Explaining 5 Most Important Terms Related To Artificial Intelligence

art-int-1024x576A vast majority of the digital devices and apps that are now coming up are being equipped with an edge of artificial intelligence. It has almost become the new normal term of the digital and technology world. Given the huge potential of AI in transforming user experience and facilitating easiest customer interactions, we understand why it is quite taken for granted.

But artificial intelligence is far from a lonely term and single concept. In face, AI represents a cluster of ahead-in-time, sophisticated concepts. Knowing these terms is important to conceive a proper idea of artificial intelligence. Here we are going to explain 5 such terms that are intrinsic to the understanding of artificial intelligence.

  1. Algorithms

Algorithms basically refer to the sets of rules followed by computer programs. When such rules are in practice, the digital interactions follow a highly predetermined path. This saves a lot of time and energy in doing certain things. Now, when such rules really get complex with lot of conditions and dependencies, it can deliver highly intelligent outcomes with precision. These algorithms can make a web function or app more intelligent than ever.

2. Artificial Intelligence

Obviously, artificial intelligence itself is a term that needs to be discussed. The most common example of a machine or software behaving and interacting intelligently are the digital assistants that became common with Android & iOS latest editions. From Siri to Google Assistant to Amazon Alexa, all these digital assistant programs now dominate our mobile interactions as we can allow them to perform all tasks based on the individualized preferences.

3. Deep Learning

Let us be very clear of one thing. Deep learning is not machine learning although both of them share close relations as part of the common ground of artificial intelligence. Deep learning is the ability of machines that allow them to learn deep insights by going deeper into the machine to machine interactions and user data. A diversified voluminous pile of digital data allows more precise search for insights from all the acquired digital data.

4. Machine Learning

When machines learn from the user interactions or preferences and accordingly adjust the output results, it is referred as machine learning. Thanks to machine learning these days we can see smartphones managing power consumption based on the patterns of usage. Machine learning can be experienced in various degrees across different interfaces and platforms. Most advanced machine learning programs basically learn from human interactions but over time become capable to perform cognitive analytics as well as decision making.

  1. Neural Networks

Neural networks is a term that is closely associated with machine learning and it is named as such because it basically tries to mimic the process human brain functions with. The neural network as the term has been popular firstly with high end processors and thereafter it gained popularity with enhanced machine led intelligent capacity of interactions. In essence, some of the high end processors try to work with the neural and deep analytical behaviour of human brains and that precisely is neural network.

To conclude, we have only explained all these terms related to artificial intelligence in brief and such brief explanations cannot do justice to the vast concepts pertaining to them.

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