is like measuring the ocean using the lid of the bottle. What we know of AI in traditional norms is just the tip of the iceberg. AI continues to be the most complex and to an extent highly ambiguous creations of mankind. AI’s fast-paced growth and powerful abilities provide ample opportunity to mankind to explore the role of Applied AI in different industries and how these can empower business leaders to think beyond the mainstream in solving complex problems. A great example of what is Applied AI’s role is in 2021 can be understood from the way it has been used to fight the COVID-19 pandemic with all the available resources.

In order to understand what is applied AI, we have to understand how AI is classified.

Here are some of the ways data scientists like to classify AI in today’s world.

AI Types based on Functionality

  • Reactive Machines
  • Limited Memory
  • Theory of Mind
  • Self-Aware

Types of AI (based on technology)

  • Artificial Narrow Intelligence (ANI)
  • Artificial General Intelligence (AGI)
  • Artificial Super Intelligence (ASI)

We have more types of AI coming up in the recent months, largely due to the rise of data governance and security frameworks. These are:

  • Ethical AI
  • Embedded AI
  • Democratized AI
  • Open Source AI, and so on.

Applied AI: Understanding the Role in Modern World

Applied AI is simply the application of artificial intelligence capabilities in the real world scenario. They would essentially involve the use of sensors, VMs, embedded analytics, and automated machine learning models to provide a high degree of accuracy and adaptation. Applied AI could be categorized into ANI, ASI, or AGI depending on the final outcome of the procedure.

Commonly, Applied AI is used to reduce manual work, and enhance the degree of accuracy in workflows that are most likely to be inflicted with errors. A common example is the use of Document Automation and Content generation platforms.

Applied AI is also used to enhance the degree of automation, which can be integrated with advanced analytics and predictive intelligence to simulate augmented intelligence outcomes in highly complex digital worlds. A common example we can portray here is that of Uber’s cab hailing service that accurately provides the time it would take for you to complete your journey once you have booked your cab. It also predicts the fare for your journey, based on traffic and time of journey.

Similar simulations can be embraced in the fields of IT automation and managed services where risks and threats are detected in advance in ideal conditions, thereby saving the users millions of dollars that would otherwise be lost to errors and attacks.

Applied AI versus Self Aware AI

Super intelligence is based on supercomputing power. SI, like AI, is the sibling concept in self aware intelligence.

According to researchers, super intelligence emerges from the machine’s ability to control the data set and also the outcomes that could alter the way humans see AI’s role in the modern world. For example, SI tools can identify genes that cause cancer mutations and automatically transmit information related to the next course of action in cancer therapy.

Similar experiments are carried out in the fields of sports by IBM Watson AI and AWS, that predict the outcome of a motor race or a tennis match based on the historic data.

We are fast approaching a scenario where data scientists are grouping to build a highly advanced AI model that can learn on its own and perform tasks based on cognitive intelligence, meaning it will learn from human behavior based on minimum supervision or at best, work on unsupervised algorithms completely. Self aware AI, though occurring hypothetically, is a highly useful concept.

Self aware AI, together with Applied AI can breach all the boundaries of modern logic in industrial applications. Self aware AI is primarily targeted to be applied in military operations that can impart a high degree of accuracy to develop mechanisms and discover conditions encountered on the battlefield or during simulated operations. US and Israeli military departments are heading toward applied AI for self knowledge experiences.

Today, applied AI is really exciting and likely to open new doors of opportunities for everyone.

The post A Generalized Overview of Different Types of AI first appeared on Tekrati and is written by adityasehgal


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