Artificial Intelligence is already proliferating in our lives. From robotic pets that we buy as the latest toy for our kids to the robotic surgeon that’s performing our family member’s next scheduled surgery, to the recommendation systems that learn our preferences for music, movies, and ads.

What is Artificial Intelligence?

As AI systems evolve, so has the definition used for AI. We are now referring to AI as “machines that respond to stimulation consistent with traditional responses from humans, given the human capacity for contemplation, judgment, and intention.”

Artificial Intelligence, therefore, is just as the word implies, the intelligence is artificial, programmed by humans to perform human activities. This artificial intelligence is incorporated into computer systems to create AI Systems that ultimately functions as units of “thinking machines”.

AI systems

There are two classifications for AI systems. The one is the “general AI System” that can solve problems intelligently. (Example: AI-powered Stock Trading System). The second system is more focussed and classified as “narrow AI System” that can perform specific tasks very well. (Example: AI-powered Manufacturing Arm)

Artificial Intelligence, Machine Learning, Deep Learning

AI Systems often incorporate artificial intelligence, machine learning, and deep learning to create a sophisticated intelligence machine that will perform given human functions well.

Machine Learning 

Is an application of artificial intelligence that provides the AI System with the ability to automatically learn from the environment and applies that learning to make better decisions. There are a variety of algorithms that Machine Learning uses to iteratively learn, describe and improve data in order to predict better outcomes.

Deep Learning

Is the next generation of Machine Learning. It’s a subset of Machine Learning. Deep Learning models can make their own predictions entirely independent of humans. Deep Learning models use artificial neural networks. The design of this network is inspired by the biological neural network of the human brain.

The power of deep learning algorithm lies in its ability to take on both supervised learning tasks as well as unsupervised learning tasks. It also approximates many brain development theories of the human brain.

In closing

In real life, problems are rarely simple. AI is best suited to solve certain problems over others. More often than not, AI is best suited to perform certain steps at solving a problem while leaving the rest to a human being.

To read more about AI, consult our website  or contact Ryan Danvers on 0726012858

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